For Journals & Publishers

Your own pool
of engaged peer reviewers

Stop over-burdening the same pool of experts. ReviewerOne connects you to a pre-vetted, ethically trained, geographically diverse community of reviewers.

publishers / j. applied methods
Editorial Console
Acceptance rate
94%
↑ from 24%
Turnaround
11.4d
↓ 38% YoY
Geo diversity
47 ctry
↑ from 12
AO
Dr. Adaeze Okafor
Lagos · clinical methods · L3
94% match
SK
Dr. Sara Karim
Karachi · trials · L3
88% match
LM
Dr. Luis Mendes
São Paulo · statistics · L3
82% match
The state of peer review

Managing peer review
is a challenge

Burgeoning submission volumes
Growing ethical concerns & AI-generated content
Increase in reviewer decline rate
Inactive legacy reviewer databases
The problem

Editorial teams spend
more time finding reviewers
than managing quality.

30 invitations → 2 acceptances.

The acceptance funnel keeps narrowing.

Reviewer fatigue is constant.

Your best reviewers are burning out.

Whoever responds, not who fits.

Review quality depends on availability, not expertise match.

Databases, overused and dormant.

Legacy reviewer lists become inactive faster than they're refreshed.

Rising integrity threats.

Reviewers urgently need robust integrity support tools.

AI complicates every stage.

From submission to decision, AI introduces new risks.

This is an infrastructure problem.
The ReviewerOne approach

ReviewerOne addresses
real challenges in peer review.

A single system designed for peer-review efficiency, reviewer training, engagement, and discovery.

Reviewer matching

Find the right reviewer.
Not just an available one.

Our AI analyzes your manuscript to extract keywords and research concepts. It then searches databases to identify the best suited reviewers.

You see the full picture before sending an invite.

AO
Dr. Adaeze Okafor
Lagos · clinical methods
Relevance 94%
Pubs · 38
Cites · 1.2k
Reviews · 142
Avail. · 14 d
No CoI Subject ✓
SK
Dr. Sara Karim
Karachi · trials
Relevance 88%
Pubs · 24
Cites · 880
Reviews · 96
Avail. · 21 d
CoI flagged Co-author '21
LM
Dr. Luis Mendes
São Paulo · statistics
Relevance 82%
Pubs · 52
Cites · 2.1k
Reviews · 188
Avail. · 7 d
No CoI Retract: 0
RK
Dr. Rohit Khanna
Bengaluru · genomics
Relevance 79%
Pubs · 21
Cites · 540
Reviews · 64
Avail. · 30 d
No CoI Early-career
← Scroll to compare candidates →
— CONFLICT-OF-INTEREST SCREENING

Screen for conflicts
before you shortlist.

Conflict-of-interest checks run even before reviewers appear in your shortlist. We flag potential conflicts. You see the big picture before choosing a reviewer.

Check 01
Co-authorship history
Recency-weighted, last 5 years.
Check 02
Institutional overlap
Past and present affiliations.
Check 03
Country-level association
Disclosable funding ties.
Check 04
Citation patterns
Reciprocal and community links.
!
Karim ↔ corresponding author · co-authored 2 papers in 2021. Flagged.
A reviewer community

Not just an email list
or a database. A thriving community.

— 01 / Trained

Trained reviewers

Structured learning modules through the Reviewer Academy.

Visit the Academy
— 02 / Recognized

Recognized contributors

Reputation and certification that drive reviewer engagement and visibility.

See Recognition
— 03 / Engaged

Active and engaged

Reviewers who are motivated to respond and complete reviews.

Visit the Community
Better engagement → faster turnaround and more robust reviews
Insights about your reviewer pool

Your own
reviewer pool dashboard.

Understand your reviewer community in real time.

  • Filter by subject, geography, activity, and more
  • Identify gaps in coverage and diversity
  • Track active and inactive reviewers
  • Identify reviewers who are available, suitable and trained
pool insights / clinical-research
Filter L3+
Active
412
Coverage gaps
3
Geo regions
47
Active reviewer distribution
By subspecialty
CardioOncTrialsStatsPub.HBio-ethPharmaGenom
For publishers

See ReviewerOne
in action.

We'll walk you through the ecosystem — reviewer matching, dashboards, the AI Review Assistant, the Academy, and the Community.