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Title:Singly authored papers contribute the most to scientists’ impact
Author(s):Ai, Wenhua; Zhao, Zhenyue; Li, Jiang
Subject(s):Authorship
Academic impact
Linear regression
Abstract:Utilizing citation data for 100,000 most-cited scientists in the Scopus database, this paper investigated how citations received by an author in different authorship affect his/her academic impact differently. Using a linear regression model as an estimation, it shows that the citations received as the single author of a paper elevates the academic impact the most, followed by that as the first (but not single) author, last author, and middle author. Differences also emerged when we probed into different research fields separately as in some fields citations in the four types of authorship do not differ a lot, and also in some fields, the last-authored citations could 'outweigh' the first-authored ones.
Issue Date:2020-03-23
Publisher:iSchools
Series/Report:iConference 2020 Proceedings
Genre:Conference Poster
Type:Text
image
Language:English
URI:http://hdl.handle.net/2142/106577
Rights Information:Copyright 2020 Wenhua Ai, Zhenyue Zhao, and Jiang Li
Date Available in IDEALS:2020-03-17


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