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Citation regression analysis of computer science publications in different ranking categories and subfields.

Authors :
Qian, Yifan
Rong, Wenge
Jiang, Nan
Tang, Jie
Xiong, Zhang
Source :
Scientometrics; Mar2017, Vol. 110 Issue 3, p1351-1374, 24p
Publication Year :
2017

Abstract

A number of bibliometric studies point out that the role of conference publications in computer science differs from that in other traditional fields. Thus, it is interesting to identify the relative status of journal and conference publications in different subfields of computer science based on the citation rates categorised by the China Computer Federation (CCF) classifications and venue types. In this research, we construct a dataset containing over 100,000 papers recommended by the CCF catalogue and their citation information. We also investigate some other factors that often influence a paper's citation rate. An experimental study shows that the relative status of journals and conferences varies greatly in different subfields of computer science, and the impact of different publication levels varies according to the citation rate. We also verify that the classification of a publication, number of authors, maximum h-index of all authors of a paper, and average number of papers published by a publication have different effects on the citation rate, although the citation rate may have a different degree of correlation with these factors. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01389130
Volume :
110
Issue :
3
Database :
Complementary Index
Journal :
Scientometrics
Publication Type :
Academic Journal
Accession number :
121289144
Full Text :
https://doi.org/10.1007/s11192-016-2235-4