Evaluating OR/MS journals via PageRank

Zhou Xu, Brenda Cheang, Andrew Lim, Qi Wen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

21 Citations (Scopus)

Abstract

Scholars, practitioners, and students in operations research and management science (OR/MS) often hesitate to use traditional approaches to evaluate journal quality because of the inconsistency of these approaches to perceptions and other associated biases. We introduce an alternative approach, which is based on Google's PageRank, to evaluate 31 OR/MS journals. This approach enhances the impact factor method by considering both citation quantity and quality. When we apply our method to OR/MS journals, the results match survey opinions and significantly outperform rankings based on impact factors. In addition, we provide an extensive discussion of other methods that have been used to assess journal quality. Compared to these methods, our method is better able to discern quality differences for journals that are perceived to be of relatively higher quality. Most importantly, we integrate our method into a Web-based journal-ranking system.
Original languageEnglish
Pages (from-to)375-388
Number of pages14
JournalInterfaces
Volume41
Issue number4
DOIs
Publication statusPublished - 1 Jul 2011

Keywords

  • Communications
  • Journal quality
  • OR/MS education
  • Professional

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Strategy and Management
  • Management Science and Operations Research

Fingerprint

Dive into the research topics of 'Evaluating OR/MS journals via PageRank'. Together they form a unique fingerprint.

Cite this