Evaluating OR/MS Journals via PageRank

  • Authors:

  • Zhou Xu;Brenda Cheang;Andrew Lim;Qi Wen

  • Affiliations:

  • Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;School of Management, Huazhong University of Science and Technology, 430074 Wuhan, China;Department of Management Sciences, The City University of Hong Kong, Kowloon Tong, Hong Kong;Department of Management Sciences, The City University of Hong Kong, Kowloon Tong, Hong Kong

  • Venue:
  • Interfaces
  • Year:
  • 2011

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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.