Reviewer Recommender

Latest Version

Version
3.0.10
Update
August 3, 2020
Size
2.5MiB
Developer
Category
Users
211
Rating
4.5 ★
Manifest Version
2
Web Store Status
Languages Support
English
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Permissions
ActiveTab
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Reviewer Recommender Extension

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。
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Source Manifest.json

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User reviews

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Debing Liu (ID: 00000098fcb78d24) Voted 5 ★ - Updated 08/18/2017 有用,找到合适的审稿人真不容易,这个给了我很多备选。

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Jie Tang (ID: 000000440ac35c9f) Voted 5 ★ - Updated 09/01/2015 Very useful. Combining with Scholar One, the user easily get recommended reviewers for each paper in Scholar One. A great tool for journal editors.