Reviewer Recommendations

This service suggests candidate reviewers for scientific manuscripts based on semantic similarity to articles published by other authors in the field. It automatically screens for potential conflicts of interest, provides contact information and generates compelling reviewer invitations that explain why the individuals might be interested in reviewing the submitted article from past publications. The tool allows editors and publishers overcome selection biases and significantly expand reviewer pool beyond those researchers that may be known to the editor by reaching out to scientists all over the world.

  • Identify candidate reviewers based on semantic similarity
  • Filter candidates from keywords, vocabularies and journals
  • Summarize related literature with title and abstract
  • Screen for conflicts of interest from institutions and journals
  • Find contact information based on author’s name and institution
  • Create compelling invitations from past publications
  • Ensures consistency and thoroughness
  • Reduces editor/reviewer time and effort
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