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Russian Index of Science Citation: Overview and review

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Abstract

In early 2016 a new database was launched on the Web of Science platform—Russian Science Citation Index. The database is free to all Web of Science subscribers except those from the post-Soviet states. This database includes papers from 652 selected Russian journals and is based on the data from national citation index—Russian Index of Science Citation (RISC). RISC was launched in 2005 but it is scarcely known to the English-language audience. The paper describes the history, current structure and user possibilities of RISC. We focus on the novel features of RISC which are crucial to bibliometrics and are unavailable in the international citation indexes.

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Notes

  1. All eLIBRARY.RU and RISC data are collected on 1 March 2017 and show the database content for that date.

  2. Detailed description of the methodology is published, but as of January 2018 only in Russian: http://elibrary.ru/help_title_rating.asp.

  3. An extreme change in multidisciplinary category in Fig. 8 most probably may be ascribed to different definitions of multidisciplinarity in the databases.

  4. This official list of journals certified by the Higher Attestation Commission (Russian abbreviation is VAK) of the Ministry of Education and Science serves as a kind of “white list” of Russian journals and is used alongside with the WoS and Scopus for assessing those scientists who aim to receive Russian PhD. As of April 2018, this list contains 2289 journals selected by expert panels after being nominated by Russian academic institutions and publishers. It may be easily found in Internet, a shortcut link made on 17 April 2018 is https://tinyurl.com/VAKjournals (may change later if a new version of the list comes).

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Acknowledgements

The present study is an extended version of an article presented at the 16th International Conference on Scientometrics and Informetrics, Wuhan, China, 16–20 October 2017 (Moskaleva et al. 2017). We are grateful to Gennadiy Eremenko, CEO of eLIBRARY.RU, for his invaluable help. We thank Natalia Maksimova, Higher School of Economics Library Director, for arranging HSE access to bibliometric databases and her continuous support. M.A. thanks RFBR/RFH for support of this research (grant #14-03-00333). We also thank Vasiliy Pislyakov for his help in data mining.

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Moskaleva, O., Pislyakov, V., Sterligov, I. et al. Russian Index of Science Citation: Overview and review. Scientometrics 116, 449–462 (2018). https://doi.org/10.1007/s11192-018-2758-y

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