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Reviewer.ly OJS Plugin

Reviewer.ly’s custom Open Journal Systems (OJS) plugin helps you find and add relevant reviewers in just one click.

Simplify your OJS submission flow

The plugin designed to help you browse and select relevant reviewers comes equipped with several features to enhance your workflow efficiency:

AI-driven recommendation engine suggests potential authors based on alignment of their work with the submitted article.

Detailed profiles for each author, including publications and areas of research.

Collaboration history to gauge the author’s experience and suitability as a reviewer.

Quick selection tool adds the author to your “Select Reviewer” step and pre-populates the form.

Frequently Asked Questions

How long does installation take, and who needs to be involved?

Installation typically takes just a few minutes and requires no major technical work. In most cases, a site administrator or anyone with access to your OJS plugin settings can install it directly through the OJS dashboard.

What happens if we run into issues? Is there support available?

Yes, Reviewer.ly offers responsive support. If you run into any issues during setup or use, our team is available to troubleshoot and walk you through the process.

What information is available in author profiles?

Author profiles include details such as areas of research, publication history, and co-authorship networks, providing editors with the context they need to assess the suitability of recommended reviewers.

How does the plugin determine which reviewers to suggest?

The plugin uses an AI-powered recommendation engine that analyzes the submission to identify potential reviewers whose published work closely aligns with the topic.

How does Reviewer.ly ensure its data is accurate and up to date?

Reviewer.ly’s reviewer database is continuously updated using reliable and trusted public research sources to ensure accuracy and timeliness.

Can we filter out conflicts of interest?

Yes. Reviewer.ly automatically filters out individuals with known conflicts of interest, such as co-authors or recent collaborators. Each suggested reviewer includes collaboration network details, so editors can make informed decisions.

Does it work for all disciplines, including niche or interdisciplinary fields?

Yes. Because Reviewer.ly draws on vast and diverse research datasets, covering over 250 million works and 100 million authors, it can surface relevant reviewers across a wide range of disciplines, including niche and interdisciplinary areas.

How does it integrate with our current editorial process?

Reviewer.ly integrates directly into your existing Open Journal Systems (OJS) workflow, appearing as an option within the “Add Reviewer” pop-up screen. Editors can access reviewer recommendations with a single click, no need to leave the platform or switch tools. The plugin is designed to complement, not replace, your editorial judgment: recommendations are presented alongside publication and collaboration information, with links to full reviewer profiles.

What data does Reviewer.ly access from our submissions?

Reviewer.ly accesses only the data necessary to generate reviewer suggestions, typically the title, abstract, and keywords in the submission. No sensitive or identifiable author or reviewer data is accessed, stored or shared.

Is it compatible with all versions of OJS?

Reviewer.ly’s plugin is compatible with OJS 3.2, 3.3 and 3.4.

Get started with Reviewer.ly