The tool ranks the reputation of peer reviewers based on the number of citations attracted by the studies they reviewed, aiding in the identification of high-impact papers during peer review.
Imaginary reviewers were created using an algorithm trained on APS data to rate papers; those giving high scores to papers attracting many citations were ranked highly.
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