Investigating Impact Features in Editorial Pre-Screening of Research Papers

Abstract

Editorial pre-screening is the first step in academic peer review. The deluge of research papers and the huge amount of submissions being made to journals these days makes editorial decision a very challenging task. The current work attempts to investigate certain impact factors that may have a role in the editorial decision making process. The proposed work exhibits potential for the development of an AI-assisted peer review system which could aid the editors as well as the authors in making appropriate decisions in reasonable time and thus accelerate the overall process of scholarly publishing.

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