Are Papers Asking Questions Cited More Frequently in Computer Science?

Are Papers Asking Questions Cited More Frequently in Computer Science?

In this article, we test the hypothesis that computer science papers asking questions (i.e., those with a question mark at the end of their title) are cited more frequently than those that do not have this property. To this end, we analyze a data set of almost two million records on computer science papers indexed in the Web of Science database and focus our investigation on the mean number of citations per paper of its specific subsets. The main finding is that the average number of citations per paper of the so-called ÔÇťasking papersÔÇŁ is greater by almost 20% than that of other papers, and that this difference is statistically significant.

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Keywords: computer science; papers; citations; questions; Web of Science

Year: 2021

Journal ISSN: 2073-431X
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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.

Pavel Kr├íl


Phone: +420 377 632 454
E-mail: pkral@kiv,zcu.cz
WWW: http://home.zcu.cz/~pkral/

Pavel is a lecturer/researcher at the Department of Computer Science and Engineering at the University of West Bohemia in Pilsen (Czech Republic). His research is focused on automatic speech processing, dialog act recognition, syntactic parsing, punctuation annotation and document classification.

Martin Dostal


E-mail: madostal@kiv.zcu.cz

Martin graduated from the University of West Bohemia in 2009, specialized in software engineering. He is interested in the semantic Web, information retrieval, and question answering.

Related Projects:


Project

Social Networks Analysis

Authors:  Karel Je┼żek, Dalibor Fiala, Michal Nykl
Desc.:Application of the PageRank algorithm and its modifications to the exploration of network structures, particularly citation and co-autorship networks.