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Reviewer Recommender is a research paper reviewer recommendation system developed by the Knowledge Engineering Group (KEG) at Tsinghua University. This Chrome extension functions within the ScholarOne Reviewer System, automatically extracting paper information and recommending suitable reviewers by utilizing academic big data from Aminer (https://aminer.org/).
Reviewer Recommender is a Chrome extension designed for the ScholarOne Reviewer System. After installation, it automatically extracts paper data from the ScholarOne platform and leverages Aminer's database to suggest appropriate reviewers.
Reviewer Recommender is a Chrome extension created by the Knowledge Engineering Group (KEG) at Tsinghua University. It helps identify potential reviewers for research papers submitted through ScholarOne by utilizing academic data from Aminer.
The extension automatically extracts paper information from the ScholarOne system and uses the Aminer database to suggest relevant reviewers based on their expertise and publication history.
Free plan available.
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