Reviewer Recommender

A Chrome extension for ScholarOne that provides intelligent reviewer recommendations using Aminer's comprehensive academic data.

Visit Site

AI Research Tool AI Research Papers AI Assistant

About Reviewer Recommender

The Reviewer Recommender is an advanced research tool developed by the Knowledge Engineering Group at Tsinghua University. This Chrome Extension seamlessly integrates with the ScholarOne Reviewer System to automatically extract manuscript details and leverage Aminer's vast academic database. It then suggests the most suitable reviewers based on their expertise and publication records, streamlining the peer review process and enhancing review quality.

How to Use

Install the Reviewer Recommender Chrome Extension and connect it with the ScholarOne Reviewer System. It will automatically extract manuscript details and utilize Aminer's database to suggest appropriate reviewers, simplifying your review assignment process.

Features

Utilizes Aminer's extensive academic data for accurate reviewer suggestions

Seamless integration with ScholarOne peer review platform

Automates extraction of manuscript and author information

Use Cases

Identifying ideal reviewers for submitted research papers

Streamlining peer review workflow for academic journals

Assisting conference organizers in reviewer selection

Supporting editors in managing peer review processes

Best For

Academic journal editorsResearch institutionsConference organizersResearch authorsPeer review administrators

Pros

Leverages Aminer's comprehensive academic database for precise recommendations

Integrates directly into the ScholarOne review system for efficiency

Reduces time spent on reviewer selection

Automates key steps in the peer review process

Cons

Dependent on the accuracy and completeness of Aminer's data

Requires ScholarOne system compatibility

May occasionally suggest less optimal reviewers due to data limitations

Frequently Asked Questions

Find answers to common questions about Reviewer Recommender

What is the Reviewer Recommender extension?

It is a Chrome Extension developed by KEG at Tsinghua University that recommends suitable reviewers for research papers submitted via ScholarOne, based on Aminer's academic data.

How does the Reviewer Recommender work?

It automatically pulls manuscript details from ScholarOne and uses Aminer's database to identify reviewers with relevant expertise and publication history.

Is the extension compatible with all peer review platforms?

No, it is specifically designed to work with the ScholarOne Reviewer System.

What are the main benefits of using this extension?

It improves reviewer matching accuracy, saves time, and streamlines the peer review workflow.

Are there any limitations I should be aware of?

Yes, its effectiveness depends on the quality of data in Aminer, and it requires integration with ScholarOne.