Five hundred most-cited papers in the computer sciences: Trends, relationships and common factors

Teh, Phoey Lee * and Heard, Peter * (2021) Five hundred most-cited papers in the computer sciences: Trends, relationships and common factors. In: Trends and Applications in Information Systems and Technologies. WORLDCIST 2021. Advances in Intelligent Systems and Computing, 1366 . Springer, Cham, pp. 13-22. ISBN 978-3-030-72651-5

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Official URL: https://doi.org/10.1007/978-3-030-72651-5_2

Abstract

This study reveals common factors among highly cited papers in the computer sciences. The 500 most cited papers in the computer sciences published between January 2013 and December 2017 were downloaded from the Web of Science (WoS). Data on the number of citations, number of authors, article length and subject sub-discipline were extracted and analyzed in order to identify trends, relationships and common features. Correlations between common factors were analyzed. The 500 papers were cited a total of 10,926 times: the average number of citations per paper was 21.82 citations. A correlation was found between author credibility (defined in terms of the QS University Ranking of the first named author’s affiliation) and the number of citations. Authors from universities ranked 350 or higher were more cited than those from lower ranked universities. Relationships were also found between journal ranking and both the number of authors and the article length. Higher ranked journals tend to have a greater number of authors, but were of shorter length. The article length was also found to be correlated with the number of authors and the QS Subject Ranking of the first author’s affiliation. The proportion of articles in higher ranked journals (journal quartile), the length of articles and the number of citations per page were all found to correlate to the sub-discipline area (Information Systems; Software Engineering; Artificial Intelligence; Interdisciplinary Applications; and Theory and Methods).

Item Type: Book Section
Uncontrolled Keywords: Data search; Knowledge discovery; Citation; Trends; Common factors
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: General > Directorate
Sunway University > School of Engineering and Technology [formerly School of Science and Technology until 2020] > Dept. Computing and Information Systems
Depositing User: Dr Janaki Sinnasamy
Related URLs:
Date Deposited: 14 Apr 2021 08:31
Last Modified: 16 Apr 2021 03:51
URI: http://eprints.sunway.edu.my/id/eprint/1730

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