Exploring the influence of coauthorship with top scientists on researchers' affiliation, research topic, productivity, and impact

被引:3
|
作者
Xie, Qing [1 ]
Zhang, Xinyuan [2 ]
Kim, Giyeong [3 ]
Song, Min [3 ]
机构
[1] Shenzhen Polytech, Sch Management, Shenzhen 518055, Guangdong, Peoples R China
[2] Zhengzhou Univ, Henan Acad Big Data, Zhengzhou Key Lab Big Data Anal & Applicat, 75 Daxuebei Ro, Zhengzhou 450000, Henan, Peoples R China
[3] Yonsei Univ, Dept Lib & Informat Sci, 50 Yonsei Ro, Seoul 03722, South Korea
基金
新加坡国家研究基金会; 中国国家自然科学基金;
关键词
Coauthorship closeness; Co-authorship type; Awardees as top scientists; Scientist performance indicators; COLLABORATION PATTERNS; SHOULDERS; NETWORKS;
D O I
10.1016/j.joi.2022.101314
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Research studies have found that coauthorship with top scientists positively correlates with re-searchers' career advancement. However, the influence of different proximities and types of coau-thorship with top scientists on their performance has rarely been discussed. We identified the winners of four awards as top authors. We also evaluated the effect on the researchers' affilia-tion change, research topic, productivity, and impact before and after three top-ordinary scientist coauthorship types (strong, moderate, and weak), examining the effect after top-top and ordinary -ordinary scientist coauthorships. Additionally, a coauthorship closeness indicator was proposed, considering the team size and author role to measure the collaboration relationship between coauthors. The results reveal that the top scientist in strong coauthorship obtained the highest affiliation change rate. For the top-ordinary coauthorship, the affiliation change rate for top scien-tists is higher than for ordinary scientists. For other aspects (the coauthor number, research topic, productivity, and impact), the rate after strong and moderate coauthorships increases compared to weak top-ordinary coauthorship type for top and ordinary scientists. Therefore, top scientists obtain a partner with skills, and ordinary scientists obtain more guidance. Strong and moderate coauthorships are win-win relationships for top-ordinary coauthorship types.
引用
收藏
页数:15
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