Faster peer review with intelligent reviewer matching

DeSci Reviewer Finder is an AI-driven reviewer matching tool built for journal editors and funding agencies. Instantly surface the most qualified, conflict-free referees, and see why they are suggested. Save time, improve review quality, and make better decisions.

“75% of editors say that ‘finding referees is the hardest part of their job”

Publons, 2018

Peer Review Reviewer Finder

Reviewer matching tool built for journal editors and funding agencies. Instantly surface the most qualified, conflict-free referees, and see why they are suggested.

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AI that understands manuscripts

Our AI calculates research papers’ content and context novelty scores, helping you quickly assess how original a manuscript is compared to existing literature.

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Save time and reduce editorial workload

Instantly generate expert reviewer suggestions, cut hours of manual searching, and focus on content and decision-making.

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Automatic conflict of interest checks

Our algorithm analyzes each submission, identifies key references, and recommends conflict-free reviewers based on authorship of closely related, recent peer-reviewed papers

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Seamless integration with your workflow

Use DeSci Reviewer Finder alongside your existing editorial systems. No extra setup, just fast, intelligent referee suggestions when you need them.

Save 10–50 Hours a Year -And $200-$2,000 of Busywork

30+ min saved per manuscript
20–100 manuscripts/ year
10–50 hours/year saved
~$200–$2,000/year in opportunity cost*
30+ min saved per manuscript
Each search saves ~$10 -  we charge $1
Try it for free

What You Can Do with DeSci Reviewer Finder

Vast, trusted dataset

Recommendations are powered by an AI trained on over 250 million papers and 90 million unique author profiles.

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Conflict of interest checks

Automatically flags recent co-authors, same institutions, and supervisor relationships. Editors retain full control to exclude reviewers and avoid bias.

Rich referee insights

See detailed profiles for each suggested reviewers, including relevant publications, expertise, and seniority. Editors get the context they need to make informed, confident choices.

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Novelty scores and related work

Each submission receives AI-calculated content and context novelty scores, helping editors quickly assess how original the work is and where it fits within the field - plus, instant links to closely related, recently published research.

Reviewer Quality Guaranteed

Our system identifies subject-matter and method experts who have recently published closely related work in peer-reviewed journals or whose research is directly referenced by the submission. Built-in conflict checks flag co-authors, institutional overlaps, and past supervisor-supervisees relationships. Editors retain full control, with access to author profiles, relevant publications, and indicators of reviewer seniority to support informed, confident decisions.

DeSci Reviewer Finder vs Traditional Methods

Find out how DeSci Reviewer Finder makes reviewer selection faster, smarter, and more reliable.

DeSci Reviewer Finder

Traditional Methods

Editor Expertise
Provides instant, accurate insights, freeing editors to focus on informed decisions.
Depends on the editor’s expertise or field knowledge.
Finding Reviewers
Automatically identifies topic and method experts based on closely related peer-reviewed publications.
Manual, time-consuming search via references, citations or personal network.
Conflict of Interest Checks
Built-in conflict checks flag recent co-authors, same institution, and supervisor/supervisees links.
Often manual or overlooked, leading to bias or ethical issues.
Reviewer Network
Recommends new, highly relevant experts with no over-reliance on existing networks.
Trusted referees reused frequently, even if not ideal for the specific paper.
Transparency
Editors receive reviewer profiles, related publications, and seniority insights.
Limited visibility into referee relevance or relationship to the work.
Efficiency
Instant suggestions that save time and boost acceptance.
Hours of manual work, with high rates of declined invitations.
Outcome Quality
Better-matched reviewers enhance review quality and publication standards.
Reviews may lack depth or expertise; publication quality suffers.

Frequently Asked Questions

What is DeSci Reviewer Finder?

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DeSci Reviewer Finder is an AI-powered tool that helps journal editors and research funders quickly identify qualified and conflict-free reviewers for scientific manuscripts or grant applications. It analyzes the submitted document, extracts key metadata (such as title, abstract, references, and authors), and utilizes OpenAlex to identify the most relevant experts. The tool also performs conflict-of-interest checks and provides novelty scores for manuscripts to support editorial decisions.

How does the Reviewer Finder work?

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DeSci Reviwer Finder analyzes the manuscript or grant application you upload by extracting key metadata. It then uses OpenAlex to identify the most semantically related scientific publications from the past five years. From these, it extracts the authors of key references and related papers to build a pool of potential reviewers. Finally, it runs conflict-of-interest checks to exclude reviewers who have recently co-authored with the submitting authors, are from the same institution, or have had a supervisory relationship. The result is a prioritized list of qualified, conflict-free referee suggestions, along with a novelty score for the uploaded document to support editorial decision-making.

How are uploaded manuscripts or grant applications handled?

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They are only stored on our servers internally. We are not sharing uploaded documents with third parties or the public. Uploaded documents are deleted 24 hours after the user last ran an analysis for that document. 

What measures are in place for the confidentiality and security of uploaded files and generated suggestions?

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We delete the uploaded documents from our servers within 24 hours. We only keep the extracted meta-data of these documents (e.g., author names, title, abstract) and the results of the analysis we conducted to enable users to look up the results of their referee suggestions later. Only DeSci Labs and the user will have access to that information. We're using cloud servers from Microsoft Azure or AWS to store and process the uploaded manuscripts. 

Will any data from uploaded manuscripts or grant applications be used for purposes other than generating referee suggestions (e.g., model improvement, analytics)?

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No, uploaded data is used solely for generating referee suggestions and not for any other purposes.

What data sources are used for analyses?

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All analyses are performed exclusively using the OpenAlex dataset.

Can users request the deletion of their data?

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Yes, please contact our support team through the in-app chat or email us at info@desci.com. We aim to respond within 1–2 business days.

Is there a free version available?

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Yes, we offer a Free plan for editors and funders with a small workload. It includes 10 AI Research Chats, 2 reviewer searches and novelty analyses per month, and unlimited access to research quality indicators.

Can I pay monthly or annually?

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Yes, you can choose between monthly and annual billing. Discounts may apply to annual subscriptions.

Can I cancel or change my plan anytime?

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Yes, you can upgrade, downgrade, or cancel your plan at any time from your account settings.

What happens if I exceed my plan’s monthly limits?

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If you go over your monthly quota of reviewer searches, you can purchase additional ones as needed. Extra reviewer searches cost $2.50 each if you're on the Free or Starter plan, and just $0.90 each if you're on the Pro plan. This allows you to stay flexible without needing to upgrade immediately.