Multi-Affiliated Authors Behave Differently across Fields and Host Country Preferences: A Comparison in G7 and BRICS
Sichao Tong, Liying Yang

TL;DR
This study analyzes the behavior and preferences of multi-affiliated authors across different countries and research fields using bibliometric data from 2017 to 2021, revealing trends in international collaborations and country-specific activity.
Contribution
It introduces a classification for multi-affiliations and provides empirical insights into how authors' affiliations and country preferences vary across fields and over time.
Findings
Decrease in international multi-affiliated publications after 2020
G7 countries dominate social sciences and clinical fields
China, India, and Russia are active in physical sciences
Abstract
This paper study author simultaneously engaged in multiple affiliations based on bibliometric data covered in the Web of Science for the 2017-2021 period. Based on the affiliation information in publication records, we propose a general classification for multiple affiliations within-country or cross-country for analyzing authors' behavior in multiple affiliations and preferences of host countries across research fields. We find a decrease in publications led by international multi-affiliated authorship after 2020, and China has shown a falling trend after 2018. More G7 countries are active in fields like Social Sciences, Clinical and Life Sciences. China, India, and Russia are active in physical sciences-related fields. Countries prefer to affiliate with G7 countries, especially in Clinical and Life Sciences. These findings may provide more insights into the understanding of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
Topicsscientometrics and bibliometrics research
