WL-Index: Leveraging Citation Mention Number to Quantify an Individual&apos;s   Scientific Impact

doi:10.1002/asi.23151

CORC > 北京大学 > 信息科学技术学院

	WL-Index: Leveraging Citation Mention Number to Quantify an Individual's Scientific Impact
	Wan, Xiaojun ; Liu, Fang
刊名	journal of the association for information science and technology
	2014
关键词	H-INDEX BIBLIOMETRIC INDICATORS RESEARCH OUTPUT RANKING REFERENCES JOURNALS MODEL
DOI	10.1002/asi.23151
英文摘要	A number of bibliometric indices have been developed to evaluate an individual's scientific impact, and the most popular are the h-index and its variants. However, existing bibliometric indices are computed based on the number of citations received by each article, but they do not consider the frequency with which individual citations are mentioned in an article. We use "citation mention" to denote a unique occurrence of a cited reference mentioned in the citing article, and thus some citations may have more than one mention in an article. According to our analysis of the ACL Anthology Network corpus in the natural language processing field, more than 40% of cited references have been mentioned twice or in corresponding citing articles. We argue that citation mention is a preferable for representing the citation relationships between articles, that is, a reference article mentioned m times in the citing article will be considered to have received m citations, rather than one citation. Based on this assumption, we revise the h-index and propose a new bibliometric index, the WL-index, to evaluation an individual's scientific impact. According to our empirical analysis, the proposed WL-index more accurately discriminates between program committee chairs of reputable conferences and ordinary authors.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000345441600011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Information Systems; Information Science & Library Science; SCI(E); EI; SSCI; 1; ARTICLE; wanxiaojun@pku.edu.cn; xiaojudou@gmail.com; 12; 2509-2517; 65
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/161730]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Wan, Xiaojun,Liu, Fang. WL-Index: Leveraging Citation Mention Number to Quantify an Individual's Scientific Impact[J]. journal of the association for information science and technology,2014.
APA	Wan, Xiaojun,&Liu, Fang.(2014).WL-Index: Leveraging Citation Mention Number to Quantify an Individual's Scientific Impact.journal of the association for information science and technology.
MLA	Wan, Xiaojun,et al."WL-Index: Leveraging Citation Mention Number to Quantify an Individual's Scientific Impact".journal of the association for information science and technology (2014).