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How to Publish a Research Paper – Step by Step Guide

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Publishing a research paper is an important step for researchers to disseminate their findings to a wider audience and contribute to the advancement of knowledge in their field. Whether you are a graduate student, a postdoctoral fellow, or an established researcher, publishing a paper requires careful planning, rigorous research, and clear writing. In this process, you will need to identify a research question , conduct a thorough literature review , design a methodology, analyze data, and draw conclusions. Additionally, you will need to consider the appropriate journals or conferences to submit your work to and adhere to their guidelines for formatting and submission. In this article, we will discuss some ways to publish your Research Paper.

How to Publish a Research Paper

To Publish a Research Paper follow the guide below:

• Conduct original research : Conduct thorough research on a specific topic or problem. Collect data, analyze it, and draw conclusions based on your findings.
• Write the paper : Write a detailed paper describing your research. It should include an abstract, introduction, literature review, methodology, results, discussion, and conclusion.
• Choose a suitable journal or conference : Look for a journal or conference that specializes in your research area. You can check their submission guidelines to ensure your paper meets their requirements.
• Prepare your submission: Follow the guidelines and prepare your submission, including the paper, abstract, cover letter, and any other required documents.
• Submit the paper: Submit your paper online through the journal or conference website. Make sure you meet the submission deadline.
• Peer-review process : Your paper will be reviewed by experts in the field who will provide feedback on the quality of your research, methodology, and conclusions.
• Revisions : Based on the feedback you receive, revise your paper and resubmit it.
• Acceptance : Once your paper is accepted, you will receive a notification from the journal or conference. You may need to make final revisions before the paper is published.
• Publication : Your paper will be published online or in print. You can also promote your work through social media or other channels to increase its visibility.

How to Choose Journal for Research Paper Publication

Here are some steps to follow to help you select an appropriate journal:

• Identify your research topic and audience : Your research topic and intended audience should guide your choice of journal. Identify the key journals in your field of research and read the scope and aim of the journal to determine if your paper is a good fit.
• Analyze the journal’s impact and reputation : Check the impact factor and ranking of the journal, as well as its acceptance rate and citation frequency. A high-impact journal can give your paper more visibility and credibility.
• Consider the journal’s publication policies : Look for the journal’s publication policies such as the word count limit, formatting requirements, open access options, and submission fees. Make sure that you can comply with the requirements and that the journal is in line with your publication goals.
• Look at recent publications : Review recent issues of the journal to evaluate whether your paper would fit in with the journal’s current content and style.
• Seek advice from colleagues and mentors: Ask for recommendations and suggestions from your colleagues and mentors in your field, especially those who have experience publishing in the same or similar journals.
• Be prepared to make changes : Be prepared to revise your paper according to the requirements and guidelines of the chosen journal. It is also important to be open to feedback from the editor and reviewers.

List of Journals for Research Paper Publications

There are thousands of academic journals covering various fields of research. Here are some of the most popular ones, categorized by field:

General/Multidisciplinary

• Nature: https://www.nature.com/
• Science: https://www.sciencemag.org/
• PLOS ONE: https://journals.plos.org/plosone/
• Proceedings of the National Academy of Sciences (PNAS): https://www.pnas.org/
• The Lancet: https://www.thelancet.com/
• JAMA (Journal of the American Medical Association): https://jamanetwork.com/journals/jama

Social Sciences/Humanities

• Journal of Personality and Social Psychology: https://www.apa.org/pubs/journals/psp
• Journal of Consumer Research: https://www.journals.uchicago.edu/journals/jcr
• Journal of Educational Psychology: https://www.apa.org/pubs/journals/edu
• Journal of Applied Psychology: https://www.apa.org/pubs/journals/apl
• Journal of Communication: https://academic.oup.com/joc
• American Journal of Political Science: https://ajps.org/
• Journal of International Business Studies: https://www.jibs.net/
• Journal of Marketing Research: https://www.ama.org/journal-of-marketing-research/

Natural Sciences

• Journal of Biological Chemistry: https://www.jbc.org/
• Cell: https://www.cell.com/
• Science Advances: https://advances.sciencemag.org/
• Chemical Reviews: https://pubs.acs.org/journal/chreay
• Angewandte Chemie: https://onlinelibrary.wiley.com/journal/15213765
• Physical Review Letters: https://journals.aps.org/prl/
• Journal of Geophysical Research: https://agupubs.onlinelibrary.wiley.com/journal/2156531X
• Journal of High Energy Physics: https://link.springer.com/journal/13130

Engineering/Technology

• IEEE Transactions on Neural Networks and Learning Systems: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5962385
• IEEE Transactions on Power Systems: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59
• IEEE Transactions on Medical Imaging: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=42
• IEEE Transactions on Control Systems Technology: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=87
• Journal of Engineering Mechanics: https://ascelibrary.org/journal/jenmdt
• Journal of Materials Science: https://www.springer.com/journal/10853
• Journal of Chemical Engineering of Japan: https://www.jstage.jst.go.jp/browse/jcej
• Journal of Mechanical Design: https://asmedigitalcollection.asme.org/mechanicaldesign

Medical/Health Sciences

• New England Journal of Medicine: https://www.nejm.org/
• The BMJ (formerly British Medical Journal): https://www.bmj.com/
• Journal of the American Medical Association (JAMA): https://jamanetwork.com/journals/jama
• Annals of Internal Medicine: https://www.acpjournals.org/journal/aim
• American Journal of Epidemiology: https://academic.oup.com/aje
• Journal of Clinical Oncology: https://ascopubs.org/journal/jco
• Journal of Infectious Diseases: https://academic.oup.com/jid

List of Conferences for Research Paper Publications

There are many conferences that accept research papers for publication. The specific conferences you should consider will depend on your field of research. Here are some suggestions for conferences in a few different fields:

Computer Science and Information Technology:

• IEEE International Conference on Computer Communications (INFOCOM): https://www.ieee-infocom.org/
• ACM SIGCOMM Conference on Data Communication: https://conferences.sigcomm.org/sigcomm/
• IEEE Symposium on Security and Privacy (SP): https://www.ieee-security.org/TC/SP/
• ACM Conference on Computer and Communications Security (CCS): https://www.sigsac.org/ccs/
• ACM Conference on Human-Computer Interaction (CHI): https://chi2022.acm.org/

Engineering:

• IEEE International Conference on Robotics and Automation (ICRA): https://www.ieee-icra.org/
• International Conference on Mechanical and Aerospace Engineering (ICMAE): http://www.icmae.org/
• International Conference on Civil and Environmental Engineering (ICCEE): http://www.iccee.org/
• International Conference on Materials Science and Engineering (ICMSE): http://www.icmse.org/
• International Conference on Energy and Power Engineering (ICEPE): http://www.icepe.org/

Natural Sciences:

• American Chemical Society National Meeting & Exposition: https://www.acs.org/content/acs/en/meetings/national-meeting.html
• American Physical Society March Meeting: https://www.aps.org/meetings/march/
• International Conference on Environmental Science and Technology (ICEST): http://www.icest.org/
• International Conference on Natural Science and Environment (ICNSE): http://www.icnse.org/
• International Conference on Life Science and Biological Engineering (LSBE): http://www.lsbe.org/

Social Sciences:

• Annual Meeting of the American Sociological Association (ASA): https://www.asanet.org/annual-meeting-2022
• International Conference on Social Science and Humanities (ICSSH): http://www.icssh.org/
• International Conference on Psychology and Behavioral Sciences (ICPBS): http://www.icpbs.org/
• International Conference on Education and Social Science (ICESS): http://www.icess.org/
• International Conference on Management and Information Science (ICMIS): http://www.icmis.org/

How to Publish a Research Paper in Journal

Publishing a research paper in a journal is a crucial step in disseminating scientific knowledge and contributing to the field. Here are the general steps to follow:

• Choose a research topic : Select a topic of your interest and identify a research question or problem that you want to investigate. Conduct a literature review to identify the gaps in the existing knowledge that your research will address.
• Conduct research : Develop a research plan and methodology to collect data and conduct experiments. Collect and analyze data to draw conclusions that address the research question.
• Write a paper: Organize your findings into a well-structured paper with clear and concise language. Your paper should include an introduction, literature review, methodology, results, discussion, and conclusion. Use academic language and provide references for your sources.
• Choose a journal: Choose a journal that is relevant to your research topic and audience. Consider factors such as impact factor, acceptance rate, and the reputation of the journal.
• Follow journal guidelines : Review the submission guidelines and formatting requirements of the journal. Follow the guidelines carefully to ensure that your paper meets the journal’s requirements.
• Submit your paper : Submit your paper to the journal through the online submission system or by email. Include a cover letter that briefly explains the significance of your research and why it is suitable for the journal.
• Wait for reviews: Your paper will be reviewed by experts in the field. Be prepared to address their comments and make revisions to your paper.
• Revise and resubmit: Make revisions to your paper based on the reviewers’ comments and resubmit it to the journal. If your paper is accepted, congratulations! If not, consider revising and submitting it to another journal.
• Address reviewer comments : Reviewers may provide comments and suggestions for revisions to your paper. Address these comments carefully and thoughtfully to improve the quality of your paper.
• Submit the final version: Once your revisions are complete, submit the final version of your paper to the journal. Be sure to follow any additional formatting guidelines and requirements provided by the journal.
• Publication : If your paper is accepted, it will be published in the journal. Some journals provide online publication while others may publish a print version. Be sure to cite your published paper in future research and communicate your findings to the scientific community.

How to Publish a Research Paper for Students

Here are some steps you can follow to publish a research paper as an Under Graduate or a High School Student:

• Select a topic: Choose a topic that is relevant and interesting to you, and that you have a good understanding of.
• Conduct research : Gather information and data on your chosen topic through research, experiments, surveys, or other means.
• Write the paper : Start with an outline, then write the introduction, methods, results, discussion, and conclusion sections of the paper. Be sure to follow any guidelines provided by your instructor or the journal you plan to submit to.
• Edit and revise: Review your paper for errors in spelling, grammar, and punctuation. Ask a peer or mentor to review your paper and provide feedback for improvement.
• Choose a journal : Look for journals that publish papers in your field of study and that are appropriate for your level of research. Some popular journals for students include PLOS ONE, Nature, and Science.
• Submit the paper: Follow the submission guidelines for the journal you choose, which typically include a cover letter, abstract, and formatting requirements. Be prepared to wait several weeks to months for a response.
• Address feedback : If your paper is accepted with revisions, address the feedback from the reviewers and resubmit your paper. If your paper is rejected, review the feedback and consider revising and resubmitting to a different journal.

How to Publish a Research Paper for Free

Publishing a research paper for free can be challenging, but it is possible. Here are some steps you can take to publish your research paper for free:

• Choose a suitable open-access journal: Look for open-access journals that are relevant to your research area. Open-access journals allow readers to access your paper without charge, so your work will be more widely available.
• Check the journal’s reputation : Before submitting your paper, ensure that the journal is reputable by checking its impact factor, publication history, and editorial board.
• Follow the submission guidelines : Every journal has specific guidelines for submitting papers. Make sure to follow these guidelines carefully to increase the chances of acceptance.
• Submit your paper : Once you have completed your research paper, submit it to the journal following their submission guidelines.
• Wait for the review process: Your paper will undergo a peer-review process, where experts in your field will evaluate your work. Be patient during this process, as it can take several weeks or even months.
• Revise your paper : If your paper is rejected, don’t be discouraged. Revise your paper based on the feedback you receive from the reviewers and submit it to another open-access journal.
• Promote your research: Once your paper is published, promote it on social media and other online platforms. This will increase the visibility of your work and help it reach a wider audience.

Journals and Conferences for Free Research Paper publications

Here are the websites of the open-access journals and conferences mentioned:

Open-Access Journals:

• PLOS ONE – https://journals.plos.org/plosone/
• BMC Research Notes – https://bmcresnotes.biomedcentral.com/
• Frontiers in… – https://www.frontiersin.org/
• Journal of Open Research Software – https://openresearchsoftware.metajnl.com/
• PeerJ – https://peerj.com/

Conferences:

• IEEE Global Communications Conference (GLOBECOM) – https://globecom2022.ieee-globecom.org/
• IEEE International Conference on Computer Communications (INFOCOM) – https://infocom2022.ieee-infocom.org/
• IEEE International Conference on Data Mining (ICDM) – https://www.ieee-icdm.org/
• ACM SIGCOMM Conference on Data Communication (SIGCOMM) – https://conferences.sigcomm.org/sigcomm/
• ACM Conference on Computer and Communications Security (CCS) – https://www.sigsac.org/ccs/CCS2022/

Importance of Research Paper Publication

Research paper publication is important for several reasons, both for individual researchers and for the scientific community as a whole. Here are some reasons why:

• Advancing scientific knowledge : Research papers provide a platform for researchers to present their findings and contribute to the body of knowledge in their field. These papers often contain novel ideas, experimental data, and analyses that can help to advance scientific understanding.
• Building a research career : Publishing research papers is an essential component of building a successful research career. Researchers are often evaluated based on the number and quality of their publications, and having a strong publication record can increase one’s chances of securing funding, tenure, or a promotion.
• Peer review and quality control: Publication in a peer-reviewed journal means that the research has been scrutinized by other experts in the field. This peer review process helps to ensure the quality and validity of the research findings.
• Recognition and visibility : Publishing a research paper can bring recognition and visibility to the researchers and their work. It can lead to invitations to speak at conferences, collaborations with other researchers, and media coverage.
• Impact on society : Research papers can have a significant impact on society by informing policy decisions, guiding clinical practice, and advancing technological innovation.

Advantages of Research Paper Publication

There are several advantages to publishing a research paper, including:

• Recognition: Publishing a research paper allows researchers to gain recognition for their work, both within their field and in the academic community as a whole. This can lead to new collaborations, invitations to conferences, and other opportunities to share their research with a wider audience.
• Career advancement : A strong publication record can be an important factor in career advancement, particularly in academia. Publishing research papers can help researchers secure funding, grants, and promotions.
• Dissemination of knowledge : Research papers are an important way to share new findings and ideas with the broader scientific community. By publishing their research, scientists can contribute to the collective body of knowledge in their field and help advance scientific understanding.
• Feedback and peer review : Publishing a research paper allows other experts in the field to provide feedback on the research, which can help improve the quality of the work and identify potential flaws or limitations. Peer review also helps ensure that research is accurate and reliable.
• Citation and impact : Published research papers can be cited by other researchers, which can help increase the impact and visibility of the research. High citation rates can also help establish a researcher’s reputation and credibility within their field.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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How to Write and Publish Your Research in a Journal

Last Updated: February 26, 2024 Fact Checked

Choosing a Journal

Writing the research paper, editing & revising your paper, submitting your paper, navigating the peer review process, research paper help.

This article was co-authored by Matthew Snipp, PhD and by wikiHow staff writer, Cheyenne Main . C. Matthew Snipp is the Burnet C. and Mildred Finley Wohlford Professor of Humanities and Sciences in the Department of Sociology at Stanford University. He is also the Director for the Institute for Research in the Social Science’s Secure Data Center. He has been a Research Fellow at the U.S. Bureau of the Census and a Fellow at the Center for Advanced Study in the Behavioral Sciences. He has published 3 books and over 70 articles and book chapters on demography, economic development, poverty and unemployment. He is also currently serving on the National Institute of Child Health and Development’s Population Science Subcommittee. He holds a Ph.D. in Sociology from the University of Wisconsin—Madison. There are 13 references cited in this article, which can be found at the bottom of the page. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 697,553 times.

Publishing a research paper in a peer-reviewed journal allows you to network with other scholars, get your name and work into circulation, and further refine your ideas and research. Before submitting your paper, make sure it reflects all the work you’ve done and have several people read over it and make comments. Keep reading to learn how you can choose a journal, prepare your work for publication, submit it, and revise it after you get a response back.

Things You Should Know

• Create a list of journals you’d like to publish your work in and choose one that best aligns with your topic and your desired audience.
• Prepare your manuscript using the journal’s requirements and ask at least 2 professors or supervisors to review your paper.
• Write a cover letter that “sells” your manuscript, says how your research adds to your field and explains why you chose the specific journal you’re submitting to.

• Ask your professors or supervisors for well-respected journals that they’ve had good experiences publishing with and that they read regularly.
• Many journals also only accept specific formats, so by choosing a journal before you start, you can write your article to their specifications and increase your chances of being accepted.
• If you’ve already written a paper you’d like to publish, consider whether your research directly relates to a hot topic or area of research in the journals you’re looking into.

• Review the journal’s peer review policies and submission process to see if you’re comfortable creating or adjusting your work according to their standards.
• Open-access journals can increase your readership because anyone can access them.

• Scientific research papers: Instead of a “thesis,” you might write a “research objective” instead. This is where you state the purpose of your research.
• “This paper explores how George Washington’s experiences as a young officer may have shaped his views during difficult circumstances as a commanding officer.”
• “This paper contends that George Washington’s experiences as a young officer on the 1750s Pennsylvania frontier directly impacted his relationship with his Continental Army troops during the harsh winter at Valley Forge.”

• Scientific research papers: Include a “materials and methods” section with the step-by-step process you followed and the materials you used. [5] X Research source
• Read other research papers in your field to see how they’re written. Their format, writing style, subject matter, and vocabulary can help guide your own paper. [6] X Research source

• If you’re writing about George Washington’s experiences as a young officer, you might emphasize how this research changes our perspective of the first president of the U.S.
• Link this section to your thesis or research objective.
• If you’re writing a paper about ADHD, you might discuss other applications for your research.

• Scientific research papers: You might include your research and/or analytical methods, your main findings or results, and the significance or implications of your research.
• Try to get as many people as you can to read over your abstract and provide feedback before you submit your paper to a journal.

• They might also provide templates to help you structure your manuscript according to their specific guidelines. [11] X Research source

• Not all journal reviewers will be experts on your specific topic, so a non-expert “outsider’s perspective” can be valuable.

• If you have a paper on the purification of wastewater with fungi, you might use both the words “fungi” and “mushrooms.”
• Use software like iThenticate, Turnitin, or PlagScan to check for similarities between the submitted article and published material available online. [15] X Research source

• Header: Address the editor who will be reviewing your manuscript by their name, include the date of submission, and the journal you are submitting to.
• First paragraph: Include the title of your manuscript, the type of paper it is (like review, research, or case study), and the research question you wanted to answer and why.
• Second paragraph: Explain what was done in your research, your main findings, and why they are significant to your field.
• Third paragraph: Explain why the journal’s readers would be interested in your work and why your results are important to your field.
• Conclusion: State the author(s) and any journal requirements that your work complies with (like ethical standards”).
• “We confirm that this manuscript has not been published elsewhere and is not under consideration by another journal.”
• “All authors have approved the manuscript and agree with its submission to [insert the name of the target journal].”

• Submit your article to only one journal at a time.
• When submitting online, use your university email account. This connects you with a scholarly institution, which can add credibility to your work.

• Accept: Only minor adjustments are needed, based on the provided feedback by the reviewers. A first submission will rarely be accepted without any changes needed.
• Revise and Resubmit: Changes are needed before publication can be considered, but the journal is still very interested in your work.
• Reject and Resubmit: Extensive revisions are needed. Your work may not be acceptable for this journal, but they might also accept it if significant changes are made.
• Reject: The paper isn’t and won’t be suitable for this publication, but that doesn’t mean it might not work for another journal.

• Try organizing the reviewer comments by how easy it is to address them. That way, you can break your revisions down into more manageable parts.
• If you disagree with a comment made by a reviewer, try to provide an evidence-based explanation when you resubmit your paper.

• If you’re resubmitting your paper to the same journal, include a point-by-point response paper that talks about how you addressed all of the reviewers’ comments in your revision. [22] X Research source
• If you’re not sure which journal to submit to next, you might be able to ask the journal editor which publications they recommend.

Expert Q&A

You might also like.

• If reviewers suspect that your submitted manuscript plagiarizes another work, they may refer to a Committee on Publication Ethics (COPE) flowchart to see how to move forward. [23] X Research source Thanks Helpful 0 Not Helpful 0

• ↑ https://www.wiley.com/en-us/network/publishing/research-publishing/choosing-a-journal/6-steps-to-choosing-the-right-journal-for-your-research-infographic
• ↑ https://link.springer.com/article/10.1007/s13187-020-01751-z
• ↑ https://libguides.unomaha.edu/c.php?g=100510&p=651627
• ↑ http://www.canberra.edu.au/library/start-your-research/research_help/publishing-research
• ↑ https://writingcenter.fas.harvard.edu/conclusions
• ↑ https://writing.wisc.edu/handbook/assignments/writing-an-abstract-for-your-research-paper/
• ↑ https://www.springer.com/gp/authors-editors/book-authors-editors/your-publication-journey/manuscript-preparation
• ↑ https://apus.libanswers.com/writing/faq/2391
• ↑ https://academicguides.waldenu.edu/library/keyword/search-strategy
• ↑ https://ifis.libguides.com/journal-publishing-guide/submitting-your-paper
• ↑ https://www.springer.com/kr/authors-editors/authorandreviewertutorials/submitting-to-a-journal-and-peer-review/cover-letters/10285574
• ↑ http://www.apa.org/monitor/sep02/publish.aspx
• ↑ Matthew Snipp, PhD. Research Fellow, U.S. Bureau of the Census. Expert Interview. 26 March 2020.

About This Article

To publish a research paper, ask a colleague or professor to review your paper and give you feedback. Once you've revised your work, familiarize yourself with different academic journals so that you can choose the publication that best suits your paper. Make sure to look at the "Author's Guide" so you can format your paper according to the guidelines for that publication. Then, submit your paper and don't get discouraged if it is not accepted right away. You may need to revise your paper and try again. To learn about the different responses you might get from journals, see our reviewer's explanation below. Did this summary help you? Yes No

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• How to Publish a Research Paper: A Complete Guide
• Self Publishing Guide

Read:  Learn How to Write & Craft a Compelling Villain for Your Story.

• Step 1: Identifying the Right Journal
• Step 2: Preparing Step 3: Your Manuscript

Step 3: Conducting a Thorough Review

Step 4: Writing a Compelling Cover Letter

Step 5: Navigating the Peer Review Process

Step 6: Handling Rejections

Step 7: Preparing for Publication

Step 8: Promoting Your Published Paper

Step 1: Identifying the Right Journal 

The first step in publishing a research paper is crucial, as it sets the foundation for the entire publication process. Identifying the right journal involves carefully selecting a publication platform that aligns with your research topic, audience, and academic goals. Here are the key considerations to keep in mind during this step:

• Scope and Focus : Assess the scope and focus of your research to find journals that publish articles in your field of study. Look for journals that have previously published papers related to your topic or research area.
• Readership and Impact Factor : Consider the target audience of the journal and its readership. Higher-impact factor journals typically attract a broader readership and can enhance the visibility and credibility of your research.
• Publication Frequency : Investigate the publication frequency of the journal. Some journals publish issues monthly, quarterly, or annually. Choose a journal that aligns with your timeline for publication.
• Indexing and Reputation : Check if the journal is indexed in reputable databases, such as Scopus or PubMed. Indexed journals are more likely to be recognized and accessed by researchers worldwide.
• Journal Guidelines : Familiarise yourself with the journal’s submission guidelines, available on their website. Pay attention to manuscript length limits, reference styles, and formatting requirements.
• Open Access Options : Consider whether the journal offers open access publishing. Open-access journals allow unrestricted access to your paper, potentially increasing its visibility and impact.
• Ethical Considerations : Ensure the journal follows ethical publication practises and abides by industry standards. Verify if the journal is a member of reputable publishing organisations, such as COPE (the Committee on Publication Ethics).
• Publication Fees : Check if the journal charges any publication fees or article processing charges (APCs). These fees can vary significantly among journals and may influence your decision.
• Target Audience : Consider the journal’s target audience and the level of technical detail appropriate for that audience. Some journals cater to a more specialised readership, while others aim for a broader appeal.
• Journal Reputation : Research the reputation of the journal within your academic community. Seek advice from colleagues or mentors who have published in similar journals.

By carefully considering these factors, you can make an informed decision on the most suitable journal for your research paper. Selecting the right journal increases your chances of acceptance and ensures that your work reaches the intended audience, contributing to the advancement of knowledge in your field.

Step 2: Preparing Your Manuscript

After identifying the appropriate journal, the next step is to prepare your manuscript for submission. This stage involves meticulous attention to detail and adherence to the journal’s specific author guidelines. Here’s a comprehensive guide to preparing your manuscript:

• Read Author Guidelines : Carefully read and understand the journal’s author guidelines, which are available on the journal’s website. The guidelines provide instructions on manuscript preparation, the submission process, and formatting requirements.
• Manuscript Structure : Follow the standard structure for a research paper, including the abstract, introduction, methodology, results, discussion, and conclusion sections. Ensure that each section is clear and well-organised.
• Title and Abstract : Craft a concise and informative title that reflects the main focus of your research. The abstract should provide a summary of your study’s objectives, methods, results, and conclusions.
• Introduction : The introduction should introduce the research problem, provide context, and state the research objectives or questions. Engage readers by highlighting the significance of your research.
• Methodology : Describe the research design, data collection methods, and data analysis techniques used in your study. Provide sufficient detail to enable other researchers to replicate your study.
• Results : Present your findings in a clear and logical manner. Use tables, graphs, and figures to enhance the presentation of data. Avoid interpreting the results in this section.
• Discussion : Analyse and interpret your results in the discussion section. Relate your findings to the research objectives and previously published literature. Discuss the implications of your results and any limitations of your study.
• Conclusion : In the conclusion, summarise the key findings of your research and restate their significance. Avoid introducing new information in this section.
• Citations and References : Cite all sources accurately and consistently throughout the manuscript. Follow the journal’s preferred citation style, such as APA, MLA, or Chicago.
• Proofreading and Editing : Thoroughly proofread your manuscript to correct any grammatical errors, typos, or inconsistencies. Edit for clarity, conciseness, and logical flow.
• Figures and Tables : Ensure that all figures and tables are clear, properly labelled, and cited in the main text. Follow the journal’s guidelines for the formatting of figures and tables.
• Ethical Considerations : Include any necessary statements regarding ethical approval, conflicts of interest, or data availability, as required by the journal.

By meticulously preparing your manuscript and adhering to the journal’s guidelines, you increase the likelihood of a successful submission. A well-structured and polished manuscript enhances the readability and impact of your research, ultimately increasing your chances of acceptance for publication.

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The process of conducting a thorough review of your research paper is a critical step in the publication journey. This step ensures that your work is polished, accurate, and ready for submission to a journal. A well-reviewed paper increases the chances of acceptance and demonstrates your commitment to producing high-quality research. Here are the key aspects to consider during the review process:

• Grammatical Errors and Typos : Start by carefully proofreading your paper for any grammatical errors, typos, or spelling mistakes. Even minor errors can undermine the credibility of your research and distract readers from your main points. Use grammar-checking tools, but also read your paper line by line to catch any issues that zated tools might miss.
• Consistency and Clarity : Ensure that your writing is consistent throughout the paper. Check that you have used the same terminology, abbreviations, and formatting consistently. Additionally, pay attention to sentence structure and coherence, making sure that each paragraph flows logically into the next.
• Accuracy of Data, Graphs, and Tables : Review all the data presented in your research, including figures, graphs, and tables. Verify that the data is accurate, correctly labelled, and represented in a clear and understandable manner. Any errors in data representation can lead to misinterpretations and undermine the reliability of your findings.
• Citation and Referencing : Verify that all the sources you have cited are accurate and properly formatted according to the citation style required by the target journal. Missing or incorrect citations can lead to accusations of plagiarism and harm the integrity of your work.
• Addressing Feedback : If you have received feedback from colleagues, mentors, or peer reviewers during the pre-submission process, carefully consider their suggestions and address any concerns raised. Engaging with feedback shows your willingness to improve and strengthen your paper.
• Objective Evaluation : Try to read your paper with a critical eye, as if you were a reviewer assessing its merits. Identify any weaknesses or areas that could be improved, both in terms of content and presentation. Be open to rewriting or restructuring sections that could benefit from further clarity or depth.
• Seek Feedback : To ensure the highest quality, seek feedback from colleagues or mentors who are knowledgeable in your research field. They can provide valuable insights and offer suggestions for improvement. Peer review can identify blind spots and help you refine your arguments.
• Formatting and Guidelines : Review the journal’s specific formatting and submission guidelines. Adhering to these requirements demonstrates your attention to detail and increases the likelihood of acceptance.

In conclusion, conducting a thorough review of your research paper is an essential step before submission. It involves checking for grammatical errors, ensuring clarity and consistency, verifying data accuracy, addressing feedback, and seeking external input. A well-reviewed paper enhances its chances of publication and contributes to the overall credibility of your research.

The cover letter is your opportunity to make a strong first impression on the journal’s editor and to persuade them that your research paper is a valuable contribution to their publication. It serves as a bridge between your work and the editor, highlighting the significance and originality of your study and explaining why it is a good fit for the journal. Here are the key elements to include in a compelling cover letter:

• Introduction : Start the letter with a professional and cordial greeting, addressing the editor by their name if possible. Introduce yourself and provide your affiliation, including your academic title and institution. Mention the title of your research paper and its co-authors, if any.
• Brief Summary of Research : Provide a concise and compelling summary of your research. Clearly state the research question or problem you addressed, the methodology you employed, and your main findings. Emphasise the significance of your research and its potential impact on the field.
• Highlight Originality : Explain what sets your study apart from existing research in the field. Highlight the original contributions your paper makes, whether it’s a novel approach, new insights, or addressing a gap in the literature. Demonstrating the novelty of your work will capture the editor’s attention.
• Fit with the Journal : Explain why your research is a good fit for the target journal. Refer to recent articles published in the journal that are related to your topic and discuss how your research complements or extends those works. Aligning your paper with the journal’s scope and objectives enhances your chances of acceptance.
• Addressing Specific Points : If the journal’s author guidelines include specific requirements, address them in your cover letter. This shows that you have read and followed their guidelines carefully. For example, if the journal requires you to highlight the practical implications of your research, briefly mention these in your letter.
• Previous Engagement : If you have presented your research at a conference, workshop, or seminar, or if it has been previously reviewed (e.g., as a preprint), mention it in the cover letter. This indicates that your work has already undergone some scrutiny and may strengthen its appeal to the journal.
• Declaration of Originality : State that the paper is original, has not been published elsewhere, and is not under simultaneous consideration by any other publication. This declaration reassures the editor that your work meets the journal’s submission policies.
• Contact Information : Provide your contact details, including email and phone number, and express your willingness to address any queries or provide additional information if needed.
• Expression of Gratitude : Thank the editor for their time and consideration in reviewing your submission.

In conclusion, a well-crafted cover letter complements your research paper and convinces the journal’s editor of the significance and originality of your work. It should provide a succinct overview of your research, highlight its relevance to the journal’s scope, and address any specific points raised in the author guidelines. A compelling cover letter increases the likelihood of your paper being seriously considered for publication.

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The peer review process is a crucial step in scholarly publishing, designed to ensure the quality, accuracy, and validity of research papers before they are accepted for publication. After you submit your manuscript to a journal, it is sent to peer reviewers who are experts in your field. These reviewers carefully assess your work, providing feedback and recommendations to the editor. Navigating the peer review process requires patience, open-mindedness, and a willingness to engage constructively with reviewers. Here’s a detailed explanation of this step:

• Submission and Assignment : Once you submit your paper, the journal’s editorial team performs an initial screening to check if it aligns with the journal’s scope and guidelines. If it does, the editor assigns peer reviewers who have expertise in the subject matter of your research.
• Reviewing Process : The peer reviewers evaluate your paper’s methodology, data analysis, conclusions, and overall contribution to the field. They may assess the clarity of your writing, the strength of your arguments, and the relevance of your findings. Reviewers also look for potential flaws or limitations in your study.
• Reviewer Feedback : After the reviewers have thoroughly examined your paper, they provide feedback to the editor. The feedback usually falls into three categories: acceptance, revision, or rejection. In the case of a revision, reviewers may specify the changes they believe are necessary for the paper to meet the journal’s standards.
• Editor’s Decision : Based on the reviewers’ feedback, the editor makes a decision about your paper. The decision could be acceptance, conditional acceptance pending minor revisions, major revisions, or rejection. Even if your paper is rejected, remember that the peer review process provides valuable feedback that can help improve your research.
• Responding to Reviewer Comments : If your paper requires revisions, carefully read the reviewer comments and suggestions. Address each comment in a respectful and diligent manner, providing clear responses and incorporating the necessary changes into your manuscript.
• Revised Manuscript Submission : Submit the revised version of your paper along with a detailed response to the reviewers’ comments. Explain the changes you made and how you addressed their concerns. This demonstrates your commitment to enhancing the quality of your research.
• Reiteration of the Review Process : Depending on the revisions, the editor may send your paper back to the same reviewers or to new reviewers for a second round of evaluation. This process continues until the paper is either accepted for publication or deemed unsuitable for the journal.
• Acceptance and Publication : If your paper successfully navigates the peer review process and meets the journal’s standards, it will be accepted for publication. Congratulations on reaching this milestone!

In conclusion, the peer review process is an essential part of academic publishing. It involves expert evaluation of your research by peers in the field, who provide valuable feedback to improve the quality and rigour of your paper. Embrace the feedback with an open mind, respond diligently to reviewer comments, and be patient during the review process. Navigating peer review is a collaborative effort to ensure that only high-quality and significant research contributes to the scholarly community.

Receiving a rejection of your research paper can be disheartening, but it is a common and normal part of the publication process. It’s important to remember that rejection does not necessarily reflect the quality of your work; many groundbreaking studies have faced rejection before finding the right publication platform. Handling rejections requires resilience, a growth mindset, and the willingness to learn from the feedback. Here’s a comprehensive explanation of this step:

• Understanding the Decision : When you receive a rejection, take the time to carefully read the editor’s decision letter and the feedback provided by the peer reviewers. Understand the reasons for the rejection and the specific concerns raised about your paper.
• Embrace Constructive Feedback : Peer reviewer comments can provide valuable insights into the strengths and weaknesses of your research. Embrace the feedback constructively, recognising that it presents an opportunity to improve your work.
• Assessing Revisions : If the decision letter includes suggestions for revisions, carefully consider whether you agree with them. Evaluate if implementing these revisions aligns with your research goals and the core message of your paper.
• Revising the Manuscript : If you decide to make revisions based on the feedback, thoroughly address the reviewer’s comments and consider making any necessary improvements to your research. Pay close attention to the areas identified by the reviewers as needing improvement.
• Resubmission or Alternative Journals : After revising your manuscript, you have the option to either resubmit it to the same journal (if allowed) or consider submitting it to a different journal. If you choose the latter, ensure that the new journal aligns with your research topic and scope.
• Tailoring the Submission : When submitting to a different journal, tailor your manuscript and cover letter to fit the specific requirements and preferences of that journal. Highlight the relevance of your research to the journal’s readership and address any unique guidelines they have.
• Don’t Lose Hope : Rejections are a natural part of the publication process, and many researchers face them at some point in their careers. It is essential not to lose hope and to remain persistent in pursuing publication opportunities.
• Learn and Improve : Use the feedback from the rejection as a learning experience. Identify areas for improvement in your research, writing, and presentation. This will help you grow as a researcher and improve your chances of acceptance in the future.
• Seek Support and Guidance : If you are struggling to navigate the publication process or interpret reviewer comments, seek support from colleagues, mentors, or academic advisors. Their insights can provide valuable guidance and encouragement.

In conclusion, handling rejections is a normal part of the publication journey. Approach rejection with a growth mindset, embracing the feedback provided by reviewers as an opportunity to improve your research. Revise your manuscript diligently, and consider submitting it to other journals that align with your research. Remember that persistence, learning from feedback, and seeking support are key to achieving success in the scholarly publishing process.

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After successfully navigating the peer review process and receiving acceptance for your research paper, you are one step closer to seeing your work published in a reputable journal. However, before your paper can be published, you need to prepare it for production according to the journal’s specific requirements. This step is essential to ensuring that your paper meets the journal’s formatting and style guidelines and is ready for dissemination to the academic community. Here’s a comprehensive explanation of this step:

• Reviewing the Acceptance Letter : Start by carefully reviewing the acceptance letter from the journal’s editor. This letter will outline any final comments or suggestions from the reviewers that need to be addressed before publication.
• Addressing Reviewer Comments : If there are any outstanding revisions or clarifications requested by the reviewers, address them promptly and thoroughly. Reviewer feedback plays a crucial role in enhancing the quality and clarity of your paper, so it’s essential to give each comment due attention.
• Adhering to Journal Guidelines : Familiarise yourself with the journal’s production requirements and guidelines for formatting, referencing, and figure preparation. Ensure that your paper adheres to these guidelines to avoid delays in the publication process.
• Finalising the Manuscript : Once all revisions have been made and the paper aligns with the journal’s requirements, finalise your manuscript. Carefully proofread the entire paper to catch any remaining grammatical errors or typos.
• Handling Permissions and Copyright : If your paper includes copyrighted material (e.g., figures, tables, or excerpts from other publications), obtain permission from the original copyright holders to reproduce that content in your paper. This is crucial to avoid potential copyright infringement issues.
• Completing Authorship and Affiliation Details : Verify that all authors’ names, affiliations, and contact information are accurate and consistent. Ensure that the corresponding author is clearly identified for communication with the journal during the publication process.
• Submitting the Final Manuscript : Follow the journal’s instructions to submit the final version of your manuscript along with any required supplementary materials. This may include high-resolution figures, data sets, or additional supporting information.
• Waiting for Publication : After submitting the final version, the journal’s production team will work on typesetting, formatting, and preparing your paper for publication. This process may take some time, depending on the journal’s workflow and schedule.
• Proofing and Corrections : Once the typeset proof is ready, carefully review it for any formatting errors or typographical mistakes. Respond to the journal promptly with any necessary corrections or clarifications.
• Copyright Transfer : If required by the journal, complete the copyright transfer agreement, granting the publisher the right to publish and distribute your work.
• Publication Date and DOI : Your paper will be assigned a publication date and a Digital Object Identifier (DOI), a unique alphanumeric string that provides a permanent link to your paper, making it easily accessible and citable.

In conclusion, preparing your research paper for publication involves carefully addressing reviewer comments, adhering to journal guidelines, handling permissions and copyright issues, and submitting the final version for production. Thoroughly reviewing and finalising your paper will ensure its readiness for dissemination to the academic community.

Congratulations on successfully publishing your research paper! Now, it’s time to promote your work to reach a broader audience and increase its visibility within the academic and research communities. Effective promotion can lead to more citations, recognition, and potential collaborations. Here’s a comprehensive explanation of this step:

• Share on Social Media : Utilise social media platforms to announce the publication of your paper. Share the title, abstract, and a link to the paper on your professional profiles, such as  LinkedIn ,  Twitter , or  ResearchGate . Engage with your followers to generate interest and discussion.
• Collaborate with Colleagues : Collaborate with your co-authors and colleagues to promote the paper collectively. Encourage them to share the publication on their social media and academic networks. A collaborative effort can increase the paper’s visibility and reach.
• Academic Networks and Research Platforms : Upload your paper to academic networks and research platforms like Academia.edu, Mendeley, or Google Scholar. This allows other researchers to discover and cite your work more easily.
• Email and Newsletters : Inform your professional contacts and research network about the publication through email announcements or newsletters. Consider writing a brief summary of your paper’s key findings and significance to entice readers to access the full paper.
• Research Blog or Website : If you have a personal research blog or website, create a dedicated post announcing the publication. Provide a summary of your research and its implications in a reader-friendly format.
• Engage with the Academic Community : Participate in academic conferences, workshops, and seminars to present your research. Networking with other researchers and sharing your findings in person can create buzz around your paper.
• Press Releases : If your research has practical implications or societal relevance, consider working with your institution’s press office to issue a press release about your paper. This can attract media attention and increase public awareness.
• Academic and Research Forums : Engage in online academic and research forums to discuss your findings and share insights. Be active in relevant discussions to establish yourself as an expert in your field.
• Researcher Profiles : Keep your researcher profiles, such as those on Google Scholar, ORCID, and Scopus, updated with your latest publications. This ensures that your paper is indexed and visible to other researchers searching for related work.
• Altmetrics : Monitor the altmetrics of your paper to track its online attention, including mentions, downloads, and social media shares. Altmetrics provide additional metrics beyond traditional citations, giving you insights into your paper’s broader impact.
• Engage with Feedback : Respond to comments and questions from readers who engage with your paper. Engaging in scholarly discussions can further promote your work and demonstrate your expertise in the field.

In conclusion, promoting your published paper is an essential step to increasing its visibility, impact, and potential for further collaboration. Utilise social media, academic networks, collaborations with colleagues, and engagement with the academic community to create interest in your work. Effective promotion can lead to more citations and recognition, enhancing the overall impact of your research.

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Publishing a research paper is a rewarding experience that requires dedication, perseverance, and attention to detail. By following this essential guide, you can navigate the publication process successfully and contribute valuable knowledge to your field of study.

Remember, each publication is a stepping stone in your academic journey, and even rejections provide opportunities for growth. Embrace the process, continue refining your research, and celebrate your contributions to advancing scientific knowledge. Good luck on your journey to academic success!

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Home → Get Published → How to Publish a Research Paper: A Step-by-Step Guide

How to Publish a Research Paper: A Step-by-Step Guide

Jordan Kruszynski

• January 4, 2024

You’re in academia.

You’re going steady.

Your research is going well and you begin to wonder: ‘ How exactly do I get a research paper published?’

If this is the question on your lips, then this step-by-step guide is the one for you. We’ll be walking you through the whole process of how to publish a research paper.

Publishing a research paper is a significant milestone for researchers and academics, as it allows you to share your findings, contribute to your field of study, and start to gain serious recognition within the wider academic community. So, want to know how to publish a research paper? By following our guide, you’ll get a firm grasp of the steps involved in this process, giving you the best chance of successfully navigating the publishing process and getting your work out there.

Understanding the Publishing Process

To begin, it’s crucial to understand that getting a research paper published is a multi-step process. From beginning to end, it could take as little as 2 months before you see your paper nestled in the pages of your chosen journal. On the other hand, it could take as long as a year .

Below, we set out the steps before going into more detail on each one. Getting a feel for these steps will help you to visualise what lies ahead, and prepare yourself for each of them in turn. It’s important to remember that you won’t actually have control over every step – in fact, some of them will be decided by people you’ll probably never meet. However, knowing which parts of the process are yours to decide will allow you to adjust your approach and attitude accordingly.

Each of the following stages will play a vital role in the eventual publication of your paper:

• Preparing Your Research Paper
• Finding the Right Journal
• Crafting a Strong Manuscript
• Navigating the Peer-Review Process
• Submitting Your Paper
• Dealing with Rejections and Revising Your Paper

Step 1: Preparing Your Research Paper

It all starts here. The quality and content of your research paper is of fundamental importance if you want to get it published. This step will be different for every researcher depending on the nature of your research, but if you haven’t yet settled on a topic, then consider the following advice:

• Choose an interesting and relevant topic that aligns with current trends in your field. If your research touches on the passions and concerns of your academic peers or wider society, it may be more likely to capture attention and get published successfully.
• Conduct a comprehensive literature review (link to lit. review article once it’s published) to identify the state of existing research and any knowledge gaps within it. Aiming to fill a clear gap in the knowledge of your field is a great way to increase the practicality of your research and improve its chances of getting published.
• Structure your paper in a clear and organised manner, including all the necessary sections such as title, abstract, introduction (link to the ‘how to write a research paper intro’ article once it’s published) , methodology, results, discussion, and conclusion.
• Adhere to the formatting guidelines provided by your target journal to ensure that your paper is accepted as viable for publishing. More on this in the next section…

Step 2: Finding the Right Journal

Understanding how to publish a research paper involves selecting the appropriate journal for your work. This step is critical for successful publication, and you should take several factors into account when deciding which journal to apply for:

• Conduct thorough research to identify journals that specialise in your field of study and have published similar research. Naturally, if you submit a piece of research in molecular genetics to a journal that specialises in geology, you won’t be likely to get very far.
• Consider factors such as the journal’s scope, impact factor, and target audience. Today there is a wide array of journals to choose from, including traditional and respected print journals, as well as numerous online, open-access endeavours. Some, like Nature , even straddle both worlds.
• Review the submission guidelines provided by the journal and ensure your paper meets all the formatting requirements and word limits. This step is key. Nature, for example, offers a highly informative series of pages that tells you everything you need to know in order to satisfy their formatting guidelines (plus more on the whole submission process).
• Note that these guidelines can differ dramatically from journal to journal, and details really do matter. You might submit an outstanding piece of research, but if it includes, for example, images in the wrong size or format, this could mean a lengthy delay to getting it published. If you get everything right first time, you’ll save yourself a lot of time and trouble, as well as strengthen your publishing chances in the first place.

Step 3: Crafting a Strong Manuscript

Crafting a strong manuscript is crucial to impress journal editors and reviewers. Look at your paper as a complete package, and ensure that all the sections tie together to deliver your findings with clarity and precision.

• Begin by creating a clear and concise title that accurately reflects the content of your paper.
• Compose an informative abstract that summarises the purpose, methodology, results, and significance of your study.
• Craft an engaging introduction (link to the research paper introduction article) that draws your reader in.
• Develop a well-structured methodology section, presenting your results effectively using tables and figures.
• Write a compelling discussion and conclusion that emphasise the significance of your findings.

Step 4: Navigating the Peer-Review Process

Once you submit your research paper to a journal, it undergoes a rigorous peer-review process to ensure its quality and validity. In peer-review, experts in your field assess your research and provide feedback and suggestions for improvement, ultimately determining whether your paper is eligible for publishing or not. You are likely to encounter several models of peer-review, based on which party – author, reviewer, or both – remains anonymous throughout the process.

When your paper undergoes the peer-review process, be prepared for constructive criticism and address the comments you receive from your reviewer thoughtfully, providing clear and concise responses to their concerns or suggestions. These could make all the difference when it comes to making your next submission.

The peer-review process can seem like a closed book at times. Check out our discussion of the issue with philosopher and academic Amna Whiston in The Research Beat podcast!

Step 5: Submitting Your Paper

As we’ve already pointed out, one of the key elements in how to publish a research paper is ensuring that you meticulously follow the journal’s submission guidelines. Strive to comply with all formatting requirements, including citation styles, font, margins, and reference structure.

Before the final submission, thoroughly proofread your paper for errors, including grammar, spelling, and any inconsistencies in your data or analysis. At this stage, consider seeking feedback from colleagues or mentors to further improve the quality of your paper.

Step 6: Dealing with Rejections and Revising Your Paper

Rejection is a common part of the publishing process, but it shouldn’t discourage you. Analyse reviewer comments objectively and focus on the constructive feedback provided. Make necessary revisions and improvements to your paper to address the concerns raised by reviewers. If needed, consider submitting your paper to a different journal that is a better fit for your research.

For more tips on how to publish your paper out there, check out this thread by Dr. Asad Naveed ( @dr_asadnaveed ) – and if you need a refresher on the basics of how to publish under the Open Access model, watch this 5-minute video from Audemic Academy !

Final Thoughts

Successfully understanding how to publish a research paper requires dedication, attention to detail, and a systematic approach. By following the advice in our guide, you can increase your chances of navigating the publishing process effectively and achieving your goal of publication.

Remember, the journey may involve revisions, peer feedback, and potential rejections, but each step is an opportunity for growth and improvement. Stay persistent, maintain a positive mindset, and continue to refine your research paper until it reaches the standards of your target journal. Your contribution to your wider discipline through published research will not only advance your career, but also add to the growing body of collective knowledge in your field. Embrace the challenges and rewards that come with the publication process, and may your research paper make a significant impact in your area of study!

Looking for inspiration for your next big paper? Head to Audemic , where you can organise and listen to all the best and latest research in your field!

Keep striving, researchers! ✨

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How to Write and Publish a Research Paper for a Peer-Reviewed Journal

• Open access
• Published: 30 April 2020
• Volume 36 , pages 909–913, ( 2021 )

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• Clara Busse   ORCID: orcid.org/0000-0002-0178-1000 1 &
• Ella August   ORCID: orcid.org/0000-0001-5151-1036 1 , 2  

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Communicating research findings is an essential step in the research process. Often, peer-reviewed journals are the forum for such communication, yet many researchers are never taught how to write a publishable scientific paper. In this article, we explain the basic structure of a scientific paper and describe the information that should be included in each section. We also identify common pitfalls for each section and recommend strategies to avoid them. Further, we give advice about target journal selection and authorship. In the online resource 1 , we provide an example of a high-quality scientific paper, with annotations identifying the elements we describe in this article.

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Introduction

Writing a scientific paper is an important component of the research process, yet researchers often receive little formal training in scientific writing. This is especially true in low-resource settings. In this article, we explain why choosing a target journal is important, give advice about authorship, provide a basic structure for writing each section of a scientific paper, and describe common pitfalls and recommendations for each section. In the online resource 1 , we also include an annotated journal article that identifies the key elements and writing approaches that we detail here. Before you begin your research, make sure you have ethical clearance from all relevant ethical review boards.

Select a Target Journal Early in the Writing Process

We recommend that you select a “target journal” early in the writing process; a “target journal” is the journal to which you plan to submit your paper. Each journal has a set of core readers and you should tailor your writing to this readership. For example, if you plan to submit a manuscript about vaping during pregnancy to a pregnancy-focused journal, you will need to explain what vaping is because readers of this journal may not have a background in this topic. However, if you were to submit that same article to a tobacco journal, you would not need to provide as much background information about vaping.

Information about a journal’s core readership can be found on its website, usually in a section called “About this journal” or something similar. For example, the Journal of Cancer Education presents such information on the “Aims and Scope” page of its website, which can be found here: https://www.springer.com/journal/13187/aims-and-scope .

Peer reviewer guidelines from your target journal are an additional resource that can help you tailor your writing to the journal and provide additional advice about crafting an effective article [ 1 ]. These are not always available, but it is worth a quick web search to find out.

Identify Author Roles Early in the Process

Early in the writing process, identify authors, determine the order of authors, and discuss the responsibilities of each author. Standard author responsibilities have been identified by The International Committee of Medical Journal Editors (ICMJE) [ 2 ]. To set clear expectations about each team member’s responsibilities and prevent errors in communication, we also suggest outlining more detailed roles, such as who will draft each section of the manuscript, write the abstract, submit the paper electronically, serve as corresponding author, and write the cover letter. It is best to formalize this agreement in writing after discussing it, circulating the document to the author team for approval. We suggest creating a title page on which all authors are listed in the agreed-upon order. It may be necessary to adjust authorship roles and order during the development of the paper. If a new author order is agreed upon, be sure to update the title page in the manuscript draft.

In the case where multiple papers will result from a single study, authors should discuss who will author each paper. Additionally, authors should agree on a deadline for each paper and the lead author should take responsibility for producing an initial draft by this deadline.

Structure of the Introduction Section

The introduction section should be approximately three to five paragraphs in length. Look at examples from your target journal to decide the appropriate length. This section should include the elements shown in Fig.  1 . Begin with a general context, narrowing to the specific focus of the paper. Include five main elements: why your research is important, what is already known about the topic, the “gap” or what is not yet known about the topic, why it is important to learn the new information that your research adds, and the specific research aim(s) that your paper addresses. Your research aim should address the gap you identified. Be sure to add enough background information to enable readers to understand your study. Table 1 provides common introduction section pitfalls and recommendations for addressing them.

The main elements of the introduction section of an original research article. Often, the elements overlap

Methods Section

The purpose of the methods section is twofold: to explain how the study was done in enough detail to enable its replication and to provide enough contextual detail to enable readers to understand and interpret the results. In general, the essential elements of a methods section are the following: a description of the setting and participants, the study design and timing, the recruitment and sampling, the data collection process, the dataset, the dependent and independent variables, the covariates, the analytic approach for each research objective, and the ethical approval. The hallmark of an exemplary methods section is the justification of why each method was used. Table 2 provides common methods section pitfalls and recommendations for addressing them.

Results Section

The focus of the results section should be associations, or lack thereof, rather than statistical tests. Two considerations should guide your writing here. First, the results should present answers to each part of the research aim. Second, return to the methods section to ensure that the analysis and variables for each result have been explained.

Begin the results section by describing the number of participants in the final sample and details such as the number who were approached to participate, the proportion who were eligible and who enrolled, and the number of participants who dropped out. The next part of the results should describe the participant characteristics. After that, you may organize your results by the aim or by putting the most exciting results first. Do not forget to report your non-significant associations. These are still findings.

Tables and figures capture the reader’s attention and efficiently communicate your main findings [ 3 ]. Each table and figure should have a clear message and should complement, rather than repeat, the text. Tables and figures should communicate all salient details necessary for a reader to understand the findings without consulting the text. Include information on comparisons and tests, as well as information about the sample and timing of the study in the title, legend, or in a footnote. Note that figures are often more visually interesting than tables, so if it is feasible to make a figure, make a figure. To avoid confusing the reader, either avoid abbreviations in tables and figures, or define them in a footnote. Note that there should not be citations in the results section and you should not interpret results here. Table 3 provides common results section pitfalls and recommendations for addressing them.

Discussion Section

Opposite the introduction section, the discussion should take the form of a right-side-up triangle beginning with interpretation of your results and moving to general implications (Fig.  2 ). This section typically begins with a restatement of the main findings, which can usually be accomplished with a few carefully-crafted sentences.

Major elements of the discussion section of an original research article. Often, the elements overlap

Next, interpret the meaning or explain the significance of your results, lifting the reader’s gaze from the study’s specific findings to more general applications. Then, compare these study findings with other research. Are these findings in agreement or disagreement with those from other studies? Does this study impart additional nuance to well-accepted theories? Situate your findings within the broader context of scientific literature, then explain the pathways or mechanisms that might give rise to, or explain, the results.

Journals vary in their approach to strengths and limitations sections: some are embedded paragraphs within the discussion section, while some mandate separate section headings. Keep in mind that every study has strengths and limitations. Candidly reporting yours helps readers to correctly interpret your research findings.

The next element of the discussion is a summary of the potential impacts and applications of the research. Should these results be used to optimally design an intervention? Does the work have implications for clinical protocols or public policy? These considerations will help the reader to further grasp the possible impacts of the presented work.

Finally, the discussion should conclude with specific suggestions for future work. Here, you have an opportunity to illuminate specific gaps in the literature that compel further study. Avoid the phrase “future research is necessary” because the recommendation is too general to be helpful to readers. Instead, provide substantive and specific recommendations for future studies. Table 4 provides common discussion section pitfalls and recommendations for addressing them.

Follow the Journal’s Author Guidelines

After you select a target journal, identify the journal’s author guidelines to guide the formatting of your manuscript and references. Author guidelines will often (but not always) include instructions for titles, cover letters, and other components of a manuscript submission. Read the guidelines carefully. If you do not follow the guidelines, your article will be sent back to you.

Finally, do not submit your paper to more than one journal at a time. Even if this is not explicitly stated in the author guidelines of your target journal, it is considered inappropriate and unprofessional.

Your title should invite readers to continue reading beyond the first page [ 4 , 5 ]. It should be informative and interesting. Consider describing the independent and dependent variables, the population and setting, the study design, the timing, and even the main result in your title. Because the focus of the paper can change as you write and revise, we recommend you wait until you have finished writing your paper before composing the title.

Be sure that the title is useful for potential readers searching for your topic. The keywords you select should complement those in your title to maximize the likelihood that a researcher will find your paper through a database search. Avoid using abbreviations in your title unless they are very well known, such as SNP, because it is more likely that someone will use a complete word rather than an abbreviation as a search term to help readers find your paper.

After you have written a complete draft, use the checklist (Fig. 3 ) below to guide your revisions and editing. Additional resources are available on writing the abstract and citing references [ 5 ]. When you feel that your work is ready, ask a trusted colleague or two to read the work and provide informal feedback. The box below provides a checklist that summarizes the key points offered in this article.

Checklist for manuscript quality

Data Availability

Michalek AM (2014) Down the rabbit hole…advice to reviewers. J Cancer Educ 29:4–5

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International Committee of Medical Journal Editors. Defining the role of authors and contributors: who is an author? http://www.icmje.org/recommendations/browse/roles-and-responsibilities/defining-the-role-of-authosrs-and-contributors.html . Accessed 15 January, 2020

Vetto JT (2014) Short and sweet: a short course on concise medical writing. J Cancer Educ 29(1):194–195

Brett M, Kording K (2017) Ten simple rules for structuring papers. PLoS ComputBiol. https://doi.org/10.1371/journal.pcbi.1005619

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Acknowledgments

Ella August is grateful to the Sustainable Sciences Institute for mentoring her in training researchers on writing and publishing their research.

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Busse, C., August, E. How to Write and Publish a Research Paper for a Peer-Reviewed Journal. J Canc Educ 36 , 909–913 (2021). https://doi.org/10.1007/s13187-020-01751-z

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How to Write and Publish a Research Paper for a Peer-Reviewed Journal

Clara busse.

1 Department of Maternal and Child Health, University of North Carolina Gillings School of Global Public Health, 135 Dauer Dr, 27599 Chapel Hill, NC USA

Ella August

2 Department of Epidemiology, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109-2029 USA

Associated Data

Communicating research findings is an essential step in the research process. Often, peer-reviewed journals are the forum for such communication, yet many researchers are never taught how to write a publishable scientific paper. In this article, we explain the basic structure of a scientific paper and describe the information that should be included in each section. We also identify common pitfalls for each section and recommend strategies to avoid them. Further, we give advice about target journal selection and authorship. In the online resource 1 , we provide an example of a high-quality scientific paper, with annotations identifying the elements we describe in this article.

Electronic supplementary material

The online version of this article (10.1007/s13187-020-01751-z) contains supplementary material, which is available to authorized users.

Introduction

Writing a scientific paper is an important component of the research process, yet researchers often receive little formal training in scientific writing. This is especially true in low-resource settings. In this article, we explain why choosing a target journal is important, give advice about authorship, provide a basic structure for writing each section of a scientific paper, and describe common pitfalls and recommendations for each section. In the online resource 1 , we also include an annotated journal article that identifies the key elements and writing approaches that we detail here. Before you begin your research, make sure you have ethical clearance from all relevant ethical review boards.

Select a Target Journal Early in the Writing Process

We recommend that you select a “target journal” early in the writing process; a “target journal” is the journal to which you plan to submit your paper. Each journal has a set of core readers and you should tailor your writing to this readership. For example, if you plan to submit a manuscript about vaping during pregnancy to a pregnancy-focused journal, you will need to explain what vaping is because readers of this journal may not have a background in this topic. However, if you were to submit that same article to a tobacco journal, you would not need to provide as much background information about vaping.

Information about a journal’s core readership can be found on its website, usually in a section called “About this journal” or something similar. For example, the Journal of Cancer Education presents such information on the “Aims and Scope” page of its website, which can be found here: https://www.springer.com/journal/13187/aims-and-scope .

Peer reviewer guidelines from your target journal are an additional resource that can help you tailor your writing to the journal and provide additional advice about crafting an effective article [ 1 ]. These are not always available, but it is worth a quick web search to find out.

Identify Author Roles Early in the Process

Early in the writing process, identify authors, determine the order of authors, and discuss the responsibilities of each author. Standard author responsibilities have been identified by The International Committee of Medical Journal Editors (ICMJE) [ 2 ]. To set clear expectations about each team member’s responsibilities and prevent errors in communication, we also suggest outlining more detailed roles, such as who will draft each section of the manuscript, write the abstract, submit the paper electronically, serve as corresponding author, and write the cover letter. It is best to formalize this agreement in writing after discussing it, circulating the document to the author team for approval. We suggest creating a title page on which all authors are listed in the agreed-upon order. It may be necessary to adjust authorship roles and order during the development of the paper. If a new author order is agreed upon, be sure to update the title page in the manuscript draft.

In the case where multiple papers will result from a single study, authors should discuss who will author each paper. Additionally, authors should agree on a deadline for each paper and the lead author should take responsibility for producing an initial draft by this deadline.

Structure of the Introduction Section

The introduction section should be approximately three to five paragraphs in length. Look at examples from your target journal to decide the appropriate length. This section should include the elements shown in Fig.  1 . Begin with a general context, narrowing to the specific focus of the paper. Include five main elements: why your research is important, what is already known about the topic, the “gap” or what is not yet known about the topic, why it is important to learn the new information that your research adds, and the specific research aim(s) that your paper addresses. Your research aim should address the gap you identified. Be sure to add enough background information to enable readers to understand your study. Table ​ Table1 1 provides common introduction section pitfalls and recommendations for addressing them.

The main elements of the introduction section of an original research article. Often, the elements overlap

Common introduction section pitfalls and recommendations

Methods Section

The purpose of the methods section is twofold: to explain how the study was done in enough detail to enable its replication and to provide enough contextual detail to enable readers to understand and interpret the results. In general, the essential elements of a methods section are the following: a description of the setting and participants, the study design and timing, the recruitment and sampling, the data collection process, the dataset, the dependent and independent variables, the covariates, the analytic approach for each research objective, and the ethical approval. The hallmark of an exemplary methods section is the justification of why each method was used. Table ​ Table2 2 provides common methods section pitfalls and recommendations for addressing them.

Common methods section pitfalls and recommendations

Results Section

The focus of the results section should be associations, or lack thereof, rather than statistical tests. Two considerations should guide your writing here. First, the results should present answers to each part of the research aim. Second, return to the methods section to ensure that the analysis and variables for each result have been explained.

Begin the results section by describing the number of participants in the final sample and details such as the number who were approached to participate, the proportion who were eligible and who enrolled, and the number of participants who dropped out. The next part of the results should describe the participant characteristics. After that, you may organize your results by the aim or by putting the most exciting results first. Do not forget to report your non-significant associations. These are still findings.

Tables and figures capture the reader’s attention and efficiently communicate your main findings [ 3 ]. Each table and figure should have a clear message and should complement, rather than repeat, the text. Tables and figures should communicate all salient details necessary for a reader to understand the findings without consulting the text. Include information on comparisons and tests, as well as information about the sample and timing of the study in the title, legend, or in a footnote. Note that figures are often more visually interesting than tables, so if it is feasible to make a figure, make a figure. To avoid confusing the reader, either avoid abbreviations in tables and figures, or define them in a footnote. Note that there should not be citations in the results section and you should not interpret results here. Table ​ Table3 3 provides common results section pitfalls and recommendations for addressing them.

Common results section pitfalls and recommendations

Discussion Section

Opposite the introduction section, the discussion should take the form of a right-side-up triangle beginning with interpretation of your results and moving to general implications (Fig.  2 ). This section typically begins with a restatement of the main findings, which can usually be accomplished with a few carefully-crafted sentences.

Major elements of the discussion section of an original research article. Often, the elements overlap

Next, interpret the meaning or explain the significance of your results, lifting the reader’s gaze from the study’s specific findings to more general applications. Then, compare these study findings with other research. Are these findings in agreement or disagreement with those from other studies? Does this study impart additional nuance to well-accepted theories? Situate your findings within the broader context of scientific literature, then explain the pathways or mechanisms that might give rise to, or explain, the results.

Journals vary in their approach to strengths and limitations sections: some are embedded paragraphs within the discussion section, while some mandate separate section headings. Keep in mind that every study has strengths and limitations. Candidly reporting yours helps readers to correctly interpret your research findings.

The next element of the discussion is a summary of the potential impacts and applications of the research. Should these results be used to optimally design an intervention? Does the work have implications for clinical protocols or public policy? These considerations will help the reader to further grasp the possible impacts of the presented work.

Finally, the discussion should conclude with specific suggestions for future work. Here, you have an opportunity to illuminate specific gaps in the literature that compel further study. Avoid the phrase “future research is necessary” because the recommendation is too general to be helpful to readers. Instead, provide substantive and specific recommendations for future studies. Table ​ Table4 4 provides common discussion section pitfalls and recommendations for addressing them.

Common discussion section pitfalls and recommendations

Follow the Journal’s Author Guidelines

After you select a target journal, identify the journal’s author guidelines to guide the formatting of your manuscript and references. Author guidelines will often (but not always) include instructions for titles, cover letters, and other components of a manuscript submission. Read the guidelines carefully. If you do not follow the guidelines, your article will be sent back to you.

Finally, do not submit your paper to more than one journal at a time. Even if this is not explicitly stated in the author guidelines of your target journal, it is considered inappropriate and unprofessional.

Your title should invite readers to continue reading beyond the first page [ 4 , 5 ]. It should be informative and interesting. Consider describing the independent and dependent variables, the population and setting, the study design, the timing, and even the main result in your title. Because the focus of the paper can change as you write and revise, we recommend you wait until you have finished writing your paper before composing the title.

Be sure that the title is useful for potential readers searching for your topic. The keywords you select should complement those in your title to maximize the likelihood that a researcher will find your paper through a database search. Avoid using abbreviations in your title unless they are very well known, such as SNP, because it is more likely that someone will use a complete word rather than an abbreviation as a search term to help readers find your paper.

After you have written a complete draft, use the checklist (Fig. ​ (Fig.3) 3 ) below to guide your revisions and editing. Additional resources are available on writing the abstract and citing references [ 5 ]. When you feel that your work is ready, ask a trusted colleague or two to read the work and provide informal feedback. The box below provides a checklist that summarizes the key points offered in this article.

Checklist for manuscript quality

(PDF 362 kb)

Acknowledgments

Ella August is grateful to the Sustainable Sciences Institute for mentoring her in training researchers on writing and publishing their research.

Code Availability

Not applicable.

Data Availability

Compliance with ethical standards.

The authors declare that they have no conflict of interest.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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The Complete Guide to Publishing Research Papers

If you are a scientist with an idea for a research paper, there’s one thing you need to know – how to publish your research. It’s not a secret that research papers don’t always get the recognition they deserve. That doesn’t mean you should stop publishing them though, because it might just be your ticket to getting published in respected journals in the future.

Getting a paper published is actually easier than you might think. There are many outlets available that accept and publish research papers, from online journals to obscure little magazines. But, if you want to understand the process of publishing research papers in order to get your foot in the door with other publications, here’s a guide to help you understand the process and how to prepare for an impactful research paper.

What is an Academic Research Paper?

Academic research papers are highly structured, formal academic assignments. They usually focus on an academic field or briefly explore a concept. The importance of these assignments is that you need to present your thoughts, findings, and conclusions in the most effective way possible. In other words, the academic research paper is a written document outlining the thesis and methods of study, followed by a discussion of the findings. The purpose of an academic research paper is to share your thoughts with other academics rather than as an introduction for potential readers.

The outline for an academic research paper should be very specific and detailed in order to establish the most relevant points from which you can develop your argument and make your case. The structure of your paper is extremely important because it provides the foundation for everything else that follows in the body of your work. Both the exact structure as well as the general strategy of your paper need to be clearly outlined and understood.

Types of Research Papers

There are many different types of academic research papers. Some common types are literature reviews, journal articles, book reviews, and reports. There are also many variations within these categories, such as qualitative and quantitative research methods and experimental and theoretical approaches. There are many different ways to go about researching a particular topic, so one should consider the method of research that will work best for them as well as their own personal style.

How to Write an Academic Research Paper?

To write an academic research paper is to understand the process. The first step is to pick a topic you are passionate about and provide enough material for a paper.

Next, you need to do your research. This includes talking to people who have expertise on the topic, reading many different materials, conducting interviews with experts, finding relevant literature from the library, and performing in-depth analysis of your findings. Lastly, find an academic journal that is willing to publish your work. Here’s a more detailed guide for writing a research paper

How to Format your Academic Research Paper?

Academic research papers must have an introduction and conclusion. The introduction should state the paper’s purpose and define what the paper is about. It should also include a discussion of how you will use your sources to reach your goal. The conclusion should sum up your thoughts on the topic while offering some advice or reflection on the work done in the paper. Once your reader understands your topic, they can decide if they want to continue reading.

What Defines a Research Paper Publisher?

Academic research paper publishers are companies that help academic researchers publish their work. These companies review, edit, and submit an article to the appropriate journal. These companies charge a fee for their services. Academic research paper publishers have been around for a long time but have recently grown in popularity because of the rising cost of publishing academic articles themselves.

Difference between Scientific Journals and Academic Research Publishers

Journals provide the publishing outlet for academic research papers. Journals are scholarly publications that are made specifically to release information on any subject. It is a periodical that focuses on a specific topic. The journal’s focus may be a particular subject, or it may be geographic. Some journals are monthly, weekly or quarterly, and some are published once only. Check out the Top 10 Scientific Journals

A growing number of publishing companies help academics publish journals and other academic papers. Publishing companies act as a middleman between the researcher and the journal, using their publication expertise to offer high-quality academic research papers for sale. Some companies might also provide editing services to help ensure the paper is in tip-top shape before it gets published.

The number of pages can differentiate publishing companies and journals. Publishing companies publish books, articles, or journal issues, while journals have between 10-20 pages of content and are therefore easier to read.

There are also a number of publishing companies that have journals in which they publish papers. Journals publish papers that are peer reviewed and provide a platform for students, academics, and researchers to share their findings with the world. These journals allow authors to have anonymity if they wish and give them the opportunity to choose when and where their work is published.

What are the Benefits of Publishing your Research Papers in Academic Journals?

Typically, publishing your research papers in academic journals is a great way to get it out into the public. You are also able to see where your article is being read and what kind of feedback you are receiving. Some companies pay for articles to be published and some will only charge a small publishing fee. Regardless, this is a good option for anyone looking to publish their research papers.

These journals have rigorous reviewers who will help you improve your work. They also monitor the number of citations your article receives, which shows how well the scientific community accepts it. In addition to these benefits, there are companies that assist in publishing your research paper. Some of these companies include ScholarOne, Researchgate, and PeerJ.

One benefit of publishing your research in academic journals is that it helps to improve your reputation as an expert. This can help you get better-paying jobs and allow you to gain more credibility with people who might be interested in what you have to offer. The other benefit is that the journals are a great source of information for advancement opportunities. Many universities will use these journals to find the best researchers in their field and help them advance their careers.

Academic research paper publishers can grant authors publishing rights. This is a service that academic journals often provide to the authors of their articles, but they don’t have time to do it themselves. Academic research paper publishers also offer a variety of services and tools for the author such as editing, design, layout, submission, and marketing. In general, academic researchers can save more time by using an academic research paper publisher.

Disadvantages of Publishing with Academic Research Paper Publishers

First of all, many publishers don’t have editors or reviewers for the papers that they publish. This could lead to plagiarism, which is when a writer uses another writer’s words without giving credit.

In addition, academic research paper publishers often charge a lot of money for their services, which can be prohibitive for some researchers who need paper copies and/or distribution. Even if a researcher doesn’t have to pay for it themselves, they may still need to pay an editor or publisher. The journal or publisher may also charge extra for the use of any company or product brand.

Another disadvantage is that the author will typically not get paid for their work when published by an academic research paper. Another drawback is that it can take a long time to publish and manage these scholarly works, making the process seem unnecessary and too drawn out.

The most significant disadvantage is the lack of control over the publication process and quality.

What to Look for in an Academic Publisher?

Academic researchers have to answer a lot of questions before they can publish their work in a journal. If the researcher is unsure on how to do this, they should look into academic publishers that will help them out.

The first thing to consider is the type of paper the researcher wants to publish. This can be done by reading the publication policy or contacting the publisher.

Another thing to consider is if the price of publishing with the company is worth it. A company that charges too much may not be worth it because it will take away from funds that could be spent on research equipment or students who are conducting research with the researcher’s expertise.

Top Academic Research Paper Publishers

Online publishing has been an invaluable resource for scholars. By using the internet to publish their research, they can reach a wider audience of non-traditional audiences and build upon their findings and improve their research methods. This article outlines 9 exemplary publishers in the academic world that focus on delivering quality work to their customers.

1. Sage Publications

Sage Publications is a top academic research paper publisher, and it offers a variety of different services for publishing your research. You can find articles from Sage in refereed journals and magazines, such as the Journal of Experimental Social Psychology, The International Journal of Human-Computer Interaction, Advances in Computer Games Research, and the journal Society & Organization Review. All submissions are peer-reviewed, meaning that the company is able to offer rigorous quality control.

2. Taylor & Francis

Taylor produces high-quality academic paper draft services. With a team of experts, they produce customized papers that meet the guidelines of your specific assignment.

3. Elsevier Science

Elsevier Science is a top academic publisher that publishes thousands of scientific research papers. They also have a number of other services such as online databases, journals and books. Elsevier Science has a total of 25,000 publications with an annual revenue of $4.1 billion.

4. Nature Publishing Group

Nature Publishing Group is a company that publishes scientific research in journals, magazines, and books. They have been producing high-quality peer-reviewed academic journals for over 40 years.

5. Springer Nature

Springer Nature is a top academic publishing company with headquarters in London, England. It was founded in 1880 and has been publishing scientific research papers for over 100 years. The company publishes more than 2,000 journals and newsletters. Springer Nature also owns many other companies including Springer Science+Business Media, Springer Consultants, and Springer OpenText.

6. Emerald Publishing Limited

Emerald Publishing Limited is a UK-based company that helps academic researchers with the publishing process. It provides a platform for authors that allows them to publish their work in more than 300 academic journals and access more than 250,000 potential readers/reviewers.

7. American Psychological Association and American Sociological Association

The APA and ASA are two of the most important academic publishers. These two publishers have been around since the early 1900s and serve as a great source for hundreds of academic papers.

How Much does it Cost to Publish an Article with Top Academic Publishers?

There are a number of companies that can help you publish articles with academic publishers. Some companies charge a flat rate to publish your work, while others charge by the article. Some companies advertise their service as “free” because they don’t expect you to pay anything upfront and then take anywhere from 22-75 percent of the profits when your article is sold.

Other companies charge different rates depending on what type of publication you’re looking to get published. For example, if you’re looking to publish in a national magazine or newspaper, the cost will be higher than if you’re looking to publish in a journal that has a smaller circulation.

Many academic research papers are published by top academic publishers, such as the American Association for the Advancement of Science and Nature. These journals require that authors pay a publication fee to submit their article, depending on what format they wish to have it published. For example, a paper published in grey-scale (black & white) will be $1,500 and color (full color) will be $2,000. Additionally, these journals often require authors to pay for editing services and retractions when mistakes occur.

No matter which type of publishing service you’re looking for, get your articles edited by someone who has experience in what you want to do. If the company or editor has no experience with the type of subject you’re writing about, they may not know how to write it properly or format it properly. You will also want to ask if they have an online proofreading tool. Websites such as Readable or Wordcrafter can help you proofread and edit any type of document online.

Don’t just go look up all the writing services in your area and pick the one with the lowest prices. You have to compare prices, but the quality is what you want to find. You can hire anyone’s services for a month, but even if they’re inexpensive, it may not be worth it in the end. It’s better to use a company that will give you more than what you pay for. If they don’t live up to your standards, you can always switch to another company.

Tips for Getting Published in a Research Journal

There are a lot of research journals that can be found on different websites. To get your work published, you will need to find the journal that best suits your needs and submit an application for publication. You can also reach out to individual publishers who specialize in academic publishing or even ask your professor if they have any recommendations.

They make sure that the work is of high quality and will put it into a format that the journal will accept. More importantly, they can give advice on the best way to present the research without compromising scientific integrity.

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How to Publish a Research Paper: A Step-by-Step Guide

How to Publish a Research Paper

Publishing a research paper or getting it published in an academic journal can be one of the most fulfilling accomplishments in your academic career. You’ve spent countless hours learning, researching, thinking and writing, and now you get to share your knowledge with others who share your interests and passion for research. This guide on how to publish a research paper will help you choose the best journal for publishing your work, what information to include in your manuscript and how to format it correctly and more!

Choose your topic

For many scientists, the goal of their research is publication. Every published paper not only contributes to the body of knowledge in a particular field, but also gives credit and recognition for individual accomplishment. Publishing can be an arduous process, however; take this step-by-step guide to help you get started.

Conduct your Literature Review

Find articles from reputable journals and use them to conduct your literature review. To start, you can conduct an academic search in Google Scholar , read the abstracts, and include these articles in your list of sources. Make sure that all the papers are on an appropriate scholarly level (peer reviewed, etc.) and published within 5 years of when you write your paper. Once you have compiled this list of academic sources, it is time to move on the steps.

Write your Introduction

In the introduction, you’ll summarize the paper’s content and specify its goals. After, you’ll establish a clear research question or problem that your research will try to answer. With this all done, you’ll introduce who your target audience is and outline how your findings will affect them. In short, the introduction must tell people what they’re getting themselves into.

Write your Methodology section

I will use the grading scale as an example of how to write a formal methodology section. I have been using this system in all my research writing classes, and it has been accepted by both instructors and readers. As such, I feel confident in saying that it is both efficient and effective. The steps are as follows: To begin, place the question or problem statement in brackets at the top of the page. For instance:

Write your Results section

1.Sit down and think about your research project from beginning to end; ask yourself, What are the major findings? What are my key messages? Once you have answered these questions, it is important to think about how the audience of your paper will react. Will they understand what you’re trying to say or explain? If not, can you simplify it?

2. It is a good idea to start by outlining your ideas in points and then reordering them into an outline that flows in sequential order.

3. This next step is one of the most crucial: having someone who understands English grammar and has excellent writing skills read over your paper for errors before submitting it for publishing.

Write your Discussion section

After thinking about the purpose of your research and reading related papers, formulate an original research question. Make sure your question is clear and has a single answer with some way to measure it, otherwise your results will be ambiguous. Once you have developed the best research question, start writing out how you are going to answer it by outlining what you need. Next, follow these steps when starting on your experimental procedures:

1. set up necessary materials and equipment;

2. construct study setup;

3. collect data; and finally

4. analyze data.

Be sure not to rush this process because you want everything in place before getting into the analysis step so that you can quickly find any errors or mistakes if they exist.

Write your Conclusion and Recommendations

In conclusion, I recommend that you write your introduction at the end of the paper. Then, work on the methods and results sections and finally the discussion section. Once you finish with those three sections, then write your introduction. I also recommend using reference materials like an index card and your computer during the process of writing. Remember that publishing a research paper can be fun and rewarding!

Get References from Sources

A lot of people ask me how to publish a research paper. Fortunately, this is pretty easy these days if you know where to start. Here’s how it works. You need your references from sources, of course. These should be from respected and reliable sources (e.g., journals with peer review) that are relevant for your topic area. Your reviewers may require them for approval purposes and/or help evaluating the quality of your research. You’ll want at least five good references – more is better, but not all papers need more than five good references, especially those on popular topics in academic circles or within a specific discipline.

Start Writing

The first step is coming up with a research question.

Hi, How can I help you?

High School Guide: How to Publish a Research Paper in 5 Easy Steps

Indigo Research Team

We understand how overwhelming the idea of publishing research as a high schooler may seem. It’s true, that the process of submitting and publishing a paper can be very complex and daunting. It needs a lot of preparation and perseverance.

However, publishing research increasingly becomes the " gold " that a college Admission Officer is looking for. Publication in leading journals, like Concord Review, or International Journal for High School Students can showcase your ability and determination to a college admission officer when you apply for college.

Although it seems complicated, worry not! We’ll simplify the steps for you.

‍ This article will break down 5 steps on how to publish a research paper.

1. Find the Right Mentor for Your Research Purposes

Can you write a research paper on your own? Yes, you can. But, it would be extremely difficult. Finding the perfect mentor is key to having a smooth ride. As an aspiring high school student, you'll want guidance from someone who shares your intellectual interests and can offer expertise in your field of study. Mentors can also help you find information about publishing research as well as where to publish a research paper.

“If you cannot see where you are going, find someone who has been there before.” - J.L. Norris

To find a mentor, first , you need to reflect on your goals and needs. Ask yourself these questions:

• Do you want help developing research questions? • Feedback on a draft? • Opportunities to co-author a paper?

Defining what you hope to gain from mentorship will help determine who may be the best fit.

‍ Secondly, once you know (in general) who you want to work with, you can start your search by browsing the faculty profiles on your school’s website or research database like academia.edu or you can also utilize social media platforms like LinkedIn. Look for professors with expertise in your areas of interest. 

It’s important to reach out in the right manner for them to notice you. Remember, you are the one who needs their help and not the other way around. Therefore, the way you reach out online is very crucial to get their attention. Keep in mind that you should do thorough research about this person before sending a message. Here’s an example of a short template message you can use for initial communication on LinkedIn:

Dear Professor [Last Name],

I'm [Your Name], a high school student passionate about [Your Research Interest]. Impressed by your work in [Their Field]. I'm very intrigued by your argumentation about [Topic]. I’m looking for a mentorship for a project I'm planning. Your guidance would be invaluable. Could we discuss this possibility

Looking forward to hearing from you. Best,

[Your Name] ‍

Third, if you still can’t find an available mentor, you should also expose yourself to new ideas by attending guest lectures, joining online forums, and reading publications in your field. You can also find mentors who have published research papers that you are interested in. Engage with the material by asking questions. This demonstrates your passion for learning and can lead to finding a mentor.

While finding a mentor can be a bit of a hassle, you can check out our mentors and find the mentor of your preferences. After you have found your mentor, you can start doing the second step.

2. Choose an Exciting Research Topic That Interests You

Choosing topics that you are deeply passionate about or interested in is the key to keeping you motivated until the end of the research. 

Discover Your Passions or Interests

There are many passion project ideas that you can explore. But you can always start by asking:

• What do you love to read about or discuss with friends?  • Are there any social issues you care deeply about?  • What are the topics related to your hobbies, favorite books or movies, sports teams, and travel destinations? • Or do you like more of the popular subjects in your school like biology, chemistry, computer science, psychology, or genetics? Look for topics that spark your curiosity or creativity.

Find an Opportunity Gap

Review what research has already been done on topics that interest you. Look for areas that could use more exploration or that you could investigate further. Think about new angles, questions, or perspectives you might bring to the subject. Finding an unexplored niche in a broader topic area can lead to an exciting, original research paper.

Talk to Your Mentor

Discuss ideas with your mentor, especially if you have an area of study in mind but need guidance narrowing down to a specific, manageable research question. Your mentor may be able to suggest topics that would work well for a research paper and align with standards or curriculum. They can also help determine if a topic idea is too broad or narrow, or if resources will be readily available.

Application of the Research in Reality

Choose a topic that could have real-world implications or applications. How can your research paper help real-world problems?

Think about local issues in your community or school that could be addressed or improved through research. Papers investigating practical solutions or the effectiveness of policies, programs, or interventions tend to be very compelling.

3. Choose the Right Journal or Conference to Publish Your Research Paper

“Where can I publish my research paper?” ‍

You can publish your research paper through respectable journals, conferences, or research paper competitions. It's important to have a goal in mind before starting any research paper. Determining this in the beginning might help you to stay on course and motivated. 

Consider the Scope of the Selected Journals

Decide the scope then look for publications that focus on your area of study or research topic. Are you looking to publish a research paper in an international journal? Or are you aiming for more local journals? 

Double-check that the journal accepts submissions from high school students and check their reputation. Aim high, but be realistic. See if any professors or mentors can recommend appropriate platforms. Review the editorial board and see if top researchers in your field are involved.

Examples of the journals that can publish your research paper as a high schooler include:

• Concord Review  
• The National High School Journal of Science
• STEM Fellowship Journal
• Journal of Student Research
• Journal of High School Science (JHSS)
• International Journal of High School Research (IJHSR)

“Where can I publish my research paper for free?” ‍

Here are some journals where you can submit your research paper for free, but be aware some of them require a publication fee:

• Journal of Emerging Investigators (JEI)
• Young Scientist Journal
• Youth Medical Journal
• Journal Research High School
• Hope Humanities Journal
• International Youth Neuroscience Association Journal
• Whitman Journal of Psychology

Review Submission Guidelines

Once you’ve set your mind and chosen your goal, carefully read and follow the instructions for authors. Pay attention to formatting, abstract length, images, and anything else specified. Following the guidelines shows you understand publishing norms in your field.

4. Conduct Thorough Research, Write and Format Your Research Paper Properly

Now that you have selected a topic and compiled sources, it's time to dive into your research and start writing. Publishing a research paper in a journal requires thorough research and a properly formatted paper.

• Analyze and read all of your resources and take notes on the key ideas, facts, questions, examples, data, quotes, and arguments that might be relevant to your research project. Keep it organized into an outline.
• Determine your research question and consult with your mentor. Once you begin drafting your paper, be sure to paraphrase, summarize, and quote the right citation.  ‍
• Carefully proofread and format your paper. Double-check for any spelling, grammar, or punctuation errors. Ensure your paper follows the recommended style guide for font type and size, spacing, margins, page numbers, headings, and image captions. ‍

Of course, writing a research paper is not as easy. If you need guidance, you can also try to join research programs that will allow you to finish the research paper easier.

5. Review Before Submitting Your Research Paper and Respond to Feedback

Once your paper is complete, it's time to share your work with the world.

Review Your Research Paper

Before making this incredible step, review your research paper once again. Have a teacher or mentor check your paper to ensure it meets the journal's standards. Put together a cover letter introducing yourself and your research. Explain the importance of your work and most importantly, why they need to publish your work.

Anticipate Feedback

Even after submitting, your work isn't done. Journals will send your paper out for peer review by experts in the field. Reviewers may suggest changes to strengthen your paper before it can be accepted. Don't get discouraged—even professional researchers incorporate feedback! Address each comment thoroughly and openly. Making revisions will improve your paper and help you become a better writer and researcher.

How Long Does it Take to Publish a Research Paper?

In general, the publication process can take several months to a year or more from the initial submission to final publication. It depends on the institutions and the availability of the peer reviewers. If your paper is accepted for publication, congratulations! If not, use the experience as an opportunity to improve. Carefully consider the feedback and see it as a chance to strengthen your methods, arguments, and writing. Don't hesitate to submit to another journal or work with your mentor to revise and resubmit.

That’s it! Congratulations on finishing all the steps!

Whether or not you get published, finishing the research paper is an achievement in itself. We hope that this article on how to publish a research paper will help you to get your research paper published. Remember that persistence, attention to detail, and a clear understanding of your target journal's guidelines are key. Stay determined and keep researching. You got this!

Need more guidance to do your research paper and most importantly, publish your paper? Don't worry, we've got you! At Indigo Research, we connect you with leading professors from renowned universities who are eager to mentor you and support you in publishing your research!

Click to discover more about how we can help!

Where to Publish Your Research

• Will my article appear in PubMed?
• Email Solicitations
• Open Access Options at the TMC Library
• TMC Digital Commons

Suggested Steps

• Use one or more tools (e.g. Jane or Browzine) to generate a list of potential publication targets.
• Compare your target journals in Journal Citation Reports, considering factors such as rejection rate, publication turnaround time, and impact factor.
• Consult each journal's website to ensure it publishes the type of article you've written and your submission fits the Aims & Scope.
• Create a final ranked list of submission targets. Ideally, you want 4-5 options on your list.
• Determine whether any of your chosen journals is a  questionable journal (predatory journal)
• Determine whether your journal is  indexed for MEDLINE

Related TMC Library Guides

• Scholarly Publishing Support at the TMC Library
• TMC Library Digital Commons

Other Useful Guides

• Navigating the Article Publication Process Guide by OSU Research Commons Here you will find useful information about the entirety of scholarly publishing.

Identifying journal options is a good idea prior to writing an article to save time and effort. Journals are so numerous, it can be hard to know what all the options are. Thankfully, there are tools that can assist you.

Web of Science offers an "Analyze Results" option to help identify journals from a topic search. To use this tool, perform a topic search (see  Web of Science searching guide ), then click on Analyze Results on the upper right hand part of the search screen. From there, choose Publication Titles from the drop down menu. The most common journals in the results will be listed.

Browzine Browzine includes peer-reviewed journals across multiple disciplines. Use the navigation options to find journals in your specific field or search by subject.

JANE is a tool that mines text placed in the search box to find journals on the topic. Simply place your abstract or another piece of text into the search box, and the tool does the work for you. More information is available on their FAQ page at  http://jane.biosemantics.org/faq.php .

Links to the instructions for authors' pages of more than 6000 health and life sciences journals. This site is maintained by staff at The University of Toledo's Mulford Health Sciences Library.

Vanderbilt University Medical Center SPI-Hub Scholarly publishing information hub. Search for journals that publish articles in your area of interest.

JournalGuide Free journal selection guide. Covers all academic fields, but very strong in biomedicine science.

EndNote Manuscript Matcher If you're using EndNote version 20 or above, use the Manuscript Matcher to find prospective journals.

Publisher-based Journal Finders

• Elsevier Journal Finder
• Springer Journal Suggester
• Taylor & Francis Journal Suggester
• Wiley Editing Services (fee-based)

Compare Journals and their Competitive Factors

Characteristics of journals can be compared quantifiably.  Factors such as the number of citations, number of documents published, and total references in the journal can be used to calculate scores for the journals. 

• Journal Citation Reports Journal Citation Reports  is a subscription resource that can be used to compare journals' characteristics including Journal Impact Factor, Article Influence Score, and Total Cites.  Learn more about Journal Citation Reports    
• SCImago Journal and Country Rank SCImago is a free resource that uses citation data from Scopus to provide journal impact data.  It provides journal rankings by journal country of origin and numerous visual representations of journal impact data. Learn more about SCImago  
• Google Scholar Metrics Google Scholar Metrics provide an easy way for authors to quickly gauge the visibility and influence of recent articles in scholarly publications. Scholar Metrics summarize recent citations to many publications, to help authors as they consider where to publish their new research. Select a subcategory in Health and Medicine to rank journals in your field  
• DOAJ (Directory of Open Access Journals) DOAJ  is a directory that indexes and provides access to high quality, open access, peer-reviewed journals. Open access journals from all countries and in all languages can apply for inclusion. DOAJ provides information such as publication fees and author copyrights. You can use the filters on the left-side of the page to limit to subject categories.  Learn more about DOAJ , and the  DOAJ Seal .
• Next: Will my article appear in PubMed? >>
• Last Updated: Apr 19, 2024 1:16 PM
• URL: https://libguides.library.tmc.edu/wheretopublish

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• Open access
• Published: 17 April 2024

The economic commitment of climate change

• Maximilian Kotz   ORCID: orcid.org/0000-0003-2564-5043 1 , 2 ,
• Anders Levermann   ORCID: orcid.org/0000-0003-4432-4704 1 , 2 &
• Leonie Wenz   ORCID: orcid.org/0000-0002-8500-1568 1 , 3  

Nature volume  628 ,  pages 551–557 ( 2024 ) Cite this article

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Metrics details

• Environmental economics
• Environmental health
• Interdisciplinary studies
• Projection and prediction

Global projections of macroeconomic climate-change damages typically consider impacts from average annual and national temperatures over long time horizons 1 , 2 , 3 , 4 , 5 , 6 . Here we use recent empirical findings from more than 1,600 regions worldwide over the past 40 years to project sub-national damages from temperature and precipitation, including daily variability and extremes 7 , 8 . Using an empirical approach that provides a robust lower bound on the persistence of impacts on economic growth, we find that the world economy is committed to an income reduction of 19% within the next 26 years independent of future emission choices (relative to a baseline without climate impacts, likely range of 11–29% accounting for physical climate and empirical uncertainty). These damages already outweigh the mitigation costs required to limit global warming to 2 °C by sixfold over this near-term time frame and thereafter diverge strongly dependent on emission choices. Committed damages arise predominantly through changes in average temperature, but accounting for further climatic components raises estimates by approximately 50% and leads to stronger regional heterogeneity. Committed losses are projected for all regions except those at very high latitudes, at which reductions in temperature variability bring benefits. The largest losses are committed at lower latitudes in regions with lower cumulative historical emissions and lower present-day income.

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Paul Waidelich, Fulden Batibeniz, … Sonia I. Seneviratne

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Sven N. Willner, Nicole Glanemann & Anders Levermann

Climate economics support for the UN climate targets

Martin C. Hänsel, Moritz A. Drupp, … Thomas Sterner

Projections of the macroeconomic damage caused by future climate change are crucial to informing public and policy debates about adaptation, mitigation and climate justice. On the one hand, adaptation against climate impacts must be justified and planned on the basis of an understanding of their future magnitude and spatial distribution 9 . This is also of importance in the context of climate justice 10 , as well as to key societal actors, including governments, central banks and private businesses, which increasingly require the inclusion of climate risks in their macroeconomic forecasts to aid adaptive decision-making 11 , 12 . On the other hand, climate mitigation policy such as the Paris Climate Agreement is often evaluated by balancing the costs of its implementation against the benefits of avoiding projected physical damages. This evaluation occurs both formally through cost–benefit analyses 1 , 4 , 5 , 6 , as well as informally through public perception of mitigation and damage costs 13 .

Projections of future damages meet challenges when informing these debates, in particular the human biases relating to uncertainty and remoteness that are raised by long-term perspectives 14 . Here we aim to overcome such challenges by assessing the extent of economic damages from climate change to which the world is already committed by historical emissions and socio-economic inertia (the range of future emission scenarios that are considered socio-economically plausible 15 ). Such a focus on the near term limits the large uncertainties about diverging future emission trajectories, the resulting long-term climate response and the validity of applying historically observed climate–economic relations over long timescales during which socio-technical conditions may change considerably. As such, this focus aims to simplify the communication and maximize the credibility of projected economic damages from future climate change.

In projecting the future economic damages from climate change, we make use of recent advances in climate econometrics that provide evidence for impacts on sub-national economic growth from numerous components of the distribution of daily temperature and precipitation 3 , 7 , 8 . Using fixed-effects panel regression models to control for potential confounders, these studies exploit within-region variation in local temperature and precipitation in a panel of more than 1,600 regions worldwide, comprising climate and income data over the past 40 years, to identify the plausibly causal effects of changes in several climate variables on economic productivity 16 , 17 . Specifically, macroeconomic impacts have been identified from changing daily temperature variability, total annual precipitation, the annual number of wet days and extreme daily rainfall that occur in addition to those already identified from changing average temperature 2 , 3 , 18 . Moreover, regional heterogeneity in these effects based on the prevailing local climatic conditions has been found using interactions terms. The selection of these climate variables follows micro-level evidence for mechanisms related to the impacts of average temperatures on labour and agricultural productivity 2 , of temperature variability on agricultural productivity and health 7 , as well as of precipitation on agricultural productivity, labour outcomes and flood damages 8 (see Extended Data Table 1 for an overview, including more detailed references). References  7 , 8 contain a more detailed motivation for the use of these particular climate variables and provide extensive empirical tests about the robustness and nature of their effects on economic output, which are summarized in Methods . By accounting for these extra climatic variables at the sub-national level, we aim for a more comprehensive description of climate impacts with greater detail across both time and space.

Constraining the persistence of impacts

A key determinant and source of discrepancy in estimates of the magnitude of future climate damages is the extent to which the impact of a climate variable on economic growth rates persists. The two extreme cases in which these impacts persist indefinitely or only instantaneously are commonly referred to as growth or level effects 19 , 20 (see Methods section ‘Empirical model specification: fixed-effects distributed lag models’ for mathematical definitions). Recent work shows that future damages from climate change depend strongly on whether growth or level effects are assumed 20 . Following refs.  2 , 18 , we provide constraints on this persistence by using distributed lag models to test the significance of delayed effects separately for each climate variable. Notably, and in contrast to refs.  2 , 18 , we use climate variables in their first-differenced form following ref.  3 , implying a dependence of the growth rate on a change in climate variables. This choice means that a baseline specification without any lags constitutes a model prior of purely level effects, in which a permanent change in the climate has only an instantaneous effect on the growth rate 3 , 19 , 21 . By including lags, one can then test whether any effects may persist further. This is in contrast to the specification used by refs.  2 , 18 , in which climate variables are used without taking the first difference, implying a dependence of the growth rate on the level of climate variables. In this alternative case, the baseline specification without any lags constitutes a model prior of pure growth effects, in which a change in climate has an infinitely persistent effect on the growth rate. Consequently, including further lags in this alternative case tests whether the initial growth impact is recovered 18 , 19 , 21 . Both of these specifications suffer from the limiting possibility that, if too few lags are included, one might falsely accept the model prior. The limitations of including a very large number of lags, including loss of data and increasing statistical uncertainty with an increasing number of parameters, mean that such a possibility is likely. By choosing a specification in which the model prior is one of level effects, our approach is therefore conservative by design, avoiding assumptions of infinite persistence of climate impacts on growth and instead providing a lower bound on this persistence based on what is observable empirically (see Methods section ‘Empirical model specification: fixed-effects distributed lag models’ for further exposition of this framework). The conservative nature of such a choice is probably the reason that ref.  19 finds much greater consistency between the impacts projected by models that use the first difference of climate variables, as opposed to their levels.

We begin our empirical analysis of the persistence of climate impacts on growth using ten lags of the first-differenced climate variables in fixed-effects distributed lag models. We detect substantial effects on economic growth at time lags of up to approximately 8–10 years for the temperature terms and up to approximately 4 years for the precipitation terms (Extended Data Fig. 1 and Extended Data Table 2 ). Furthermore, evaluation by means of information criteria indicates that the inclusion of all five climate variables and the use of these numbers of lags provide a preferable trade-off between best-fitting the data and including further terms that could cause overfitting, in comparison with model specifications excluding climate variables or including more or fewer lags (Extended Data Fig. 3 , Supplementary Methods Section  1 and Supplementary Table 1 ). We therefore remove statistically insignificant terms at later lags (Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ). Further tests using Monte Carlo simulations demonstrate that the empirical models are robust to autocorrelation in the lagged climate variables (Supplementary Methods Section  2 and Supplementary Figs. 4 and 5 ), that information criteria provide an effective indicator for lag selection (Supplementary Methods Section  2 and Supplementary Fig. 6 ), that the results are robust to concerns of imperfect multicollinearity between climate variables and that including several climate variables is actually necessary to isolate their separate effects (Supplementary Methods Section  3 and Supplementary Fig. 7 ). We provide a further robustness check using a restricted distributed lag model to limit oscillations in the lagged parameter estimates that may result from autocorrelation, finding that it provides similar estimates of cumulative marginal effects to the unrestricted model (Supplementary Methods Section 4 and Supplementary Figs. 8 and 9 ). Finally, to explicitly account for any outstanding uncertainty arising from the precise choice of the number of lags, we include empirical models with marginally different numbers of lags in the error-sampling procedure of our projection of future damages. On the basis of the lag-selection procedure (the significance of lagged terms in Extended Data Fig. 1 and Extended Data Table 2 , as well as information criteria in Extended Data Fig. 3 ), we sample from models with eight to ten lags for temperature and four for precipitation (models shown in Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ). In summary, this empirical approach to constrain the persistence of climate impacts on economic growth rates is conservative by design in avoiding assumptions of infinite persistence, but nevertheless provides a lower bound on the extent of impact persistence that is robust to the numerous tests outlined above.

Committed damages until mid-century

We combine these empirical economic response functions (Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ) with an ensemble of 21 climate models (see Supplementary Table 5 ) from the Coupled Model Intercomparison Project Phase 6 (CMIP-6) 22 to project the macroeconomic damages from these components of physical climate change (see Methods for further details). Bias-adjusted climate models that provide a highly accurate reproduction of observed climatological patterns with limited uncertainty (Supplementary Table 6 ) are used to avoid introducing biases in the projections. Following a well-developed literature 2 , 3 , 19 , these projections do not aim to provide a prediction of future economic growth. Instead, they are a projection of the exogenous impact of future climate conditions on the economy relative to the baselines specified by socio-economic projections, based on the plausibly causal relationships inferred by the empirical models and assuming ceteris paribus. Other exogenous factors relevant for the prediction of economic output are purposefully assumed constant.

A Monte Carlo procedure that samples from climate model projections, empirical models with different numbers of lags and model parameter estimates (obtained by 1,000 block-bootstrap resamples of each of the regressions in Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ) is used to estimate the combined uncertainty from these sources. Given these uncertainty distributions, we find that projected global damages are statistically indistinguishable across the two most extreme emission scenarios until 2049 (at the 5% significance level; Fig. 1 ). As such, the climate damages occurring before this time constitute those to which the world is already committed owing to the combination of past emissions and the range of future emission scenarios that are considered socio-economically plausible 15 . These committed damages comprise a permanent income reduction of 19% on average globally (population-weighted average) in comparison with a baseline without climate-change impacts (with a likely range of 11–29%, following the likelihood classification adopted by the Intergovernmental Panel on Climate Change (IPCC); see caption of Fig. 1 ). Even though levels of income per capita generally still increase relative to those of today, this constitutes a permanent income reduction for most regions, including North America and Europe (each with median income reductions of approximately 11%) and with South Asia and Africa being the most strongly affected (each with median income reductions of approximately 22%; Fig. 1 ). Under a middle-of-the road scenario of future income development (SSP2, in which SSP stands for Shared Socio-economic Pathway), this corresponds to global annual damages in 2049 of 38 trillion in 2005 international dollars (likely range of 19–59 trillion 2005 international dollars). Compared with empirical specifications that assume pure growth or pure level effects, our preferred specification that provides a robust lower bound on the extent of climate impact persistence produces damages between these two extreme assumptions (Extended Data Fig. 3 ).

Estimates of the projected reduction in income per capita from changes in all climate variables based on empirical models of climate impacts on economic output with a robust lower bound on their persistence (Extended Data Fig. 1 ) under a low-emission scenario compatible with the 2 °C warming target and a high-emission scenario (SSP2-RCP2.6 and SSP5-RCP8.5, respectively) are shown in purple and orange, respectively. Shading represents the 34% and 10% confidence intervals reflecting the likely and very likely ranges, respectively (following the likelihood classification adopted by the IPCC), having estimated uncertainty from a Monte Carlo procedure, which samples the uncertainty from the choice of physical climate models, empirical models with different numbers of lags and bootstrapped estimates of the regression parameters shown in Supplementary Figs. 1 – 3 . Vertical dashed lines show the time at which the climate damages of the two emission scenarios diverge at the 5% and 1% significance levels based on the distribution of differences between emission scenarios arising from the uncertainty sampling discussed above. Note that uncertainty in the difference of the two scenarios is smaller than the combined uncertainty of the two respective scenarios because samples of the uncertainty (climate model and empirical model choice, as well as model parameter bootstrap) are consistent across the two emission scenarios, hence the divergence of damages occurs while the uncertainty bounds of the two separate damage scenarios still overlap. Estimates of global mitigation costs from the three IAMs that provide results for the SSP2 baseline and SSP2-RCP2.6 scenario are shown in light green in the top panel, with the median of these estimates shown in bold.

Damages already outweigh mitigation costs

We compare the damages to which the world is committed over the next 25 years to estimates of the mitigation costs required to achieve the Paris Climate Agreement. Taking estimates of mitigation costs from the three integrated assessment models (IAMs) in the IPCC AR6 database 23 that provide results under comparable scenarios (SSP2 baseline and SSP2-RCP2.6, in which RCP stands for Representative Concentration Pathway), we find that the median committed climate damages are larger than the median mitigation costs in 2050 (six trillion in 2005 international dollars) by a factor of approximately six (note that estimates of mitigation costs are only provided every 10 years by the IAMs and so a comparison in 2049 is not possible). This comparison simply aims to compare the magnitude of future damages against mitigation costs, rather than to conduct a formal cost–benefit analysis of transitioning from one emission path to another. Formal cost–benefit analyses typically find that the net benefits of mitigation only emerge after 2050 (ref.  5 ), which may lead some to conclude that physical damages from climate change are simply not large enough to outweigh mitigation costs until the second half of the century. Our simple comparison of their magnitudes makes clear that damages are actually already considerably larger than mitigation costs and the delayed emergence of net mitigation benefits results primarily from the fact that damages across different emission paths are indistinguishable until mid-century (Fig. 1 ).

Although these near-term damages constitute those to which the world is already committed, we note that damage estimates diverge strongly across emission scenarios after 2049, conveying the clear benefits of mitigation from a purely economic point of view that have been emphasized in previous studies 4 , 24 . As well as the uncertainties assessed in Fig. 1 , these conclusions are robust to structural choices, such as the timescale with which changes in the moderating variables of the empirical models are estimated (Supplementary Figs. 10 and 11 ), as well as the order in which one accounts for the intertemporal and international components of currency comparison (Supplementary Fig. 12 ; see Methods for further details).

Damages from variability and extremes

Committed damages primarily arise through changes in average temperature (Fig. 2 ). This reflects the fact that projected changes in average temperature are larger than those in other climate variables when expressed as a function of their historical interannual variability (Extended Data Fig. 4 ). Because the historical variability is that on which the empirical models are estimated, larger projected changes in comparison with this variability probably lead to larger future impacts in a purely statistical sense. From a mechanistic perspective, one may plausibly interpret this result as implying that future changes in average temperature are the most unprecedented from the perspective of the historical fluctuations to which the economy is accustomed and therefore will cause the most damage. This insight may prove useful in terms of guiding adaptation measures to the sources of greatest damage.

Estimates of the median projected reduction in sub-national income per capita across emission scenarios (SSP2-RCP2.6 and SSP2-RCP8.5) as well as climate model, empirical model and model parameter uncertainty in the year in which climate damages diverge at the 5% level (2049, as identified in Fig. 1 ). a , Impacts arising from all climate variables. b – f , Impacts arising separately from changes in annual mean temperature ( b ), daily temperature variability ( c ), total annual precipitation ( d ), the annual number of wet days (>1 mm) ( e ) and extreme daily rainfall ( f ) (see Methods for further definitions). Data on national administrative boundaries are obtained from the GADM database version 3.6 and are freely available for academic use ( https://gadm.org/ ).

Nevertheless, future damages based on empirical models that consider changes in annual average temperature only and exclude the other climate variables constitute income reductions of only 13% in 2049 (Extended Data Fig. 5a , likely range 5–21%). This suggests that accounting for the other components of the distribution of temperature and precipitation raises net damages by nearly 50%. This increase arises through the further damages that these climatic components cause, but also because their inclusion reveals a stronger negative economic response to average temperatures (Extended Data Fig. 5b ). The latter finding is consistent with our Monte Carlo simulations, which suggest that the magnitude of the effect of average temperature on economic growth is underestimated unless accounting for the impacts of other correlated climate variables (Supplementary Fig. 7 ).

In terms of the relative contributions of the different climatic components to overall damages, we find that accounting for daily temperature variability causes the largest increase in overall damages relative to empirical frameworks that only consider changes in annual average temperature (4.9 percentage points, likely range 2.4–8.7 percentage points, equivalent to approximately 10 trillion international dollars). Accounting for precipitation causes smaller increases in overall damages, which are—nevertheless—equivalent to approximately 1.2 trillion international dollars: 0.01 percentage points (−0.37–0.33 percentage points), 0.34 percentage points (0.07–0.90 percentage points) and 0.36 percentage points (0.13–0.65 percentage points) from total annual precipitation, the number of wet days and extreme daily precipitation, respectively. Moreover, climate models seem to underestimate future changes in temperature variability 25 and extreme precipitation 26 , 27 in response to anthropogenic forcing as compared with that observed historically, suggesting that the true impacts from these variables may be larger.

The distribution of committed damages

The spatial distribution of committed damages (Fig. 2a ) reflects a complex interplay between the patterns of future change in several climatic components and those of historical economic vulnerability to changes in those variables. Damages resulting from increasing annual mean temperature (Fig. 2b ) are negative almost everywhere globally, and larger at lower latitudes in regions in which temperatures are already higher and economic vulnerability to temperature increases is greatest (see the response heterogeneity to mean temperature embodied in Extended Data Fig. 1a ). This occurs despite the amplified warming projected at higher latitudes 28 , suggesting that regional heterogeneity in economic vulnerability to temperature changes outweighs heterogeneity in the magnitude of future warming (Supplementary Fig. 13a ). Economic damages owing to daily temperature variability (Fig. 2c ) exhibit a strong latitudinal polarisation, primarily reflecting the physical response of daily variability to greenhouse forcing in which increases in variability across lower latitudes (and Europe) contrast decreases at high latitudes 25 (Supplementary Fig. 13b ). These two temperature terms are the dominant determinants of the pattern of overall damages (Fig. 2a ), which exhibits a strong polarity with damages across most of the globe except at the highest northern latitudes. Future changes in total annual precipitation mainly bring economic benefits except in regions of drying, such as the Mediterranean and central South America (Fig. 2d and Supplementary Fig. 13c ), but these benefits are opposed by changes in the number of wet days, which produce damages with a similar pattern of opposite sign (Fig. 2e and Supplementary Fig. 13d ). By contrast, changes in extreme daily rainfall produce damages in all regions, reflecting the intensification of daily rainfall extremes over global land areas 29 , 30 (Fig. 2f and Supplementary Fig. 13e ).

The spatial distribution of committed damages implies considerable injustice along two dimensions: culpability for the historical emissions that have caused climate change and pre-existing levels of socio-economic welfare. Spearman’s rank correlations indicate that committed damages are significantly larger in countries with smaller historical cumulative emissions, as well as in regions with lower current income per capita (Fig. 3 ). This implies that those countries that will suffer the most from the damages already committed are those that are least responsible for climate change and which also have the least resources to adapt to it.

Estimates of the median projected change in national income per capita across emission scenarios (RCP2.6 and RCP8.5) as well as climate model, empirical model and model parameter uncertainty in the year in which climate damages diverge at the 5% level (2049, as identified in Fig. 1 ) are plotted against cumulative national emissions per capita in 2020 (from the Global Carbon Project) and coloured by national income per capita in 2020 (from the World Bank) in a and vice versa in b . In each panel, the size of each scatter point is weighted by the national population in 2020 (from the World Bank). Inset numbers indicate the Spearman’s rank correlation ρ and P -values for a hypothesis test whose null hypothesis is of no correlation, as well as the Spearman’s rank correlation weighted by national population.

To further quantify this heterogeneity, we assess the difference in committed damages between the upper and lower quartiles of regions when ranked by present income levels and historical cumulative emissions (using a population weighting to both define the quartiles and estimate the group averages). On average, the quartile of countries with lower income are committed to an income loss that is 8.9 percentage points (or 61%) greater than the upper quartile (Extended Data Fig. 6 ), with a likely range of 3.8–14.7 percentage points across the uncertainty sampling of our damage projections (following the likelihood classification adopted by the IPCC). Similarly, the quartile of countries with lower historical cumulative emissions are committed to an income loss that is 6.9 percentage points (or 40%) greater than the upper quartile, with a likely range of 0.27–12 percentage points. These patterns reemphasize the prevalence of injustice in climate impacts 31 , 32 , 33 in the context of the damages to which the world is already committed by historical emissions and socio-economic inertia.

Contextualizing the magnitude of damages

The magnitude of projected economic damages exceeds previous literature estimates 2 , 3 , arising from several developments made on previous approaches. Our estimates are larger than those of ref.  2 (see first row of Extended Data Table 3 ), primarily because of the facts that sub-national estimates typically show a steeper temperature response (see also refs.  3 , 34 ) and that accounting for other climatic components raises damage estimates (Extended Data Fig. 5 ). However, we note that our empirical approach using first-differenced climate variables is conservative compared with that of ref.  2 in regard to the persistence of climate impacts on growth (see introduction and Methods section ‘Empirical model specification: fixed-effects distributed lag models’), an important determinant of the magnitude of long-term damages 19 , 21 . Using a similar empirical specification to ref.  2 , which assumes infinite persistence while maintaining the rest of our approach (sub-national data and further climate variables), produces considerably larger damages (purple curve of Extended Data Fig. 3 ). Compared with studies that do take the first difference of climate variables 3 , 35 , our estimates are also larger (see second and third rows of Extended Data Table 3 ). The inclusion of further climate variables (Extended Data Fig. 5 ) and a sufficient number of lags to more adequately capture the extent of impact persistence (Extended Data Figs. 1 and 2 ) are the main sources of this difference, as is the use of specifications that capture nonlinearities in the temperature response when compared with ref.  35 . In summary, our estimates develop on previous studies by incorporating the latest data and empirical insights 7 , 8 , as well as in providing a robust empirical lower bound on the persistence of impacts on economic growth, which constitutes a middle ground between the extremes of the growth-versus-levels debate 19 , 21 (Extended Data Fig. 3 ).

Compared with the fraction of variance explained by the empirical models historically (<5%), the projection of reductions in income of 19% may seem large. This arises owing to the fact that projected changes in climatic conditions are much larger than those that were experienced historically, particularly for changes in average temperature (Extended Data Fig. 4 ). As such, any assessment of future climate-change impacts necessarily requires an extrapolation outside the range of the historical data on which the empirical impact models were evaluated. Nevertheless, these models constitute the most state-of-the-art methods for inference of plausibly causal climate impacts based on observed data. Moreover, we take explicit steps to limit out-of-sample extrapolation by capping the moderating variables of the interaction terms at the 95th percentile of the historical distribution (see Methods ). This avoids extrapolating the marginal effects outside what was observed historically. Given the nonlinear response of economic output to annual mean temperature (Extended Data Fig. 1 and Extended Data Table 2 ), this is a conservative choice that limits the magnitude of damages that we project. Furthermore, back-of-the-envelope calculations indicate that the projected damages are consistent with the magnitude and patterns of historical economic development (see Supplementary Discussion Section  5 ).

Missing impacts and spatial spillovers

Despite assessing several climatic components from which economic impacts have recently been identified 3 , 7 , 8 , this assessment of aggregate climate damages should not be considered comprehensive. Important channels such as impacts from heatwaves 31 , sea-level rise 36 , tropical cyclones 37 and tipping points 38 , 39 , as well as non-market damages such as those to ecosystems 40 and human health 41 , are not considered in these estimates. Sea-level rise is unlikely to be feasibly incorporated into empirical assessments such as this because historical sea-level variability is mostly small. Non-market damages are inherently intractable within our estimates of impacts on aggregate monetary output and estimates of these impacts could arguably be considered as extra to those identified here. Recent empirical work suggests that accounting for these channels would probably raise estimates of these committed damages, with larger damages continuing to arise in the global south 31 , 36 , 37 , 38 , 39 , 40 , 41 , 42 .

Moreover, our main empirical analysis does not explicitly evaluate the potential for impacts in local regions to produce effects that ‘spill over’ into other regions. Such effects may further mitigate or amplify the impacts we estimate, for example, if companies relocate production from one affected region to another or if impacts propagate along supply chains. The current literature indicates that trade plays a substantial role in propagating spillover effects 43 , 44 , making their assessment at the sub-national level challenging without available data on sub-national trade dependencies. Studies accounting for only spatially adjacent neighbours indicate that negative impacts in one region induce further negative impacts in neighbouring regions 45 , 46 , 47 , 48 , suggesting that our projected damages are probably conservative by excluding these effects. In Supplementary Fig. 14 , we assess spillovers from neighbouring regions using a spatial-lag model. For simplicity, this analysis excludes temporal lags, focusing only on contemporaneous effects. The results show that accounting for spatial spillovers can amplify the overall magnitude, and also the heterogeneity, of impacts. Consistent with previous literature, this indicates that the overall magnitude (Fig. 1 ) and heterogeneity (Fig. 3 ) of damages that we project in our main specification may be conservative without explicitly accounting for spillovers. We note that further analysis that addresses both spatially and trade-connected spillovers, while also accounting for delayed impacts using temporal lags, would be necessary to adequately address this question fully. These approaches offer fruitful avenues for further research but are beyond the scope of this manuscript, which primarily aims to explore the impacts of different climate conditions and their persistence.

Policy implications

We find that the economic damages resulting from climate change until 2049 are those to which the world economy is already committed and that these greatly outweigh the costs required to mitigate emissions in line with the 2 °C target of the Paris Climate Agreement (Fig. 1 ). This assessment is complementary to formal analyses of the net costs and benefits associated with moving from one emission path to another, which typically find that net benefits of mitigation only emerge in the second half of the century 5 . Our simple comparison of the magnitude of damages and mitigation costs makes clear that this is primarily because damages are indistinguishable across emissions scenarios—that is, committed—until mid-century (Fig. 1 ) and that they are actually already much larger than mitigation costs. For simplicity, and owing to the availability of data, we compare damages to mitigation costs at the global level. Regional estimates of mitigation costs may shed further light on the national incentives for mitigation to which our results already hint, of relevance for international climate policy. Although these damages are committed from a mitigation perspective, adaptation may provide an opportunity to reduce them. Moreover, the strong divergence of damages after mid-century reemphasizes the clear benefits of mitigation from a purely economic perspective, as highlighted in previous studies 1 , 4 , 6 , 24 .

Historical climate data

Historical daily 2-m temperature and precipitation totals (in mm) are obtained for the period 1979–2019 from the W5E5 database. The W5E5 dataset comes from ERA-5, a state-of-the-art reanalysis of historical observations, but has been bias-adjusted by applying version 2.0 of the WATCH Forcing Data to ERA-5 reanalysis data and precipitation data from version 2.3 of the Global Precipitation Climatology Project to better reflect ground-based measurements 49 , 50 , 51 . We obtain these data on a 0.5° × 0.5° grid from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) database. Notably, these historical data have been used to bias-adjust future climate projections from CMIP-6 (see the following section), ensuring consistency between the distribution of historical daily weather on which our empirical models were estimated and the climate projections used to estimate future damages. These data are publicly available from the ISIMIP database. See refs.  7 , 8 for robustness tests of the empirical models to the choice of climate data reanalysis products.

Future climate data

Daily 2-m temperature and precipitation totals (in mm) are taken from 21 climate models participating in CMIP-6 under a high (RCP8.5) and a low (RCP2.6) greenhouse gas emission scenario from 2015 to 2100. The data have been bias-adjusted and statistically downscaled to a common half-degree grid to reflect the historical distribution of daily temperature and precipitation of the W5E5 dataset using the trend-preserving method developed by the ISIMIP 50 , 52 . As such, the climate model data reproduce observed climatological patterns exceptionally well (Supplementary Table 5 ). Gridded data are publicly available from the ISIMIP database.

Historical economic data

Historical economic data come from the DOSE database of sub-national economic output 53 . We use a recent revision to the DOSE dataset that provides data across 83 countries, 1,660 sub-national regions with varying temporal coverage from 1960 to 2019. Sub-national units constitute the first administrative division below national, for example, states for the USA and provinces for China. Data come from measures of gross regional product per capita (GRPpc) or income per capita in local currencies, reflecting the values reported in national statistical agencies, yearbooks and, in some cases, academic literature. We follow previous literature 3 , 7 , 8 , 54 and assess real sub-national output per capita by first converting values from local currencies to US dollars to account for diverging national inflationary tendencies and then account for US inflation using a US deflator. Alternatively, one might first account for national inflation and then convert between currencies. Supplementary Fig. 12 demonstrates that our conclusions are consistent when accounting for price changes in the reversed order, although the magnitude of estimated damages varies. See the documentation of the DOSE dataset for further discussion of these choices. Conversions between currencies are conducted using exchange rates from the FRED database of the Federal Reserve Bank of St. Louis 55 and the national deflators from the World Bank 56 .

Future socio-economic data

Baseline gridded gross domestic product (GDP) and population data for the period 2015–2100 are taken from the middle-of-the-road scenario SSP2 (ref.  15 ). Population data have been downscaled to a half-degree grid by the ISIMIP following the methodologies of refs.  57 , 58 , which we then aggregate to the sub-national level of our economic data using the spatial aggregation procedure described below. Because current methodologies for downscaling the GDP of the SSPs use downscaled population to do so, per-capita estimates of GDP with a realistic distribution at the sub-national level are not readily available for the SSPs. We therefore use national-level GDP per capita (GDPpc) projections for all sub-national regions of a given country, assuming homogeneity within countries in terms of baseline GDPpc. Here we use projections that have been updated to account for the impact of the COVID-19 pandemic on the trajectory of future income, while remaining consistent with the long-term development of the SSPs 59 . The choice of baseline SSP alters the magnitude of projected climate damages in monetary terms, but when assessed in terms of percentage change from the baseline, the choice of socio-economic scenario is inconsequential. Gridded SSP population data and national-level GDPpc data are publicly available from the ISIMIP database. Sub-national estimates as used in this study are available in the code and data replication files.

Climate variables

Following recent literature 3 , 7 , 8 , we calculate an array of climate variables for which substantial impacts on macroeconomic output have been identified empirically, supported by further evidence at the micro level for plausible underlying mechanisms. See refs.  7 , 8 for an extensive motivation for the use of these particular climate variables and for detailed empirical tests on the nature and robustness of their effects on economic output. To summarize, these studies have found evidence for independent impacts on economic growth rates from annual average temperature, daily temperature variability, total annual precipitation, the annual number of wet days and extreme daily rainfall. Assessments of daily temperature variability were motivated by evidence of impacts on agricultural output and human health, as well as macroeconomic literature on the impacts of volatility on growth when manifest in different dimensions, such as government spending, exchange rates and even output itself 7 . Assessments of precipitation impacts were motivated by evidence of impacts on agricultural productivity, metropolitan labour outcomes and conflict, as well as damages caused by flash flooding 8 . See Extended Data Table 1 for detailed references to empirical studies of these physical mechanisms. Marked impacts of daily temperature variability, total annual precipitation, the number of wet days and extreme daily rainfall on macroeconomic output were identified robustly across different climate datasets, spatial aggregation schemes, specifications of regional time trends and error-clustering approaches. They were also found to be robust to the consideration of temperature extremes 7 , 8 . Furthermore, these climate variables were identified as having independent effects on economic output 7 , 8 , which we further explain here using Monte Carlo simulations to demonstrate the robustness of the results to concerns of imperfect multicollinearity between climate variables (Supplementary Methods Section  2 ), as well as by using information criteria (Supplementary Table 1 ) to demonstrate that including several lagged climate variables provides a preferable trade-off between optimally describing the data and limiting the possibility of overfitting.

We calculate these variables from the distribution of daily, d , temperature, T x , d , and precipitation, P x , d , at the grid-cell, x , level for both the historical and future climate data. As well as annual mean temperature, \({\bar{T}}_{x,y}\) , and annual total precipitation, P x , y , we calculate annual, y , measures of daily temperature variability, \({\widetilde{T}}_{x,y}\) :

the number of wet days, Pwd x , y :

and extreme daily rainfall:

in which T x , d , m , y is the grid-cell-specific daily temperature in month m and year y , \({\bar{T}}_{x,m,{y}}\) is the year and grid-cell-specific monthly, m , mean temperature, D m and D y the number of days in a given month m or year y , respectively, H the Heaviside step function, 1 mm the threshold used to define wet days and P 99.9 x is the 99.9th percentile of historical (1979–2019) daily precipitation at the grid-cell level. Units of the climate measures are degrees Celsius for annual mean temperature and daily temperature variability, millimetres for total annual precipitation and extreme daily precipitation, and simply the number of days for the annual number of wet days.

We also calculated weighted standard deviations of monthly rainfall totals as also used in ref.  8 but do not include them in our projections as we find that, when accounting for delayed effects, their effect becomes statistically indistinct and is better captured by changes in total annual rainfall.

Spatial aggregation

We aggregate grid-cell-level historical and future climate measures, as well as grid-cell-level future GDPpc and population, to the level of the first administrative unit below national level of the GADM database, using an area-weighting algorithm that estimates the portion of each grid cell falling within an administrative boundary. We use this as our baseline specification following previous findings that the effect of area or population weighting at the sub-national level is negligible 7 , 8 .

Empirical model specification: fixed-effects distributed lag models

Following a wide range of climate econometric literature 16 , 60 , we use panel regression models with a selection of fixed effects and time trends to isolate plausibly exogenous variation with which to maximize confidence in a causal interpretation of the effects of climate on economic growth rates. The use of region fixed effects, μ r , accounts for unobserved time-invariant differences between regions, such as prevailing climatic norms and growth rates owing to historical and geopolitical factors. The use of yearly fixed effects, η y , accounts for regionally invariant annual shocks to the global climate or economy such as the El Niño–Southern Oscillation or global recessions. In our baseline specification, we also include region-specific linear time trends, k r y , to exclude the possibility of spurious correlations resulting from common slow-moving trends in climate and growth.

The persistence of climate impacts on economic growth rates is a key determinant of the long-term magnitude of damages. Methods for inferring the extent of persistence in impacts on growth rates have typically used lagged climate variables to evaluate the presence of delayed effects or catch-up dynamics 2 , 18 . For example, consider starting from a model in which a climate condition, C r , y , (for example, annual mean temperature) affects the growth rate, Δlgrp r , y (the first difference of the logarithm of gross regional product) of region r in year y :

which we refer to as a ‘pure growth effects’ model in the main text. Typically, further lags are included,

and the cumulative effect of all lagged terms is evaluated to assess the extent to which climate impacts on growth rates persist. Following ref.  18 , in the case that,

the implication is that impacts on the growth rate persist up to NL years after the initial shock (possibly to a weaker or a stronger extent), whereas if

then the initial impact on the growth rate is recovered after NL years and the effect is only one on the level of output. However, we note that such approaches are limited by the fact that, when including an insufficient number of lags to detect a recovery of the growth rates, one may find equation ( 6 ) to be satisfied and incorrectly assume that a change in climatic conditions affects the growth rate indefinitely. In practice, given a limited record of historical data, including too few lags to confidently conclude in an infinitely persistent impact on the growth rate is likely, particularly over the long timescales over which future climate damages are often projected 2 , 24 . To avoid this issue, we instead begin our analysis with a model for which the level of output, lgrp r , y , depends on the level of a climate variable, C r , y :

Given the non-stationarity of the level of output, we follow the literature 19 and estimate such an equation in first-differenced form as,

which we refer to as a model of ‘pure level effects’ in the main text. This model constitutes a baseline specification in which a permanent change in the climate variable produces an instantaneous impact on the growth rate and a permanent effect only on the level of output. By including lagged variables in this specification,

we are able to test whether the impacts on the growth rate persist any further than instantaneously by evaluating whether α L  > 0 are statistically significantly different from zero. Even though this framework is also limited by the possibility of including too few lags, the choice of a baseline model specification in which impacts on the growth rate do not persist means that, in the case of including too few lags, the framework reverts to the baseline specification of level effects. As such, this framework is conservative with respect to the persistence of impacts and the magnitude of future damages. It naturally avoids assumptions of infinite persistence and we are able to interpret any persistence that we identify with equation ( 9 ) as a lower bound on the extent of climate impact persistence on growth rates. See the main text for further discussion of this specification choice, in particular about its conservative nature compared with previous literature estimates, such as refs.  2 , 18 .

We allow the response to climatic changes to vary across regions, using interactions of the climate variables with historical average (1979–2019) climatic conditions reflecting heterogenous effects identified in previous work 7 , 8 . Following this previous work, the moderating variables of these interaction terms constitute the historical average of either the variable itself or of the seasonal temperature difference, \({\hat{T}}_{r}\) , or annual mean temperature, \({\bar{T}}_{r}\) , in the case of daily temperature variability 7 and extreme daily rainfall, respectively 8 .

The resulting regression equation with N and M lagged variables, respectively, reads:

in which Δlgrp r , y is the annual, regional GRPpc growth rate, measured as the first difference of the logarithm of real GRPpc, following previous work 2 , 3 , 7 , 8 , 18 , 19 . Fixed-effects regressions were run using the fixest package in R (ref.  61 ).

Estimates of the coefficients of interest α i , L are shown in Extended Data Fig. 1 for N  =  M  = 10 lags and for our preferred choice of the number of lags in Supplementary Figs. 1 – 3 . In Extended Data Fig. 1 , errors are shown clustered at the regional level, but for the construction of damage projections, we block-bootstrap the regressions by region 1,000 times to provide a range of parameter estimates with which to sample the projection uncertainty (following refs.  2 , 31 ).

Spatial-lag model

In Supplementary Fig. 14 , we present the results from a spatial-lag model that explores the potential for climate impacts to ‘spill over’ into spatially neighbouring regions. We measure the distance between centroids of each pair of sub-national regions and construct spatial lags that take the average of the first-differenced climate variables and their interaction terms over neighbouring regions that are at distances of 0–500, 500–1,000, 1,000–1,500 and 1,500–2000 km (spatial lags, ‘SL’, 1 to 4). For simplicity, we then assess a spatial-lag model without temporal lags to assess spatial spillovers of contemporaneous climate impacts. This model takes the form:

in which SL indicates the spatial lag of each climate variable and interaction term. In Supplementary Fig. 14 , we plot the cumulative marginal effect of each climate variable at different baseline climate conditions by summing the coefficients for each climate variable and interaction term, for example, for average temperature impacts as:

These cumulative marginal effects can be regarded as the overall spatially dependent impact to an individual region given a one-unit shock to a climate variable in that region and all neighbouring regions at a given value of the moderating variable of the interaction term.

Constructing projections of economic damage from future climate change

We construct projections of future climate damages by applying the coefficients estimated in equation ( 10 ) and shown in Supplementary Tables 2 – 4 (when including only lags with statistically significant effects in specifications that limit overfitting; see Supplementary Methods Section  1 ) to projections of future climate change from the CMIP-6 models. Year-on-year changes in each primary climate variable of interest are calculated to reflect the year-to-year variations used in the empirical models. 30-year moving averages of the moderating variables of the interaction terms are calculated to reflect the long-term average of climatic conditions that were used for the moderating variables in the empirical models. By using moving averages in the projections, we account for the changing vulnerability to climate shocks based on the evolving long-term conditions (Supplementary Figs. 10 and 11 show that the results are robust to the precise choice of the window of this moving average). Although these climate variables are not differenced, the fact that the bias-adjusted climate models reproduce observed climatological patterns across regions for these moderating variables very accurately (Supplementary Table 6 ) with limited spread across models (<3%) precludes the possibility that any considerable bias or uncertainty is introduced by this methodological choice. However, we impose caps on these moderating variables at the 95th percentile at which they were observed in the historical data to prevent extrapolation of the marginal effects outside the range in which the regressions were estimated. This is a conservative choice that limits the magnitude of our damage projections.

Time series of primary climate variables and moderating climate variables are then combined with estimates of the empirical model parameters to evaluate the regression coefficients in equation ( 10 ), producing a time series of annual GRPpc growth-rate reductions for a given emission scenario, climate model and set of empirical model parameters. The resulting time series of growth-rate impacts reflects those occurring owing to future climate change. By contrast, a future scenario with no climate change would be one in which climate variables do not change (other than with random year-to-year fluctuations) and hence the time-averaged evaluation of equation ( 10 ) would be zero. Our approach therefore implicitly compares the future climate-change scenario to this no-climate-change baseline scenario.

The time series of growth-rate impacts owing to future climate change in region r and year y , δ r , y , are then added to the future baseline growth rates, π r , y (in log-diff form), obtained from the SSP2 scenario to yield trajectories of damaged GRPpc growth rates, ρ r , y . These trajectories are aggregated over time to estimate the future trajectory of GRPpc with future climate impacts:

in which GRPpc r , y =2020 is the initial log level of GRPpc. We begin damage estimates in 2020 to reflect the damages occurring since the end of the period for which we estimate the empirical models (1979–2019) and to match the timing of mitigation-cost estimates from most IAMs (see below).

For each emission scenario, this procedure is repeated 1,000 times while randomly sampling from the selection of climate models, the selection of empirical models with different numbers of lags (shown in Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ) and bootstrapped estimates of the regression parameters. The result is an ensemble of future GRPpc trajectories that reflect uncertainty from both physical climate change and the structural and sampling uncertainty of the empirical models.

Estimates of mitigation costs

We obtain IPCC estimates of the aggregate costs of emission mitigation from the AR6 Scenario Explorer and Database hosted by IIASA 23 . Specifically, we search the AR6 Scenarios Database World v1.1 for IAMs that provided estimates of global GDP and population under both a SSP2 baseline and a SSP2-RCP2.6 scenario to maintain consistency with the socio-economic and emission scenarios of the climate damage projections. We find five IAMs that provide data for these scenarios, namely, MESSAGE-GLOBIOM 1.0, REMIND-MAgPIE 1.5, AIM/GCE 2.0, GCAM 4.2 and WITCH-GLOBIOM 3.1. Of these five IAMs, we use the results only from the first three that passed the IPCC vetting procedure for reproducing historical emission and climate trajectories. We then estimate global mitigation costs as the percentage difference in global per capita GDP between the SSP2 baseline and the SSP2-RCP2.6 emission scenario. In the case of one of these IAMs, estimates of mitigation costs begin in 2020, whereas in the case of two others, mitigation costs begin in 2010. The mitigation cost estimates before 2020 in these two IAMs are mostly negligible, and our choice to begin comparison with damage estimates in 2020 is conservative with respect to the relative weight of climate damages compared with mitigation costs for these two IAMs.

Data availability

Data on economic production and ERA-5 climate data are publicly available at https://doi.org/10.5281/zenodo.4681306 (ref. 62 ) and https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5 , respectively. Data on mitigation costs are publicly available at https://data.ene.iiasa.ac.at/ar6/#/downloads . Processed climate and economic data, as well as all other necessary data for reproduction of the results, are available at the public repository https://doi.org/10.5281/zenodo.10562951  (ref. 63 ).

Code availability

All code necessary for reproduction of the results is available at the public repository https://doi.org/10.5281/zenodo.10562951  (ref. 63 ).

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Acknowledgements

We gratefully acknowledge financing from the Volkswagen Foundation and the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH on behalf of the Government of the Federal Republic of Germany and Federal Ministry for Economic Cooperation and Development (BMZ).

Open access funding provided by Potsdam-Institut für Klimafolgenforschung (PIK) e.V.

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Extended data figures and tables

Extended data fig. 1 constraining the persistence of historical climate impacts on economic growth rates..

The results of a panel-based fixed-effects distributed lag model for the effects of annual mean temperature ( a ), daily temperature variability ( b ), total annual precipitation ( c ), the number of wet days ( d ) and extreme daily precipitation ( e ) on sub-national economic growth rates. Point estimates show the effects of a 1 °C or one standard deviation increase (for temperature and precipitation variables, respectively) at the lower quartile, median and upper quartile of the relevant moderating variable (green, orange and purple, respectively) at different lagged periods after the initial shock (note that these are not cumulative effects). Climate variables are used in their first-differenced form (see main text for discussion) and the moderating climate variables are the annual mean temperature, seasonal temperature difference, total annual precipitation, number of wet days and annual mean temperature, respectively, in panels a – e (see Methods for further discussion). Error bars show the 95% confidence intervals having clustered standard errors by region. The within-region R 2 , Bayesian and Akaike information criteria for the model are shown at the top of the figure. This figure shows results with ten lags for each variable to demonstrate the observed levels of persistence, but our preferred specifications remove later lags based on the statistical significance of terms shown above and the information criteria shown in Extended Data Fig. 2 . The resulting models without later lags are shown in Supplementary Figs. 1 – 3 .

Extended Data Fig. 2 Incremental lag-selection procedure using information criteria and within-region R 2 .

Starting from a panel-based fixed-effects distributed lag model estimating the effects of climate on economic growth using the real historical data (as in equation ( 4 )) with ten lags for all climate variables (as shown in Extended Data Fig. 1 ), lags are incrementally removed for one climate variable at a time. The resulting Bayesian and Akaike information criteria are shown in a – e and f – j , respectively, and the within-region R 2 and number of observations in k – o and p – t , respectively. Different rows show the results when removing lags from different climate variables, ordered from top to bottom as annual mean temperature, daily temperature variability, total annual precipitation, the number of wet days and extreme annual precipitation. Information criteria show minima at approximately four lags for precipitation variables and ten to eight for temperature variables, indicating that including these numbers of lags does not lead to overfitting. See Supplementary Table 1 for an assessment using information criteria to determine whether including further climate variables causes overfitting.

Extended Data Fig. 3 Damages in our preferred specification that provides a robust lower bound on the persistence of climate impacts on economic growth versus damages in specifications of pure growth or pure level effects.

Estimates of future damages as shown in Fig. 1 but under the emission scenario RCP8.5 for three separate empirical specifications: in orange our preferred specification, which provides an empirical lower bound on the persistence of climate impacts on economic growth rates while avoiding assumptions of infinite persistence (see main text for further discussion); in purple a specification of ‘pure growth effects’ in which the first difference of climate variables is not taken and no lagged climate variables are included (the baseline specification of ref.  2 ); and in pink a specification of ‘pure level effects’ in which the first difference of climate variables is taken but no lagged terms are included.

Extended Data Fig. 4 Climate changes in different variables as a function of historical interannual variability.

Changes in each climate variable of interest from 1979–2019 to 2035–2065 under the high-emission scenario SSP5-RCP8.5, expressed as a percentage of the historical variability of each measure. Historical variability is estimated as the standard deviation of each detrended climate variable over the period 1979–2019 during which the empirical models were identified (detrending is appropriate because of the inclusion of region-specific linear time trends in the empirical models). See Supplementary Fig. 13 for changes expressed in standard units. Data on national administrative boundaries are obtained from the GADM database version 3.6 and are freely available for academic use ( https://gadm.org/ ).

Extended Data Fig. 5 Contribution of different climate variables to overall committed damages.

a , Climate damages in 2049 when using empirical models that account for all climate variables, changes in annual mean temperature only or changes in both annual mean temperature and one other climate variable (daily temperature variability, total annual precipitation, the number of wet days and extreme daily precipitation, respectively). b , The cumulative marginal effects of an increase in annual mean temperature of 1 °C, at different baseline temperatures, estimated from empirical models including all climate variables or annual mean temperature only. Estimates and uncertainty bars represent the median and 95% confidence intervals obtained from 1,000 block-bootstrap resamples from each of three different empirical models using eight, nine or ten lags of temperature terms.

Extended Data Fig. 6 The difference in committed damages between the upper and lower quartiles of countries when ranked by GDP and cumulative historical emissions.

Quartiles are defined using a population weighting, as are the average committed damages across each quartile group. The violin plots indicate the distribution of differences between quartiles across the two extreme emission scenarios (RCP2.6 and RCP8.5) and the uncertainty sampling procedure outlined in Methods , which accounts for uncertainty arising from the choice of lags in the empirical models, uncertainty in the empirical model parameter estimates, as well as the climate model projections. Bars indicate the median, as well as the 10th and 90th percentiles and upper and lower sixths of the distribution reflecting the very likely and likely ranges following the likelihood classification adopted by the IPCC.

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Kotz, M., Levermann, A. & Wenz, L. The economic commitment of climate change. Nature 628 , 551–557 (2024). https://doi.org/10.1038/s41586-024-07219-0

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Closed-source models still outperform their open-sourced counterparts. On 10 selected benchmarks, closed models achieved a median performance advantage of 24.2%, with differences ranging from as little as 4.0% on mathematical tasks like GSM8K to as much as 317.7% on agentic tasks like AgentBench.

Biggest Players

Industry dominates AI, especially in building and releasing foundation models. This past year Google edged out other industry players in releasing the most models, including Gemini and RT-2. In fact, since 2019, Google has led in releasing the most foundation models, with a total of 40, followed by OpenAI with 20. Academia trails industry: This past year, UC Berkeley released three models and Stanford two.

Industry Dwarfs All

If you needed more striking evidence that corporate AI is the only player in the room right now, this should do it. In 2023, industry accounted for 72% of all new foundation models.

Prices Skyrocket

One of the reasons academia and government have been edged out of the AI race: the exponential increase in cost of training these giant models. Google’s Gemini Ultra cost an estimated $191 million worth of compute to train, while OpenAI’s GPT-4 cost an estimated $78 million. In comparison, in 2017, the original Transformer model, which introduced the architecture that underpins virtually every modern LLM, cost around $900.

What AI Race?

At least in terms of notable machine learning models, the United States vastly outpaced other countries in 2023, developing a total of 61 models in 2023. Since 2019, the U.S. has consistently led in originating the majority of notable models, followed by China and the UK.

Move Over, Human

As of 2023, AI has hit human-level performance on many significant AI benchmarks, from those testing reading comprehension to visual reasoning. Still, it falls just short on some benchmarks like competition-level math. Because AI has been blasting past so many standard benchmarks, AI scholars have had to create new and more difficult challenges. This year’s index also tracked several of these new benchmarks, including those for tasks in coding, advanced reasoning, and agentic behavior.

Private Investment Drops (But We See You, GenAI)

While AI private investment has steadily dropped since 2021, generative AI is gaining steam. In 2023, the sector attracted $25.2 billion, nearly ninefold the investment of 2022 and about 30 times the amount from 2019 (call it the ChatGPT effect). Generative AI accounted for over a quarter of all AI-related private investments in 2023.

U.S. Wins $$ Race

And again, in 2023 the United States dominates in AI private investment. In 2023, the $67.2 billion invested in the U.S. was roughly 8.7 times greater than the amount invested in the next highest country, China, and 17.8 times the amount invested in the United Kingdom. That lineup looks the same when zooming out: Cumulatively since 2013, the United States leads investments at $335.2 billion, followed by China with $103.7 billion, and the United Kingdom at $22.3 billion.

Where is Corporate Adoption?

More companies are implementing AI in some part of their business: In surveys, 55% of organizations said they were using AI in 2023, up from 50% in 2022 and 20% in 2017. Businesses report using AI to automate contact centers, personalize content, and acquire new customers. 

Younger and Wealthier People Worry About Jobs

Globally, most people expect AI to change their jobs, and more than a third expect AI to replace them. Younger generations — Gen Z and millennials — anticipate more substantial effects from AI compared with older generations like Gen X and baby boomers. Specifically, 66% of Gen Z compared with 46% of boomer respondents believe AI will significantly affect their current jobs. Meanwhile, individuals with higher incomes, more education, and decision-making roles foresee AI having a great impact on their employment.

While the Commonwealth Worries About AI Products

When asked in a survey about whether AI products and services make you nervous, 69% of Aussies and 65% of Brits said yes. Japan is the least worried about their AI products at 23%.  

Regulation Rallies

More American regulatory agencies are passing regulations to protect citizens and govern the use of AI tools and data. For example, the Copyright Office and the Library of Congress passed copyright registration guidance concerning works that contained material generated by AI, while the Securities and Exchange Commission developed a cybersecurity risk management strategy, governance, and incident disclosure plan. The agencies to pass the most regulation were the Executive Office of the President and the Commerce Department. 

The AI Index was first created to track AI development. The index collaborates with such organizations as LinkedIn, Quid, McKinsey, Studyportals, the Schwartz Reisman Institute, and the International Federation of Robotics to gather the most current research and feature important insights on the AI ecosystem. 

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How Pew Research Center will report on generations moving forward

Journalists, researchers and the public often look at society through the lens of generation, using terms like Millennial or Gen Z to describe groups of similarly aged people. This approach can help readers see themselves in the data and assess where we are and where we’re headed as a country.

Pew Research Center has been at the forefront of generational research over the years, telling the story of Millennials as they came of age politically and as they moved more firmly into adult life . In recent years, we’ve also been eager to learn about Gen Z as the leading edge of this generation moves into adulthood.

But generational research has become a crowded arena. The field has been flooded with content that’s often sold as research but is more like clickbait or marketing mythology. There’s also been a growing chorus of criticism about generational research and generational labels in particular.

Recently, as we were preparing to embark on a major research project related to Gen Z, we decided to take a step back and consider how we can study generations in a way that aligns with our values of accuracy, rigor and providing a foundation of facts that enriches the public dialogue.

A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations.

We set out on a yearlong process of assessing the landscape of generational research. We spoke with experts from outside Pew Research Center, including those who have been publicly critical of our generational analysis, to get their take on the pros and cons of this type of work. We invested in methodological testing to determine whether we could compare findings from our earlier telephone surveys to the online ones we’re conducting now. And we experimented with higher-level statistical analyses that would allow us to isolate the effect of generation.

What emerged from this process was a set of clear guidelines that will help frame our approach going forward. Many of these are principles we’ve always adhered to , but others will require us to change the way we’ve been doing things in recent years.

Here’s a short overview of how we’ll approach generational research in the future:

We’ll only do generational analysis when we have historical data that allows us to compare generations at similar stages of life. When comparing generations, it’s crucial to control for age. In other words, researchers need to look at each generation or age cohort at a similar point in the life cycle. (“Age cohort” is a fancy way of referring to a group of people who were born around the same time.)

When doing this kind of research, the question isn’t whether young adults today are different from middle-aged or older adults today. The question is whether young adults today are different from young adults at some specific point in the past.

To answer this question, it’s necessary to have data that’s been collected over a considerable amount of time – think decades. Standard surveys don’t allow for this type of analysis. We can look at differences across age groups, but we can’t compare age groups over time.

Another complication is that the surveys we conducted 20 or 30 years ago aren’t usually comparable enough to the surveys we’re doing today. Our earlier surveys were done over the phone, and we’ve since transitioned to our nationally representative online survey panel , the American Trends Panel . Our internal testing showed that on many topics, respondents answer questions differently depending on the way they’re being interviewed. So we can’t use most of our surveys from the late 1980s and early 2000s to compare Gen Z with Millennials and Gen Xers at a similar stage of life.

This means that most generational analysis we do will use datasets that have employed similar methodologies over a long period of time, such as surveys from the U.S. Census Bureau. A good example is our 2020 report on Millennial families , which used census data going back to the late 1960s. The report showed that Millennials are marrying and forming families at a much different pace than the generations that came before them.

Even when we have historical data, we will attempt to control for other factors beyond age in making generational comparisons. If we accept that there are real differences across generations, we’re basically saying that people who were born around the same time share certain attitudes or beliefs – and that their views have been influenced by external forces that uniquely shaped them during their formative years. Those forces may have been social changes, economic circumstances, technological advances or political movements.

When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

The tricky part is isolating those forces from events or circumstances that have affected all age groups, not just one generation. These are often called “period effects.” An example of a period effect is the Watergate scandal, which drove down trust in government among all age groups. Differences in trust across age groups in the wake of Watergate shouldn’t be attributed to the outsize impact that event had on one age group or another, because the change occurred across the board.

Changing demographics also may play a role in patterns that might at first seem like generational differences. We know that the United States has become more racially and ethnically diverse in recent decades, and that race and ethnicity are linked with certain key social and political views. When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

Controlling for these factors can involve complicated statistical analysis that helps determine whether the differences we see across age groups are indeed due to generation or not. This additional step adds rigor to the process. Unfortunately, it’s often absent from current discussions about Gen Z, Millennials and other generations.

When we can’t do generational analysis, we still see value in looking at differences by age and will do so where it makes sense. Age is one of the most common predictors of differences in attitudes and behaviors. And even if age gaps aren’t rooted in generational differences, they can still be illuminating. They help us understand how people across the age spectrum are responding to key trends, technological breakthroughs and historical events.

Each stage of life comes with a unique set of experiences. Young adults are often at the leading edge of changing attitudes on emerging social trends. Take views on same-sex marriage , for example, or attitudes about gender identity .

Many middle-aged adults, in turn, face the challenge of raising children while also providing care and support to their aging parents. And older adults have their own obstacles and opportunities. All of these stories – rooted in the life cycle, not in generations – are important and compelling, and we can tell them by analyzing our surveys at any given point in time.

When we do have the data to study groups of similarly aged people over time, we won’t always default to using the standard generational definitions and labels. While generational labels are simple and catchy, there are other ways to analyze age cohorts. For example, some observers have suggested grouping people by the decade in which they were born. This would create narrower cohorts in which the members may share more in common. People could also be grouped relative to their age during key historical events (such as the Great Recession or the COVID-19 pandemic) or technological innovations (like the invention of the iPhone).

By choosing not to use the standard generational labels when they’re not appropriate, we can avoid reinforcing harmful stereotypes or oversimplifying people’s complex lived experiences.

Existing generational definitions also may be too broad and arbitrary to capture differences that exist among narrower cohorts. A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations. The key is to pick a lens that’s most appropriate for the research question that’s being studied. If we’re looking at political views and how they’ve shifted over time, for example, we might group people together according to the first presidential election in which they were eligible to vote.

With these considerations in mind, our audiences should not expect to see a lot of new research coming out of Pew Research Center that uses the generational lens. We’ll only talk about generations when it adds value, advances important national debates and highlights meaningful societal trends.

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