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Bibliometric analysis of the document flow of informetrics based on the Russian Science Citation Index

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Abstract

The results of a bibliometric analysis of the informetrics document flow are presented, based on the Russian Science Citation Index data for 2000–2013. The flow composition by subject matter and document type has been studied. The dynamics of publications has been analyzed and a time-series trend model has been constructed. The authors with the greatest number of publications on the subject matter under study have been identified. The most-frequently cited articles and their authors have been indicated. The list of journals that published most of the articles and the leading organizations in the knowledge area under consideration have been determined.

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Authors and Affiliations

  1. Kazan State University of Culture and Arts, Kazan, Russia

    M. S. Galyavieva

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  1. M. S. Galyavieva
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Correspondence to M. S. Galyavieva.

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Original Russian Text © M.S. Galyavieva, 2014, published in Nauchno-Technicheskaya Informatsiya, Seriya I, 2014, No. 10, pp. 24–34.

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Galyavieva, M.S. Bibliometric analysis of the document flow of informetrics based on the Russian Science Citation Index. Sci. Tech.Inf. Proc. 41, 220–229 (2014). https://doi.org/10.3103/S0147688214040042

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  • DOI: https://doi.org/10.3103/S0147688214040042

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