Abstract
The results of a study based Lotka’s law are presented that show the quantitative distribution of publications among groups of authors affiliated to one scientific organization. The relationship between publications and authors of articles is analyzed by building discrete mathematical structures known as graphs on the basis of multilevel citation data. This analysis makes it possible to determine the importance of an article and track its relationships and impact on adjacent areas of scientific research. The analysis is conducted by statistical processing of scientometric information. The practical results show the high convergence of empirical and analytical data. The relationships between research teams and lines of research are established.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Galyavieva, M.S., Informetry training for informationlibrary specialists: Formulation of the problem, Sovrem. Probl. Nauki Obraz., 2013, no. 3.
Bredikhin, S.V., Kuznetsov, A.Yu., and Shcherbakova, N.G., Analiz tsitirovaniya v bibliometrii (Analysis of Citation in Bibliometry), Novosibirsk: IVMiMG SORAN, NEIKON, 2013.
Pislyakov, V.V., Bibliometricheskie indikatory: Praktikum (Bibliometric Indicators: Practicum), Moscow: INFRA-M, 2014.
Golovina, M.Yu., Bibliometry as a way of evaluating research activity, XXXVII Nauchno-prakticheskaya konf. professorsko-prepodavatel’skogo sostava vuza (XXXVII Scientific and Practical Conference of the Professor-Pedagogical Faculty of the University), Chelyabinsk: Chelyab. gos. inst. kul’t., 2016.
Moskaleva, O.V., Use of scientometric indicators to evaluate scientific activity, in Naukovedcheskie issledovaniya (Science of Science), S.-Peterb. Gos. Univ., 2013.
Mokhnacheva, Yu.V. and Kharybina, T.N., Evaluation of the effectiveness of scientific activity using basic quantitative bibliometric indicators on the example of the Pushchino Scientific Center of the RAS, Elektronnye biblioteki: perspektivnye metody i tekhnologii, elektronnye kollektsii: Trudy XII Vserossiiskoi nauchnoi konf. RCDL ‘2010; Kazan’, Rossiya 13-17 oktyabrya 2010 g. (Electronic Libraries: Advanced Methods and Technologies, Digital Collections: Proc. 12th All-Russian Sci. Conf. RCDL'2010; Kazan, Russia October 13–17, 2010), Kazan: Kazan. univ., 2010, pp. 177–180.
Granovskii, Yu.V., Scientometrics and management of scientific teams, in Naukovedcheskie issledovaniya: Sbornik nauchnykh trudov (Science of Science: A Collection of Scientific Papers), Moscow, 2013.
Soshchenko, A.E. and Komaritsa, V.N., Analysis of the relationship between the number of publications and the number of articles cited in the scientific periodical for pipeline transport of hydrocarbons, Science & Technologies: Oil and Oil Products Pipeline Transportation, 2015, no. 3 (19), pp. 108–115.
The index of scientific citation Web of Science, Science & Technologies: Oil and Oil Products Pipeline Transportation, 2011, no. 3, pp. 102–104.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © V.N. Komaritsa, A.A. Soshchenko, 2017, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2017, No. 8, pp. 13–19.
About this article
Cite this article
Komaritsa, V.N., Soshchenko, A.A. Practical use of bibliometric patterns in scientific studies. Autom. Doc. Math. Linguist. 51, 196–200 (2017). https://doi.org/10.3103/S0005105517040057
Received:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S0005105517040057