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Artificial Intelligence and Decision Making, 2014, Issue 3, Pages 62–71
(Mi iipr366)
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This article is cited in 4 scientific papers (total in 4 papers)
Intelligent systems and technologies
Investigation of systems and methods for scientometric analysis of scientific publications
A. V. Shvetsa, D. A. Devyatkina, I. V. Smirnova, I. A. Tikhomirova, K. V. Popovb, K. N. Yaryginc a Institute for Systems Analysis of Russian Academy of Sciences
b Engelhardt Institute of Molecular Biology, Russian Academy of Sciences
c Institute of Biomedical Chemistry of Russian Academy of Medical Sciences
Abstract:
The paper contains an overview of the methods and systems of scientometric analysis of scientific publications, the methods for identifying promising areas of research. The results of experiments for identification of research areas using different methods in the domain “regenerative medicine” are considered. Conclusions about the prospects of these methods, their disadvantages, as well as directions for further research are provided.
Keywords:
scientometric analysis and support of scientific activities, map of science, regenerative medicine.
Citation:
A. V. Shvets, D. A. Devyatkin, I. V. Smirnov, I. A. Tikhomirov, K. V. Popov, K. N. Yarygin, “Investigation of systems and methods for scientometric analysis of scientific publications”, Artificial Intelligence and Decision Making, 2014, no. 3, 62–71; Scientific and Technical Information Processing, 42:5 (2015), 359–366
Linking options:
https://www.mathnet.ru/eng/iipr366 https://www.mathnet.ru/eng/iipr/y2014/i3/p62
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Abstract page: | 19 | Full-text PDF : | 1 | References: | 1 |
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