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Guide · Where to Publish

How to Write a Cover Letter for Journal Submission

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Short answer: An effective cover letter journal submission introduces the manuscript, clearly states the research significance and alignment with the journal’s aims and scope, and confirms mandatory ethical disclosures and AI usage.

A journal cover letter should help the editor identify the manuscript, understand why it is being submitted, and locate important declarations or submission-specific information. It is not a second abstract and should not make claims that the manuscript cannot support. The ICMJE Sending the Manuscript to the Journal guidelines identify several items that may need to appear in a cover letter or submission form, including redundant-publication information, conflicts of interest, authorship statements, corresponding-author information, relevant research-conduct concerns, and article type.

What is a journal cover letter?

The cover letter is a short communication to the editor accompanying the manuscript. Its content should be tailored to the journal and article type. Some journals use an online submission form instead of a traditional letter.

A practical cover-letter structure

1. Address the editor appropriately.

2. State the manuscript title and article type.

3. Give a concise description of the research question and main contribution.

4. Explain why the manuscript fits the journal's scope. To learn how to evaluate this alignment beforehand, review our guide on How to Read Journal Aims and Scope.

5. State relevant submission declarations.

6. Mention related manuscripts, prior submissions, or redundant-publication issues where applicable.

7. Mention required AI-use disclosure where applicable.

8. Close with corresponding-author contact information if the journal requires it.

What to say about journal fit

Focus on concrete scope alignment: topic, population, method, readership, or article type. Avoid generic claims such as 'your prestigious journal is the perfect home' unless you can explain the fit specifically.

What declarations may matter

ICMJE says the submission letter/form may need statements about previous reports or submissions that could represent redundant publication, financial or other relationships, authorship approval, the corresponding author, concerns about research conduct, and article type.

What not to put in a cover letter

Unsupported claims that the paper will transform the field.

Requests for favorable peer review.

Long literature reviews.

Information already requested elsewhere in the submission system unless the journal asks for it.

Confidential reviewer suggestions that conflict with journal policy.

Claims about indexing, impact factor, or acceptance likelihood that are not relevant to the editorial decision.

AI disclosure in the cover letter

Policies vary by journal. The official ICMJE AI Use by Authors recommendations state that authors who use AI-assisted technologies should describe their use in the cover letter and submitted work where applicable. For practical workflows on handling these standards, consult our breakdown on AI Manuscript Submission Policies. Always check the target journal's current AI policy as well.

Cover-letter checklist

□ Correct editor/journal.

□ Exact manuscript title.

□ Correct article type.

□ Brief and accurate contribution statement.

□ Specific journal-fit explanation.

□ Relevant declarations included.

□ Related or prior submissions disclosed where required.

□ AI-use disclosure handled according to policy.

□ No unsupported promotional claims.

Final takeaway

A good cover letter is concise, factual, and journal-specific. Its job is to provide the editor with useful submission context—not to substitute for the manuscript. Before finalizing your package, you can cross-reference your criteria with our Journal Quality Checklist and read the full Manuscript Submission Process Guide.

  • Manuscript Submission Process
  • How to Write an Academic Research Paper
  • Journal Quality Checklist
  • How to Read Journal Aims and Scope

Editorial note: Submission systems, journal requirements, and review workflows vary. Check the target journal's current author instructions immediately before submission.


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Reviewed by Umair Abbasi

AI Engineer & Data Scientist | PhD Candidate, Artificial Intelligence

Umair Abbasi is an AI Engineer and Data Scientist with a background in machine learning, AI agents, and MLOps, currently pursuing a PhD in Artificial Intelligence and holding a completed M.S. in Data Science. He leads the data architecture and tooling behind the journal metrics database and comparison tools. As an active researcher navigating journal selection and citation metrics in his own academic work, he brings a practitioner's perspective to how impact factor, CiteScore, and related metrics are actually used — not just how they're defined.

Credentials & Expertise:
- M.S., Data Science (completed) - PhD Candidate, Artificial Intelligence (in progress) - Machine Learning Specialization — Stanford University (Coursera) - Google Data Analytics Professional Certificate

This article is reviewed for accuracy on a rolling basis. Data on individual journal metrics changes annually with each Clarivate JCR release (typically June) and Scopus CiteScore update (typically June). See our Data Sources & Methodology page for sourcing details.

Written and reviewed by named authors Every page is bylined with real credentials, linked to ORCID or Google Scholar — no anonymous “Team” posts.
Every figure sourced and dated No metric is published without a visible primary source and a “last reviewed” date.