Exploring Citations for Conflict of Interest Detection in Peer-review System

  • Muhammad Salman Khan

Research output: Contribution to journalArticle

Abstract

Peer review in scientific communications plays an important role in the advancement of any given field of study.
However, different sorts of conflict of interest (COI) situations between authors and reviewers can compromise the review decision. Current COI detection systems primarily rely on
co-authors networks, inferred from publicly available bibliographic databases as an implicit measure of collaborative and social relationships between researchers. However, different
citations relationships have also been claimed to be indicative of various social and cognitive relationships between authors. This can be useful to identify those hidden relationships that can not
be handled by traditional systems. This paper is an effort in the direction where we investigate to find any pattern in citations that can predict existence or non-existence of social relationships.
It also explores citations relationships as a potential indicator of different types of cognitive relationships between researchers.
Original languageEnglish
Pages (from-to)283-299
JournalInternational Journal of Computer Information Systems and Industrial Management Applications
Volume4
Publication statusPublished - 2012

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Application

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