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Publication Activity of Russian Researches in Leading International Scientific Journals

Author

Listed:
  • Maxim Kotsemir

    (ISSEK - Institute for Statistical Studies and Economics of Knowledge - State University Higher School of Economics)

Abstract

This article is available on http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2207297 The primary aim of this research report is to analyse the dynamics and structure of the publications of Russian authors, as well as to define the place of Russian science in the global scientific process. Bibliometric analysis methods are the main methods for quantitative analysis of scientific cooperation, efficiency, and other aspects of scientific activity. The information base for this research includes materials from science citation databases containing bibliographic descriptions of the articles published in scientific journals (mainly written in English) in a significant number of fields of science. Various parameters (e.g. dynamics of the number of publications, the number of citation, the level of co-authorship, the scientific specialization index, etc.) at various levels of aggregation (e.g. individual researchers, research organizations, countries and regions of the world) can be calculated based on these data. The results of bibliometric studies can be used in a number of ways: analysis of latest trends in the development of various scientific fields; evaluation of the effectiveness of research organizations; overall assessment of the scientific potential of Russia (its strengths and weaknesses); identification the most productive scientists in various fields of science; drawing the international comparisons of publications; analysis of collaboration networks of scientific teams. The paper analyses the basic indicators of the publication activity of scientists in Russia and the leading countries over the period between 2001 and 2011. Publication activity of Russian scientists is analysed in the context of specific areas of science. This allows the identification of areas of specialization of Russian publications. The paper also examines the dynamics of highly-cited publications and the indicators of the international scientific collaboration of Russian researchers. In this paper, materials of Web of Science database were used for analysis of publication activity.

Suggested Citation

  • Maxim Kotsemir, 2012. "Publication Activity of Russian Researches in Leading International Scientific Journals," Post-Print hal-00865856, HAL.
    • Handle: RePEc:hal:journl:hal-00865856
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    Cited by:

    1. Leonid Gokhberg & Vitaliy Roud, 2016. "Structural changes in the national innovation system: longitudinal study of innovation modes in the Russian industry," Economic Change and Restructuring, Springer, vol. 49(2), pages 269-288, August.
    2. Maxim Kotsemir, 2013. "Measuring National Innovation Systems Efficiency - A Review of DEA Approach," Post-Print hal-00865875, HAL.
    3. Adèle Paul-Hus & Rébecca L. Bouvier & Chaoqun Ni & Cassidy R. Sugimoto & Vladimir Pislyakov & Vincent Larivière, 2015. "Forty years of gender disparities in Russian science: a historical bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1541-1553, February.
    4. Maria Karaulova & Abdullah Gök & Oliver Shackleton & Philip Shapira, 2016. "Science system path-dependencies and their influences: nanotechnology research in Russia," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 645-670, May.

    More about this item

    Keywords

    publication activity; publication analysis; bibliometric analysis; bibliometric indicators; bibliometrics; publications of Russian authors; level of citation; cross-country analysis; Web of Science; Scopus; international comparisons; citation amalysis; Matthew index; scientometrics;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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