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。
You can Follow the below Step By Step procedure to install the Reviewer Recommender Chrome Extension to your Chrome Web browser.
It is the Reviewer Recommender Chrome extension download link you can download and install Chrome Browser.
This extensions tightly integrates BibSonomy with your browser.
This extension works off Google Scholar result pages, allowing the user to view abstracts or other machine generated summaries.
Find single citations using the context menu.