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Core journals and elite subsets in scientometrics

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  • Péter Vinkler

    (Hungarian Academy of Sciences)

Abstract

The core journals in scientometrics were determined by the frequency of papers in journals in the elite publication subsets (i.e. most frequently cited publications) of Price medallists. It is supposed that scientometric impact indicators derived from elite subsets may represent the impact of total publication activity more appropriately than the indices referring to whole sets. It is assumed further that prominent scientists publish their papers of potentially high impact in the leading journals of the field. The size of the elite subsets was determined by h, π, πv, MCR, and HCP-statistics. MCR is the mean citation rate of publications in a total set, whereas HCP means here papers at least with 100 citations. According to MCR or HCP statistics those papers belong to the corresponding elite subset of which citation frequency is equal to or higher than the mean of the corresponding set or 100, resp. The combined set of papers in 11 core journals of scientometrics was analysed. The number of papers in the elite subsets and their mean citation rate was calculated. The size of the studied elite subsets ranges from 30 to 225. The mean citation rate of the journal papers in the different elite subsets was found to decrease as the size of the elite subset increased. The publications in the field of “scientometrics” were collected also by keywords: scientometric, bibliometric, informetric, and webometric, from WoS. The mean citation rate of papers in the elite subsets was found significantly higher for those published in journals covering non-scientometric topics (e.g. Nature, Science, British Medical Journal, PLOS One, etc.). The high rate of papers in the elite subsets published by Price medallists may validate the selection of these sets for evaluation purposes. In most cases, any of the studied elite subsets may be used for publication evaluation.

Suggested Citation

  • Péter Vinkler, 2019. "Core journals and elite subsets in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 241-259, October.
    • Handle: RePEc:spr:scient:v:121:y:2019:i:1:d:10.1007_s11192-019-03199-5
    DOI: 10.1007/s11192-019-03199-5
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    1. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    2. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    3. 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.
    4. Zhou Chunlei & Kong Xiangyi & Lin Zhipeng, 2019. "Research on Derek John de Solla Price Medal Prediction Based on Academic Credit Analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 159-175, January.
    5. Lorna Wildgaard & Jesper W. Schneider & Birger Larsen, 2014. "A review of the characteristics of 108 author-level bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 125-158, October.
    6. Peter Vinkler, 2013. "Quantity and impact through a single indicator," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(5), pages 1084-1085, May.
    7. Schreiber, M. & Malesios, C.C. & Psarakis, S., 2012. "Exploratory factor analysis for the Hirsch index, 17 h-type variants, and some traditional bibliometric indicators," Journal of Informetrics, Elsevier, vol. 6(3), pages 347-358.
    8. 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.
    9. Juan E. Iglesias & Carlos Pecharromán, 2007. "Scaling the h-index for different scientific ISI fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(3), pages 303-320, December.
    10. 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.
    11. Leo Egghe, 2007. "Dynamic h‐index: The Hirsch index in function of time," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(3), pages 452-454, February.
    12. 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.
    13. William W. Hood & Concepción S. Wilson, 2001. "The Literature of Bibliometrics, Scientometrics, and Informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(2), pages 291-314, October.
    14. Lutz Bornmann & Werner Marx, 2014. "How to evaluate individual researchers working in the natural and life sciences meaningfully? A proposal of methods based on percentiles of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 487-509, January.
    15. Péter Vinkler, 2017. "The size and impact of the elite set of publications in scientometric assessments," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 163-177, January.
    16. Péter Vinkler, 2001. "An attempt for defining some basic categories of scientometrics and classifying the indicators of evaluative scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 539-544, March.
    17. Dag W Aksnes, 2003. "Characteristics of highly cited papers," Research Evaluation, Oxford University Press, vol. 12(3), pages 159-170, December.
    18. Péter Vinkler, 2017. "Core indicators and professional recognition of scientometricians," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(1), pages 234-242, January.
    19. Peter Vinkler, 2013. "Quantity and impact through a single indicator," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(5), pages 1084-1085, May.
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    Cited by:

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    4. Bethânia Ávila Rodrigues & Mariana Machado Fidelis Nascimento & Juliana Vitória Messias Bittencourt, 2021. "Mapping of the behavior of scientific publications since the decade of 1990 until the present day in the field of food and nutrition security," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2459-2483, March.
    5. Petr Praus, 2020. "HCR for assessment of scientific journals in chemistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1237-1242, February.

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