The continuity and citation impact of scientific collaboration with different gender composition

Hongquan Shen, Juan Xie, Weiyi Ao and Ying Cheng

Journal of Informetrics, 2022, vol. 16, issue 1

Abstract: Scientific collaboration has become an important approach for knowledge production and innovation and has received wide attention. Although gender, a demographic characteristic of scientists, has been found to influence scientific collaboration, little research has associated gender with continuous collaboration. In the current study, we classified collaboration pairs by the genders of the two collaborators and explored the relationships among gender composition, collaboration continuity, and citation impact using regression analyses. Female scholars were found to limit continuity for the collaboration pair. The results also showed that inter-gender collaborations were less continuous than intra-gender collaborations after considering the gender difference in individual persistence. In addition, we showed that the relationship between continuity and citation impact was significantly positive, and was stronger if the collaboration pairs included female scholars. This study provides a deeper understanding of gender-related scientific collaboration. It also provides continuity-related suggestions for researchers in inter-gender collaborations.

Keywords: Scientific collaboration; Continuity; Gender; Citation impact; Team science (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S175115772100119X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:16:y:2022:i:1:s175115772100119x

DOI: 10.1016/j.joi.2021.101248

Access Statistics for this article

Journal of Informetrics is currently edited by Leo Egghe

More articles in Journal of Informetrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().