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On first quartile journals which are not of highest impact

Author

Listed:
  • J. A. García

    (Universidad de Granada)

  • Rosa Rodriguez-Sánchez

    (Universidad de Granada)

  • J. Fdez-Valdivia

    (Universidad de Granada)

  • J. Martinez-Baena

    (Universidad de Granada)

Abstract

Here we study the relationship between journal quartile rankings of ISI impact factor (at the 2010) and journal classification in four impact classes, i.e., highest impact, medium highest impact, medium lowest impact, and lowest impact journals in subject category computer science artificial intelligence. To this aim, we use fuzzy maximum likelihood estimation clustering in order to identify groups of journals sharing similar characteristics in a multivariate indicator space. The seven variables used in this analysis are: (1) Scimago Journal Ranking (SJR); (2) H-Index (H); (3) ISI impact factor (IF); (4) 5-Year Impact Factor (5IF); (5) Immediacy Index (II); (6) Eigenfactor Score (ES); and (7) Article Influence Score (AIS). The fuzzy clustering allows impact classes to overlap, thereby accommodating for uncertainty related to the confusion about the impact class attribution for a journal and vagueness in impact classes definition. This paper demonstrates the complex relationship between quartiles of ISI impact factor and journal impact classes in the multivariate indicator space. And that several indicators should be used for a distinct analysis of structural changes at the score distribution of journals in a subject category. Here we propose it can be performed in a multivariate indicator space using a fuzzy classifier.

Suggested Citation

  • J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia & J. Martinez-Baena, 2012. "On first quartile journals which are not of highest impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 925-943, March.
    • Handle: RePEc:spr:scient:v:90:y:2012:i:3:d:10.1007_s11192-011-0534-3
    DOI: 10.1007/s11192-011-0534-3
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    References listed on IDEAS

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    Cited by:

    1. Ekaterina Dyachenko, 2013. "Internationalization of academic journals: is there still a gap between social and natural sciences?," HSE Working papers WP BRP 28/HUM/2013, National Research University Higher School of Economics.
    2. Ekaterina L. Dyachenko, 2014. "Internationalization of academic journals: Is there still a gap between social and natural sciences?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 241-255, October.
    3. Najmeh Masoumi & Reza Khajavi, 2023. "A fuzzy classifier for evaluation of research topics by using keyword co-occurrence network and sponsors information," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1485-1512, March.
    4. Hamdi A. Al-Jamimi & Galal M. BinMakhashen & Lutz Bornmann & Yousif Ahmed Al Wajih, 2023. "Saudi Arabia research: academic insights and trend analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5595-5627, October.
    5. Zsolt Kohus & Márton Demeter & László Kun & Eszter Lukács & Katalin Czakó & Gyula Péter Szigeti, 2022. "A Study of the Relation between Byline Positions of Affiliated/Non-Affiliated Authors and the Scientific Impact of European Universities in Times Higher Education World University Rankings," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    6. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2014. "The selection of high-quality manuscripts," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 299-313, January.
    7. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia & Daniel Torres-Salinas & Francisco Herrera, 2012. "Ranking of research output of universities on the basis of the multidimensional prestige of influential fields: Spanish universities as a case of study," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 1081-1099, December.
    8. Minxian Zheng & Kuangji Zhao & Shikui Zhao & Yantong Zhang, 2020. "Effecting variables of journal’s ranking in forestry field," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 135-151, October.
    9. Gabriel-Alexandru Vȋiu & Mihai Păunescu, 2021. "The lack of meaningful boundary differences between journal impact factor quartiles undermines their independent use in research evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1495-1525, February.
    10. Ruben Miranda & Esther Garcia-Carpintero, 2019. "Comparison of the share of documents and citations from different quartile journals in 25 research areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 479-501, October.
    11. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia & Nicolas Robinson-García & Daniel Torres-Salinas, 2014. "Best-in-class and strategic benchmarking of scientific subject categories of Web of Science in 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 615-630, June.

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