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HCR for assessment of scientific journals in chemistry

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  • Petr Praus

    (VŠB-Technical University of Ostrava)

Abstract

This letter to the Editor refers to the application of the h-core citations rate (HCR) indicator for the bibliometric assessment of scientific journals. A dataset of two hundred journals published by seven publishers in various fields of chemistry was analysed using HCR together with other common bibliometric characteristics, such as Impact factor (IF), SCImago journal rank (SJR), Article factor score (AIS) as well as h-index. HCR does not correlate with IF, SJR or AIS and decreases with the number of published papers. Hence, HCR is complementary to the mentioned metrics and seems to be suitable for journal assessment.

Suggested Citation

  • Petr Praus, 2020. "HCR for assessment of scientific journals in chemistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1237-1242, February.
    • Handle: RePEc:spr:scient:v:122:y:2020:i:2:d:10.1007_s11192-019-03322-6
    DOI: 10.1007/s11192-019-03322-6
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    References listed on IDEAS

    as
    1. Péter Vinkler, 2019. "Core journals and elite subsets in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 241-259, October.
    2. Petr Praus, 2019. "High-ranked citations percentage as an indicator of publications quality," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 319-329, July.
    3. Schubert, András & Glänzel, Wolfgang, 2007. "A systematic analysis of Hirsch-type indices for journals," Journal of Informetrics, Elsevier, vol. 1(3), pages 179-184.
    4. 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.
    5. González-Pereira, Borja & Guerrero-Bote, Vicente P. & Moya-Anegón, Félix, 2010. "A new approach to the metric of journals’ scientific prestige: The SJR indicator," Journal of Informetrics, Elsevier, vol. 4(3), pages 379-391.
    6. Tibor Braun & Wolfgang Glänzel & András Schubert, 2006. "A Hirsch-type index for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 169-173, October.
    7. 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.
    Full references (including those not matched with items on IDEAS)

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