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

Qing Xie, Xinyuan Zhang, Giyeong Kim, Min Song

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1 Citation (Scopus)


Research studies have found that coauthorship with top scientists positively correlates with researchers' career advancement. However, the influence of different proximities and types of coauthorship 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' affiliation 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 scientists 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.

Original languageEnglish
Article number101314
JournalJournal of Informetrics
Issue number3
Publication statusPublished - 2022 Aug

Bibliographical note

Funding Information:
This work was partially funded by the Ministry of Education of the Republic of Korea , the National Research Foundation of Korea ( NRF-2020S1A5B1104865 ) and the National Natural Science Foundation of China (NSFC) Grant No. 72104220 .

Publisher Copyright:
© 2022 Elsevier Ltd.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Library and Information Sciences


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