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Towards a consolidation of worldwide journal rankings – A classification using random forests and aggregate rating via data envelopment analysis


  • Tüselmann, Heinz
  • Sinkovics, Rudolf R.
  • Pishchulov, Grigory


The question of how to assess research outputs published in journals is now a global concern for academics. Numerous journal ratings and rankings exist, some featuring perceptual and peer-review-based journal ranks, some focusing on objective information related to citations, some using a combination of the two. This research consolidates existing journal rankings into an up-to-date and comprehensive list. Existing approaches to determining journal rankings are significantly advanced with the application of a new classification approach, ‘random forests’, and data envelopment analysis. As a result, a fresh look at a publication׳s place in the global research community is offered. While our approach is applicable to all management and business journals, we specifically exemplify the relative position of ‘operations research, management science, production and operations management’ journals within the broader management field, as well as within their own subject domain.

Suggested Citation

  • Tüselmann, Heinz & Sinkovics, Rudolf R. & Pishchulov, Grigory, 2015. "Towards a consolidation of worldwide journal rankings – A classification using random forests and aggregate rating via data envelopment analysis," Omega, Elsevier, vol. 51(C), pages 11-23.
  • Handle: RePEc:eee:jomega:v:51:y:2015:i:c:p:11-23
    DOI: 10.1016/

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    Cited by:

    1. Merigó, José M. & Yang, Jian-Bo, 2017. "A bibliometric analysis of operations research and management science," Omega, Elsevier, vol. 73(C), pages 37-48.
    2. Rosenthal, Edward C. & Weiss, Howard J., 2017. "A data envelopment analysis approach for ranking journals," Omega, Elsevier, vol. 70(C), pages 135-147.
    3. Ryazanova, Olga & McNamara, Peter & Aguinis, Herman, 2017. "Research performance as a quality signal in international labor markets: Visibility of business schools worldwide through a global research performance system," Journal of World Business, Elsevier, vol. 52(6), pages 831-841.
    4. Li, Zongmin & Xu, Jiuping & Lev, Benjamin & Gang, Jun, 2015. "Multi-criteria group individual research output evaluation based on context-free grammar judgments with assessing attitude," Omega, Elsevier, vol. 57(PB), pages 282-293.
    5. Ghulam, Yaseen & Jaffry, Shabbar, 2015. "Efficiency and productivity of the cement industry: Pakistani experience of deregulation and privatisation," Omega, Elsevier, vol. 54(C), pages 101-115.
    6. Rialp, Alex & Merigó, José M. & Cancino, Christian A. & Urbano, David, 2019. "Twenty-five years (1992–2016) of the International Business Review: A bibliometric overview," International Business Review, Elsevier, vol. 28(6), pages 1-1.
    7. Sahoo, Biresh K. & Singh, Ramadhar & Mishra, Bineet & Sankaran, Krithiga, 2017. "Research productivity in management schools of India during 1968-2015: A directional benefit-of-doubt model analysis," Omega, Elsevier, vol. 66(PA), pages 118-139.


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