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Explaining the transatlantic gap in research excellence

Author

Listed:
  • Andrea Bonaccorsi

    () (University of Pisa
    IRVAPP-FBK, Istituto per la Ricerca Valutativa sulle Politiche Pubbliche)

  • Tindaro Cicero

    (Italian Agency for the Evaluation of Universities and Research Institutes ANVUR)

  • Peter Haddawy

    (Mahidol University)

  • Saeed-UL Hassan

    (Information Technology University of the Punjab)

Abstract

Abstract The paper exploits a newly created dataset offering several detailed bibliometric data and indicators on 251 subject categories for a large sample of universities in Europe, North America and Asia. In particular, it addresses the controversial issue of the distance between Europe and USA in research excellence (so called “transatlantic gap”). By building up indicators of objective excellence (top 10% worldwide in publications and citations) and subjective excellence (top 10% in the distribution of share of top journals out of total production at university level), it is shown that European universities fail to achieve objective measures of global excellence, while being competitive only in few fields. The policy implications of this state of affairs are discussed.

Suggested Citation

  • Andrea Bonaccorsi & Tindaro Cicero & Peter Haddawy & Saeed-UL Hassan, 2017. "Explaining the transatlantic gap in research excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 217-241, January.
  • Handle: RePEc:spr:scient:v:110:y:2017:i:1:d:10.1007_s11192-016-2180-2
    DOI: 10.1007/s11192-016-2180-2
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    References listed on IDEAS

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    1. Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011. "High- and low-impact citation measures: Empirical applications," Journal of Informetrics, Elsevier, vol. 5(1), pages 122-145.
    2. Lin, Chi-Shiou & Huang, Mu-Hsuan & Chen, Dar-Zen, 2013. "The influences of counting methods on university rankings based on paper count and citation count," Journal of Informetrics, Elsevier, vol. 7(3), pages 611-621.
    3. Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2011. "The skewness of science in 219 sub-fields and a number of aggregates," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 385-397, August.
    4. Pedro Albarrán & Ignacio Ortuño & Javier Ruiz-Castillo, 2011. "Average-based versus high- and low-impact indicators for the evaluation of scientific distributions," Research Evaluation, Oxford University Press, vol. 20(4), pages 325-339, October.
    5. Andrea Bonaccorsi, 2007. "Explaining poor performance of European science: Institutions versus policies," Science and Public Policy, Oxford University Press, vol. 34(5), pages 303-316, June.
    6. Ahlgren, Per & Waltman, Ludo, 2014. "The correlation between citation-based and expert-based assessments of publication channels: SNIP and SJR vs. Norwegian quality assessments," Journal of Informetrics, Elsevier, vol. 8(4), pages 985-996.
    7. Loet Leydesdorff & Lutz Bornmann & Rüdiger Mutz & Tobias Opthof, 2011. "Turning the tables on citation analysis one more time: Principles for comparing sets of documents," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1370-1381, July.
    8. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    9. Kaur, Jasleen & Radicchi, Filippo & Menczer, Filippo, 2013. "Universality of scholarly impact metrics," Journal of Informetrics, Elsevier, vol. 7(4), pages 924-932.
    10. Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011. "The measurement of low- and high-impact in citation distributions: Technical results," Journal of Informetrics, Elsevier, vol. 5(1), pages 48-63.
    11. Dosi, Giovanni & Llerena, Patrick & Labini, Mauro Sylos, 2006. "The relationships between science, technologies and their industrial exploitation: An illustration through the myths and realities of the so-called `European Paradox'," Research Policy, Elsevier, vol. 35(10), pages 1450-1464, December.
    12. Ruiz-Castillo, Javier & Ortuño, Ignacio & Crespo, Juan A. & Albarrán, Pedro, 2009. "A comparison of the scientific performance of the U. S. and the European Union at the turn of the XXI century," UC3M Working papers. Economics we095534, Universidad Carlos III de Madrid. Departamento de Economía.
    13. Andrea Bonaccorsi, 2011. "European competitiveness in information technology and long-term scientific performance," Science and Public Policy, Oxford University Press, vol. 38(7), pages 521-540, August.
    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. Robert H. Frank, 2016. "Success and Luck: Good Fortune and the Myth of Meritocracy," Economics Books, Princeton University Press, edition 1, number 10663.
    16. Haddawy, Peter & Hassan, Saeed-Ul & Asghar, Awais & Amin, Sarah, 2016. "A comprehensive examination of the relation of three citation-based journal metrics to expert judgment of journal quality," Journal of Informetrics, Elsevier, vol. 10(1), pages 162-173.
    17. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
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