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

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• 作者：Yifan Qian ; Wenge Rong ; Nan Jiang ; Jie Tang ; Zhang Xiong
• 关键词：Citation rate ; Computer science ; Influence factor ; Multiple regression
• 刊名：Scientometrics
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：110
• 期：3
• 页码：1351-1374
• 全文大小：
• 刊物主题：Information Storage and Retrieval; Library Science;
• 出版者：Springer Netherlands
• ISSN：1588-2861
• 卷排序：110

文摘

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.