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Publications 2017, 5(4), 23; doi:10.3390/publications5040023

Computer Science Papers in Web of Science: A Bibliometric Analysis

1
Department of Computer Science and Engineering, University of West Bohemia, Pilsen 301 00, Czech Republic
2
Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Košice 040 01, Slovakia
*
Author to whom correspondence should be addressed.
Academic Editor: Michael B. Twidale
Received: 10 August 2017 / Revised: 15 September 2017 / Accepted: 27 September 2017 / Published: 29 September 2017
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Abstract

In this article we present a bibliometric study of 1.9 million computer science papers published from 1945 to 2014 and indexed in Web of Science. We analyze both the quantity and the impact of these publications according to document types, languages, disciplines, countries, institutions, and publication sources. The most frequent author keywords, cited references, and cited papers as well as the distribution of the number of references and citations per paper and of the age of cited references are also explored. Since conference proceedings play a tremendous role in this scientific field, we investigate the time and place of computer science conferences in terms of the most prolific months and locations. And, last but not least, the production of journal articles and conference papers over the whole time period and the level of collaboration in different computer science disciplines are inspected. One of the main results is the finding that “Artificial Intelligence” is the most productive subfield of computer science, but “Interdisciplinary Applications” has the highest relative impact. View Full-Text
Keywords: web of science; computer science; production; citations; bibliometrics web of science; computer science; production; citations; bibliometrics
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MDPI and ACS Style

Fiala, D.; Tutoky, G. Computer Science Papers in Web of Science: A Bibliometric Analysis. Publications 2017, 5, 23.

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