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OR/MS journals evaluation based on a refined PageRank method: an updated and more comprehensive review

Author

Listed:
  • Brenda Cheang

    (Nanjing University
    University of Hong Kong)

  • Samuel Kai Wah Chu

    (University of Hong Kong)

  • Chongshou Li

    (City University of Hong Kong)

  • Andrew Lim

    (Nanjing University)

Abstract

The purpose of this research is to furnish the OR/MS research community with an updated assessment of the discipline’s journals set with refinements that also highlight the various characteristics of OR/MS journals. More specifically, we apply a refined PageRank method initially proposed by Xu et al. (2011) to evaluate the top 31 OR/MS journals for 2010, and report our findings. We also report the shifts in the rankings that span 5 years, from 2006 to 2010. We observe that Manufacturing and Service Operations Management, indexed by the SCI only in 2008, is a specialized journal that is consistently highly regarded within the discipline. The rankings also suggest that Management Science is more established as a generalized journal as it has more external impact. In general, our ranking results correlate with expert opinions, and we also observe, report and discuss some interesting patterns that have emerged over the past 5 years from 2006 to 2010.

Suggested Citation

  • Brenda Cheang & Samuel Kai Wah Chu & Chongshou Li & Andrew Lim, 2014. "OR/MS journals evaluation based on a refined PageRank method: an updated and more comprehensive review," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 339-361, August.
    • Handle: RePEc:spr:scient:v:100:y:2014:i:2:d:10.1007_s11192-014-1272-0
    DOI: 10.1007/s11192-014-1272-0
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    References listed on IDEAS

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    Cited by:

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    3. Dengsheng Wu & Yongjia Xie & Qianzhi Dai & Jianping Li, 2016. "A Systematic Overview of Operations Research/Management Science Research in Mainland China: Bibliometric Analysis of the Period 2001–2013," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(06), pages 1-26, December.
    4. Zhang, Baolong & Wang, Hao & Deng, Sanhong & Su, Xinning, 2020. "Measurement and analysis of Chinese journal discriminative capacity," Journal of Informetrics, Elsevier, vol. 14(1).
    5. Liao, Huchang & Tang, Ming & Li, Zongmin & Lev, Benjamin, 2019. "Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on Essential Science Indicators," Omega, Elsevier, vol. 88(C), pages 223-236.
    6. Romero-Silva, Rodrigo & de Leeuw, Sander, 2021. "Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews," Omega, Elsevier, vol. 100(C).
    7. Brenda Cheang & Chongshou Li & Andrew Lim & Zhenzhen Zhang, 2015. "Identifying patterns and structural influences in the scientific communication of business knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 159-189, April.
    8. Laura Vana & Ronald Hochreiter & Kurt Hornik, 2016. "Computing a journal meta-ranking using paired comparisons and adaptive lasso estimators," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 229-251, January.

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