Reviewer Recommender
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Reviewer Recommender

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4.3(

3 ratings

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Overview

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。

4.3 out of 53 ratings

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Jie TangAug 31, 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.

Details

  • Version
    3.0.10
  • Updated
    August 4, 2020
  • Offered by
    aminer-reviewer
  • Size
    2.5MiB
  • Languages
    English
  • Developer
    Email
    xieyuntong2000@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

The developer has not provided any information about the collection or usage of your data.

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