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Economic journals of Russia, their characteristics and network analysis

Author

Listed:
  • Aleskerov, F.

    (National Research University Higher School of Economics, Moscow, Russia
    V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia)

  • Kazachinskaya, A.

    (National Research University Higher School of Economics, Moscow, Russia)

  • Karabekyan, D.

    (National Research University Higher School of Economics, Moscow, Russia)

  • Semina, A.

    (National Research University Higher School of Economics, Moscow, Russia)

  • Yakuba, V.

    (V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
    National Research University Higher School of Economics, Moscow, Russia)

Abstract

We study economic journals published in Russia and indexed in the Russian Index of Science Citation (RISC). We analyze citations of 466 journals for 2016-2020 and compare these journals using several metrics: total citation count, Hirsch index, Impact factor RISC, and Science Index RISC. We also use network analysis for citation graphs and compare journals by centrality indices: Copeland index and two new indices: Bundle and Pivotal. We found that "Voprosy Ekonomiki" is the only journal that is among the top-5 journals for all metrics. Other top journals differ for different metrics. We noticed that some top journals have a questionable reputation and the reason why they are among the top journals is a high number of publications, which makes classical journals less influential with respect to the metrics.

Suggested Citation

  • Aleskerov, F. & Kazachinskaya, A. & Karabekyan, D. & Semina, A. & Yakuba, V., 2021. "Economic journals of Russia, their characteristics and network analysis," Journal of the New Economic Association, New Economic Association, vol. 50(2), pages 170-182.
    • Handle: RePEc:nea:journl:y:2021:i:50:p:170-182
    DOI: 10.31737/2221-2264-2021-50-2-9
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    References listed on IDEAS

    as
    1. Tatiana Marina & Ivan Sterligov, 2021. "Prevalence of potentially predatory publishing in Scopus on the country level," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5019-5077, June.
    2. Alberto Baccini & Lucio Barabesi, 2010. "Interlocking editorship. A network analysis of the links between economic journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 365-389, February.
    3. Aleskerov, F. & Badgaeva, D. & Pislyakov, V. & Sterligov, I. & Shvydun, S., 2016. "An Importance of Russian and International Economic Journals: a Network Approach," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 193-205.
    4. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    5. Rubinstein, A., 2016. "Ranking of Russian Economic Journals: The Scientific Method or "Numbers Game"," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 162-175.
    6. Tatiana Marina & Ivan Sterligov, 2021. "Correction to: Prevalence of potentially predatory publishing in Scopus on the country level," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5079-5079, June.
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    Cited by:

    1. Aleskerov, F. & Dutta, S. & Egorov, D. & Tkachev, D., 2024. "Networks under deep uncertainty concerning food security," Journal of the New Economic Association, New Economic Association, vol. 64(3), pages 12-29.

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    More about this item

    Keywords

    network analysis; Hirsch index; economic journals;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games

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