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Using h-cores to study the most-cited articles of the twenty-first century

Author

Listed:
  • Elias Sanz-Casado

    (Carlos III University of Madrid
    Carlos III University of Madrid-Autonomous University of Madrid)

  • Carlos García-Zorita

    (Carlos III University of Madrid
    Carlos III University of Madrid-Autonomous University of Madrid)

  • Ronald Rousseau

    (KU Leuven
    Universiteit Antwerpen)

Abstract

The aim of this paper is to collect the most-cited articles of the twenty-first century and to study how this group changed over time. Here the term “most-cited” is operationalized by considering yearly h-cores in the Web of Science. These h-cores are analysed in terms of authors, research areas, countries, institutions, journals and average number of authors per paper. We only consider publications of article or proceedings type. The research of some of the more prolific authors is on genetics and genomes publishing in multidisciplinary journals, such as Nature and Science, while the results show that writing a software tool for crystallography or molecular biology may help collecting large numbers of citations. English is the language of all articles in any h-core. The core institutions are largely those best placed in most rankings of world universities. Some attention is given on the relation between h-core articles and the information sciences. We further introduce the notions of h-core scores and h-core score per publication, leading to new rankings of countries. We conclude by stating that the notions of h-cores and h-core scores provide a new perspective on leading countries, articles and scientists.

Suggested Citation

  • Elias Sanz-Casado & Carlos García-Zorita & Ronald Rousseau, 2016. "Using h-cores to study the most-cited articles of the twenty-first century," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 243-261, July.
    • Handle: RePEc:spr:scient:v:108:y:2016:i:1:d:10.1007_s11192-016-1956-8
    DOI: 10.1007/s11192-016-1956-8
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    References listed on IDEAS

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    1. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2014. "The European Union, China, and the United States in the top-1% and top-10% layers of most-frequently cited publications: Competition and collaborations," Journal of Informetrics, Elsevier, vol. 8(3), pages 606-617.
    2. George A. Lozano & Vincent Larivière & Yves Gingras, 2012. "The weakening relationship between the impact factor and papers' citations in the digital age," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2140-2145, November.
    3. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    4. Qiuju Zhou & Ronald Rousseau & Liying Yang & Ting Yue & Guoliang Yang, 2012. "A general framework for describing diversity within systems and similarity between systems with applications in informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 787-812, December.
    5. Ronald Rousseau, 1992. "Concentration and diversity of availability and use in information systems: A positive reinforcement model," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(5), pages 391-395, June.
    6. Vincent Larivière & George A. Lozano & Yves Gingras, 2014. "Are elite journals declining?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 649-655, April.
    7. Richard Van Noorden & Brendan Maher & Regina Nuzzo, 2014. "The top 100 papers," Nature, Nature, vol. 514(7524), pages 550-553, October.
    8. Lutz Bornmann, 2013. "How to analyze percentile citation impact data meaningfully in bibliometrics: The statistical analysis of distributions, percentile rank classes, and top-cited papers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(3), pages 587-595, March.
    9. Per O. Seglen, 1992. "The skewness of science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(9), pages 628-638, October.
    10. 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.
    11. Jakobsson, Ulf, 1976. "On the measurement of the degree of progression," Journal of Public Economics, Elsevier, vol. 5(1-2), pages 161-168.
    12. David A. King, 2004. "The scientific impact of nations," Nature, Nature, vol. 430(6997), pages 311-316, July.
    13. Leo Egghe, 2004. "Positive reinforcement and 3-dimensional informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 497-509, August.
    14. Zhou, Ping & Leydesdorff, Loet, 2006. "The emergence of China as a leading nation in science," Research Policy, Elsevier, vol. 35(1), pages 83-104, February.
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    Cited by:

    1. Xiaojun Hu & Ronald Rousseau, 2017. "Nobel Prize winners 2016: Igniting or sparking foundational publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 1053-1063, February.
    2. Wei, Shelia X. & Tong, Tong & Rousseau, Ronald & Wang, Wanru & Ye, Fred Y., 2022. "Relations among the h-, g-, ψ-, and p-index and offset-ability," Journal of Informetrics, Elsevier, vol. 16(4).
    3. Hu, Xiaojun & Rousseau, Ronald, 2016. "Scientific influence is not always visible: The phenomenon of under-cited influential publications," Journal of Informetrics, Elsevier, vol. 10(4), pages 1079-1091.
    4. Gauffriau, Marianne, 2017. "A categorization of arguments for counting methods for publication and citation indicators," Journal of Informetrics, Elsevier, vol. 11(3), pages 672-684.

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