Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Comparison of Research Results by Scientific Communities

Comparison of Research Results by Scientific Communities ISSN 0005-1055, Automatic Documentation and Mathematical Linguistics, 2019, Vol. 53, No. 4, pp. 179–188. © Allerton Press, Inc., 2019. Russian Text © The Author(s), 2019, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2019, No. 8, pp. 28–38. INFORMATION ANALYSIS P. A. Kalachikhin* All-Russian Institute for Scientific and Technical Information, Russian Academy of Sciences (VINITI RAS), Moscow, 125190 Russia *e-mail: pakalachikhin@viniti.ru Received May 5, 2019 Abstract—In the article, the issues of normalization of scientometric indicators of the publication level were studied. An integrated approach to the evaluation of research results was formalized. The similarities and dif- ferences between professional and scientif ic communities were considered. The concept of a professional sci- entific community was introduced. Local and network subtypes of scientific communities were identified. A method has been developed for obtaining the values of scientometric indicators normalized by both local and network scientific communities, the distinguishing feature of which is the use of linguistic variables and pro- duction rules of fuzzy logic. The testing of the proposed methodology was carried out based on the example of a scientometric database. Keywords: altmetrics, bibliometric indicators, scientometric platforms, scientific community, professional community, network community DOI: 10.3103/S0005105519040071 INTRODUCTION research results carried http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

Comparison of Research Results by Scientific Communities

Download PDF
10 pages

Loading next page...
 
/lp/springer-journals/comparison-of-research-results-by-scientific-communities-0s0gqtv3y0

References (28)

Publisher
Springer Journals
Copyright
Copyright © 2019 by Allerton Press, Inc.
Subject
Computer Science; Information Storage and Retrieval
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/S0005105519040071
Publisher site
See Article on Publisher Site

Abstract

ISSN 0005-1055, Automatic Documentation and Mathematical Linguistics, 2019, Vol. 53, No. 4, pp. 179–188. © Allerton Press, Inc., 2019. Russian Text © The Author(s), 2019, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2019, No. 8, pp. 28–38. INFORMATION ANALYSIS P. A. Kalachikhin* All-Russian Institute for Scientific and Technical Information, Russian Academy of Sciences (VINITI RAS), Moscow, 125190 Russia *e-mail: pakalachikhin@viniti.ru Received May 5, 2019 Abstract—In the article, the issues of normalization of scientometric indicators of the publication level were studied. An integrated approach to the evaluation of research results was formalized. The similarities and dif- ferences between professional and scientif ic communities were considered. The concept of a professional sci- entific community was introduced. Local and network subtypes of scientific communities were identified. A method has been developed for obtaining the values of scientometric indicators normalized by both local and network scientific communities, the distinguishing feature of which is the use of linguistic variables and pro- duction rules of fuzzy logic. The testing of the proposed methodology was carried out based on the example of a scientometric database. Keywords: altmetrics, bibliometric indicators, scientometric platforms, scientific community, professional community, network community DOI: 10.3103/S0005105519040071 INTRODUCTION research results carried

Journal

Automatic Documentation and Mathematical Linguistics – Springer Journals

Published: Oct 7, 2019

There are no references for this article.