
APPLICATION OF SCIENTOMETRIC ANALYSIS METHODS FOR EVALUATING PUBLICATION ACTIVITY (A CASE OF THE KALININGRAD REGION UNDER STUDY)
Author(s) -
Irina Yu. Peker
Publication year - 2020
Publication title -
geografičeskij vestnik
Language(s) - English
Resource type - Journals
ISSN - 2079-7877
DOI - 10.17072/2079-7877-2020-4-43-53
Subject(s) - scientometrics , field (mathematics) , data science , distribution (mathematics) , scientific literature , sociology of scientific knowledge , subject (documents) , bibliometrics , computer science , geography , library science , regional science , social science , sociology , mathematics , biology , mathematical analysis , paleontology , pure mathematics
The spatial aspects of the generation, application and further transfer of knowledge are increasingly attracting the attention of Russian and foreign researchers in social science and the humanities. Taking into account the importance of the geographical factor in the distribution of science and knowledge in general, it should be noted that the methods and tools of spatial analysis, for example, such a field of science studies as scientometrics, appear to be relevant. The research deals with the spatio-temporal distribution of scientific knowledge about the Kaliningrad region. The paper presents the results of the analysis of bibliometric data on the subject ‘Kaliningrad region’ in order to identify the centers of knowledge generation and the most relevant areas of research. The calculations are based on the methods of scientometric analysis of bibliographic data applied to determine the volume and distribution of scientific publications in time and space. Cartographic methods were also used. The bibliographic database of the scientific electronic library eLIBRARY.RU, the largest Russian electronic archive of scientific publications, was taken as a data source. The study has revealed the dynamics of scientific productivity, the main branches of scientific knowledge studying the Kaliningrad region, scientific centers, as well as their spatial distribution at the national level.