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Bibliometrics in operations research and management science: a university analysis

  • Sigifredo Laengle
  • José M. Merigó
  • Nikunja Mohan ModakEmail author
  • Jian-Bo Yang
S.I.: BALCOR-2017

Abstract

Many universities around the World have made important contributions in the field of operations research and management science. This article presents the most productive and influential universities between 1991 and 2015. For doing so, we use the Web of Science database in order to search for the information which is usually regarded as the most relevant for scientific research. The results show the country of origin of the leading universities being mainly from North America and Asia and especially from USA and China. The Centre National de la Recherche Scientifique (CNRS) of France is the most productive university while the Massachusetts Institute of Technology (MIT) of USA is the most influential one. The temporal evolution shows that USA is trailing its dominancy while China progressing quickly. The evaluation also reveals that Asian universities outperform North American universities during the last 5 years.

Keywords

Operations research and management science Bibliometrics Web of Science University analysis 

Notes

Acknowledgements

We would like to thank the editors and the anonymous reviewers for their valuable comments that have improved the quality of the paper. The corresponding author, Dr. N.M. Modak, is always grateful to Shri Bibhas Candra Das for giving endless encouragement and guidance.

References

  1. Altay, N., & Green, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175(1), 475–493.CrossRefGoogle Scholar
  2. Avkiran, N. K., & Alpert, K. (2015). The influence of co-authorship on article impact in OR/MS/OM and the exchange of knowledge with finance in the twenty-first century. Annals of Operations Research, 235(1), 51–73.CrossRefGoogle Scholar
  3. Bonilla, C. A., Merigó, J. M., & Torres-Abad, C. (2015). Economics in Latin America: A bibliometric analysis. Scientometrics, 105(2), 1239–1252.CrossRefGoogle Scholar
  4. Bornmann, L., & Daniel, H. D. (2005). Does the H-index for ranking of scientists really work? Scientometrics, 65(3), 391–392.CrossRefGoogle Scholar
  5. Brans, J. P., & Gallo, G. (2007). Ethics in OR/MS: past, present and future. Annals of Operations Research, 153(1), 165–178.CrossRefGoogle Scholar
  6. Broadus, R. N. (1987). Toward a definition of “Bibliometrics”. Scientometrics, 12, 373–379.CrossRefGoogle Scholar
  7. Cancino, C., Merigó, J. M., Coronado, F., Dessouky, Y., & Dessouky, M. (2017). Forty years of computers and industrial engineering: A bibliometric analysis. Computers & Industrial Engineering, 113, 614–629.CrossRefGoogle Scholar
  8. Corbett, C. J., & Van Wassenhove, L. N. (1993). The natural drift: What happened to operations research? Operations Research, 41(4), 625–640.CrossRefGoogle Scholar
  9. Daraio, C., Bonaccorsi, A., & Simar, L. (2015). Rankings and university performance: A conditional multidimensional approach. European Journal of Operational Research, 244, 918–930.CrossRefGoogle Scholar
  10. Evans, J. R. (1997). Creativity in OR/MS: The creative problem-solving process, Part 1. Interfaces, 27(5), 78–83.CrossRefGoogle Scholar
  11. Fahimnia, B., Sarkis, J., & Davarzani, H. (2015). Green supply chain management: A review and bibliometric analysis. International Journal of Production Economics, 162, 101–114.CrossRefGoogle Scholar
  12. Galindo, G., & Batta, R. (2013). Review of recent developments in OR/MS research in disaster operations management. European Journal of Operational Research, 230(2), 201–211.CrossRefGoogle Scholar
  13. González-Benito, J., Lannelongue, G., & Alfaro-Tanco, J. A. (2013). Study of supply-chain management in the automotive industry: A bibliometric analysis. International Journal of Production Research, 51(13), 3849–3863.CrossRefGoogle Scholar
  14. Hicks, D., Wouters, P., Waltman, L., De Rijcke, S., & Rafols, I. (2015). The Leiden manifesto for research metrics. Nature, 520(7548), 429.CrossRefGoogle Scholar
  15. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102, 16569–16572.CrossRefGoogle Scholar
  16. Laengle, S., Merigó, J. M., Miranda, J., Slowinski, R., Bomze, I., Borgonovo, E., et al. (2017). Forty years of the European Journal of Operational Research: A bibliometric overview. European Journal of Operational Research, 262, 803–816.CrossRefGoogle Scholar
  17. Lampe, H. W., & Hilgers, D. (2015). Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA. European Journal of Operational Research, 240, 1–21.CrossRefGoogle Scholar
  18. Landström, H., Harirchi, G., & Aström, F. (2012). Entrepreneurship: Exploring the knowledge base. Research Policy, 41(7), 1154–1181.CrossRefGoogle Scholar
  19. Leone, R. P., Robinson, L. M., Bragge, J., & Somervuori, O. (2012). A citation and profiling analysis of pricing research from 1980 to 2010. Journal of Business Research, 65(7), 1010–1024.CrossRefGoogle Scholar
  20. Lim, M. K., Bahr, W., & Leung, S. C. (2013). RFID in the warehouse: A literature analysis (1995–2010) of its applications, benefits, challenges and future trends. International Journal of Production Economics, 145(1), 409–430.CrossRefGoogle Scholar
  21. Liu, J. S., Lu, L. Y. Y., Lu, W. M., & Lin, B. J. Y. (2013). Data envelopment analysis 1978–2010: A citation-based literature survey. Omega—International Journal of Management Science, 41, 3–15.CrossRefGoogle Scholar
  22. Martínez-López, F. J., Merigó, J. M., Valenzuela, L., & Nicolás, C. (2018). Fifty years of the European Journal of Marketing: A bibliometric analysis. European Journal of Marketing, 52, 439–468.CrossRefGoogle Scholar
  23. Merigó, J. M., Cancino, C., Coronado, F., & Urbano, D. (2016). Academic research in innovation: A country analysis. Scientometrics, 108(2), 559–593.CrossRefGoogle Scholar
  24. Merigó, J. M., Gil-Lafuente, A. M., & Yager, R. R. (2015a). An overview of fuzzy research with bibliometric indicators. Applied Soft Computing, 27, 420–433.CrossRefGoogle Scholar
  25. Merigó, J. M., Mas-Tur, A., Roig-Tierno, N., & Ribeiro-Soriano, D. (2015b). A bibliometric overview of the Journal of Business Research between 1973 and 2014. Journal of Business Research, 68(12), 2645–2653.CrossRefGoogle Scholar
  26. Merigó, J. M., Pedrycz, W., Weber, R., & de la Sotta, C. (2018). Fifty years of Information Sciences: A bibliometric overview. Information Sciences, 432, 245–268.CrossRefGoogle Scholar
  27. Merigó, J. M., & Yang, J. B. (2017). A bibliometric analysis of operations research and management science. Omega—International Journal of Management Science, 73, 37–48.CrossRefGoogle Scholar
  28. Mingers, J. (2009). Measuring the research contribution of management academics using the Hirsch-index. Journal of the Operational Research Society, 60, 1143–1153.CrossRefGoogle Scholar
  29. Mingers, J., & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research, 246, 1–19.CrossRefGoogle Scholar
  30. Mingers, J., & Xu, F. (2011). The drivers of citations in management science journals. European Journal of Operational Research, 205, 422–430.CrossRefGoogle Scholar
  31. Mishra, D., Gunasekaran, A., Papadopoulos, T., & Childe, S. J. (2016). Big Data and supply chain management: A review and bibliometric analysis. Annals of Operations Research.  https://doi.org/10.1007/s10479-016-2236-y Google Scholar
  32. Narin, F. (1976). Evaluative bibliometrics: The use of publication and citation analysis in the evaluation of scientific activity. Washington D.C: National Science Foundation.Google Scholar
  33. Ormerod, R., & Kiossis, I. (1997). OR/MS publications: Extension of the analysis of U.S. flagship journals to the United Kingdom. Operations Research, 45(2), 178–187.CrossRefGoogle Scholar
  34. Pidd, M. (2004). Contemporary OR/MS in strategy development and policy-making: Some reflections. Journal of the Operational Research Society, 55(8), 791–800.CrossRefGoogle Scholar
  35. Podsakoff, P. M., MacKenzie, S. B., Podsakoff, N. P., & Bachrach, D. G. (2008). Scholarly influence in the field of management: A bibliometric analysis of the determinants of university and author impact in the management literature in the past quarter century. Journal of Management, 34, 641–720.CrossRefGoogle Scholar
  36. Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25, 348–349.Google Scholar
  37. Reisman, A., & Kirschnick, F. (1994). The devolution of OR/MS: Implications from a statistical content analysis of papers in flagship journals. Operations Research, 42(4), 577–588.CrossRefGoogle Scholar
  38. Rinia, E. J., van Leeuwen, Th N, van Vuren, H. G., & van Raan, A. F. J. (1998). Comparative analysis of a set of bibliometric indicators and central peer review criteria. Evaluation of condensed matter physics in the Netherlands. Research Policy, 27, 95–107.CrossRefGoogle Scholar
  39. Snyder, L. V., Atan, Z., Peng, P., Rong, Y., Schmitt, A. J., & Sinsoysal, B. (2016). OR/MS models for supply chain disruptions: A review. IIE Transactions, 48(2), 89–109.CrossRefGoogle Scholar
  40. Tsoukas, H., & Papoulias, D. B. (1996). Creativity in OR/MS: From technique to epistemology. Interfaces, 26(2), 73–79.CrossRefGoogle Scholar
  41. Tur-Porcar, A., Mas-Tur, A., Merigó, J. M., Roig-Tierno, N., & Watt, J. (2018). A bibliometric history of the Journal of Psychology between 1936 and 2015. Journal of Psychology, 152, 199–225.CrossRefGoogle Scholar
  42. Valenzuela, L., Merigó, J. M., Johnston, W., Nicolás, C., & Jaramillo, F. (2017). Thirty years of the Journal of Business and Industrial Marketing: A bibliometric analysis. Journal of Business and Industrial Marketing, 32, 1–18.CrossRefGoogle Scholar
  43. Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84, 523–538.CrossRefGoogle Scholar
  44. Van Raan, A. F. J. (1996). Advanced bibliometric methods as quantitative core of peer review based evaluation and foresight exercises. Scientometrics, 36, 397–420.CrossRefGoogle Scholar
  45. Van Raan, A. F. J. (2004). Measuring science. Capita selecta of current main issues. In H. F. Moed, W. Glänzel, & U. Schmoch (Eds.), Handbook of quantitative science and technology research (pp. 19–50). Dordrecht: Kluwer Publishers.CrossRefGoogle Scholar
  46. Van Raan, A. F. (2006). Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups. Scientometrics, 67(3), 491–502.CrossRefGoogle Scholar
  47. Wagstaff, A., & Culyer, A. J. (2012). Four decades of health economics through a bibliometric lens. Journal of Health Economics, 31(2), 406–439.CrossRefGoogle Scholar
  48. Waltman, L., & Van Eck, N. J. (2012). The inconsistency of the h-index. Journal of the Association for Information Science and Technology, 63(2), 406–415.Google Scholar
  49. Wang, W., Laengle, S., Merigó, J. M., Yu, D., Herrera-Viedma, E., Cobo, M. J., et al. (2018). A bibliometric analysis of the first twenty-five years of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 26, 169–193.CrossRefGoogle Scholar
  50. Wysocki, R. K. (1979). OR/MS implementation research: a bibliography. Interfaces, 9(2-part-1), 37–41.CrossRefGoogle Scholar
  51. Zhang, W., & Wilhelm, W. E. (2011). OR/MS decision support models for the specialty crops industry: A literature review. Annals of Operations Research, 190(1), 131–148.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Sigifredo Laengle
    • 1
  • José M. Merigó
    • 1
    • 2
  • Nikunja Mohan Modak
    • 3
    Email author
  • Jian-Bo Yang
    • 4
  1. 1.Department of Management Control and Information Systems, School of Economics and BusinessUniversity of ChileSantiagoChile
  2. 2.School of Systems, Management and Leadership, Faculty of Engineering and Information TechnologyUniversity of Technology SydneyUltimoAustralia
  3. 3.Palpara VidyamandirChakdahaIndia
  4. 4.Alliance Manchester Business SchoolThe University of ManchesterManchesterUK

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