Reviewer Recommender
Chrome extension for ScholarOne that recommends reviewers based on Aminer's academic data.
Reviewer Recommender Introduction
What is Reviewer Recommender?
Reviewer Recommender is a research paper reviewer recommendation system developed by Knowledge Engineering Group (KEG), Tsinghua University. It is a Chrome Extension which works on ScholarOne Reviewer System. It can automatically extract paper information, and recommend proper reviewers based on academic big data from Aminer (https://aminer.org/). Reviewer Recommender是清华大学计算机科学与技术系知识工程实验室（KEG）开发的国际学术论文评审专家推荐系统插件。该插件在学术论文审稿常用平台ScholarOne系统上开发，能通过网页自动提取论文内容及作者信息，基于Aminer系统（https://aminer.org/）海量学术专家数据，为每篇论文推荐最合适的审稿人。
How to use Reviewer Recommender?
The Reviewer Recommender is a Chrome Extension that integrates with the ScholarOne Reviewer System. Once installed, it automatically extracts paper information from the ScholarOne platform and uses data from Aminer to suggest suitable reviewers.
Why Choose Reviewer Recommender?
Choosing this is perfect if you need help finding the best reviewers for your work or product, ensuring you get honest and valuable feedback to improve.
Reviewer Recommender Features
AI Research Papers
- ✓Automatic paper information extraction from ScholarOne
- ✓Reviewer recommendation based on Aminer's academic big data
- ✓Chrome Extension integration with ScholarOne
FAQ?
Pricing
Pricing information not available
