Computer science in Eastern Europe 1989-2014: a bibliometric study

Computer science in Eastern Europe 1989-2014: a bibliometric study

Purpose: This paper studies the development of research in computer science in 15 Eastern European countries following the breaching of the Berlin Wall in 1989. Design/methodology/approach: We conducted a bibliometric analysis of 82,121 computer science publications indexed in the Web of Science database and investigated publication, citation, and collaboration patterns of the individual countries. Findings: Poland has been the most productive country, followed by Russia, the Czech Republic, Romania, Hungary, and Slovenia. Publication rates have increased substantially over the period, but this has not been accompanied by a corresponding increase in the quality of the publications. Hungary and Slovenia are the most influential countries in terms of citations per paper. Artificial Intelligence is the most frequently occurring computer science subject category, with Interdisciplinary Applications the category with the greatest impact. USA, Germany, UK, France, and Canada are the most frequently collaborating Western nations, and papers published in collaboration with USA authors accrue the most citations. Originality/value: This is the first ever bibliometric study of the whole post-communist Eastern European computer science research as indexed in the Web of Science.

The available full text is a preprint of the article.

Keywords: Analysis, Web of Science, Eastern Europe, Computer science, Bibliometrics

Year: 2015

Journal ISSN: 2050-3806
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Authors of this publication:


Dalibor Fiala


Phone: +420 377 63 2429
E-mail: dalfia@kiv.zcu.cz
WWW: http://www.kiv.zcu.cz/~dalfia/

Dalibor is the research group coordinator and an associate professor at the Department of Computer Science and Engineering at the University of West Bohemia in Pilsen, Czech Republic. He is interested in data mining, web mining, information retrieval, informetrics, and information science.

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Desc.:Application of the PageRank algorithm and its modifications to the exploration of network structures, particularly citation and co-autorship networks.