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Using the Leiden Rankings as a Heuristics: Evidence from Italian universities in the European landscape

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  • Cinzia Daraio
  • Simone Di Leo
  • Loet Leydesdorff

Abstract

We propose an innovative use of the information provided by the Leiden Rankings (LR). Although LR only consider research output of major universities reported in Web of Science, statistical analysis of LRs combined with network mapping can reveal the complexity of research performance measurement. Yet, one can identify ''outlying'' institutions that perform significantly below or above expectations; these can be further analyzed using case studies. Outliers can inform and guide science policies about alternative options. Analyzing the case of the Politecnico di Bari, we observe that ''small teams'' led by young and promising scholars can push the performance of a university up to the top of the LR. Supporting ''emerging teams'', as argued by Moed (2017), can thus be an alternative to research support policies, adopted to encourage virtuous behaviors and best practices in research.

Suggested Citation

  • Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2022. "Using the Leiden Rankings as a Heuristics: Evidence from Italian universities in the European landscape," LEM Papers Series 2022/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    • Handle: RePEc:ssa:lemwps:2022/08
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    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    2. Ludo Waltman & Clara Calero‐Medina & Joost Kosten & Ed C.M. Noyons & Robert J.W. Tijssen & Nees Jan van Eck & Thed N. van Leeuwen & Anthony F.J. van Raan & Martijn S. Visser & Paul Wouters, 2012. "The Leiden ranking 2011/2012: Data collection, indicators, and interpretation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(12), pages 2419-2432, December.
    3. Joshua Ettinger & Friederike E. L. Otto & E. Lisa F. Schipper, 2021. "Storytelling can be a powerful tool for science," Nature, Nature, vol. 589(7842), pages 352-352, January.
    4. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Rankings and university performance: A conditional multidimensional approach," European Journal of Operational Research, Elsevier, vol. 244(3), pages 918-930.
    5. Cinzia Daraio & Andrea Bonaccorsi, 2017. "Beyond university rankings? Generating new indicators on universities by linking data in open platforms," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(2), pages 508-529, February.
    6. Bornmann, Lutz & Leydesdorff, Loet & Mutz, Rüdiger, 2013. "The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits," Journal of Informetrics, Elsevier, vol. 7(1), pages 158-165.
    7. Olcay, Gokcen Arkali & Bulu, Melih, 2017. "Is measuring the knowledge creation of universities possible?: A review of university rankings," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 153-160.
    8. Marlo M Vernon & E Andrew Balas & Shaher Momani, 2018. "Are university rankings useful to improve research? A systematic review," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-15, March.
    9. John P. A. Ioannidis, 2011. "Fund people not projects," Nature, Nature, vol. 477(7366), pages 529-531, September.
    10. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    11. Mitcham, Carl & Emeritus,, 2021. "Science policy and democracy," Technology in Society, Elsevier, vol. 67(C).
    12. Shouhuai Xu & Moti Yung & Jingguo Wang, 2021. "Seeking Foundations for the Science of Cyber Security," Information Systems Frontiers, Springer, vol. 23(2), pages 263-267, April.
    13. Loet Leydesdorff & Lutz Bornmann, 2012. "Testing differences statistically with the Leiden ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 781-783, September.
    14. Ludo Waltman & Clara Calero-Medina & Joost Kosten & Ed C.M. Noyons & Robert J.W. Tijssen & Nees Jan Eck & Thed N. Leeuwen & Anthony F.J. Raan & Martijn S. Visser & Paul Wouters, 2012. "The Leiden ranking 2011/2012: Data collection, indicators, and interpretation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2419-2432, December.
    15. Cinzia Daraio & Alessio Vaccari, 2020. "Using normative ethics for building a good evaluation of research practices: towards the assessment of researcher’s virtues," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1053-1075, November.
    16. Lingfei Wu & Dashun Wang & James A. Evans, 2019. "Large teams develop and small teams disrupt science and technology," Nature, Nature, vol. 566(7744), pages 378-382, February.
    17. Schneider, Jesper W., 2013. "Caveats for using statistical significance tests in research assessments," Journal of Informetrics, Elsevier, vol. 7(1), pages 50-62.
    18. Henk F. Moed & Gali Halevi, 2015. "Multidimensional assessment of scholarly research impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 1988-2002, October.
    19. Renato Bruni & Giuseppe Catalano & Cinzia Daraio & Martina Gregori & Henk F. Moed, 2020. "Studying the heterogeneity of European higher education institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1117-1144, November.
    20. Abramo, Giovanni & D’Angelo, Andrea Ciriaco & Grilli, Leonardo, 2016. "From rankings to funnel plots: The question of accounting for uncertainty when assessing university research performance," Journal of Informetrics, Elsevier, vol. 10(3), pages 854-862.
    21. Henk F. Moed, 2017. "A critical comparative analysis of five world university rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 967-990, February.
    22. Shalabh, 2021. "Statistical inference via data science," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1155-1155, July.
    23. Abhay S. D. Rajput & Sangeeta Sharma, 2021. "India: draft science policy calls for public engagement," Nature, Nature, vol. 592(7852), pages 26-26, April.
    24. Lisa Mandle & Analisa Shields-Estrada & Rebecca Chaplin-Kramer & Matthew G. E. Mitchell & Leah L. Bremer & Jesse D. Gourevitch & Peter Hawthorne & Justin A. Johnson & Brian E. Robinson & Jeffrey R. Sm, 2021. "Increasing decision relevance of ecosystem service science," Nature Sustainability, Nature, vol. 4(2), pages 161-169, February.
    25. Jean J. Wang & Sarah X. Shao & Fred Y. Ye, 2021. "Identifying 'seed' papers in sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6001-6011, July.
    26. Colliander, Cristian & Ahlgren, Per, 2011. "The effects and their stability of field normalization baseline on relative performance with respect to citation impact: A case study of 20 natural science departments," Journal of Informetrics, Elsevier, vol. 5(1), pages 101-113.
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    Keywords

    University rankings; Leiden Rankings; Italian universities; best research practices; Politecnico di Bari; case study; emerging groups.;
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