Institutional cooperations in Austrian research: An analysis of shared researchers
Christoph Schlager, Lutz Bornmann, Gerald Schweiger

TL;DR
This study introduces a network-based framework to analyze shared researcher affiliations in Austria, revealing how geography and sector influence co-affiliation patterns and their impact on organizational research visibility.
Contribution
It develops a scalable, network-based analytical approach to systematically examine the implications of multiple organizational affiliations in research systems.
Findings
Geographical proximity influences co-affiliation formation.
Universities form a dense core of persistent co-affiliations.
Persistent co-affiliations correlate with higher citation impact.
Abstract
Multiple organisational affiliations are an increasingly common feature of research systems, yet their implications for organisational performance had received limited systematic attention. We developed a scalable, network-based analytical framework that represents simultaneous researcher affiliations as relational links between organisations and applied it to bibliometric data from Austria. Using harmonised publication and affiliation metadata, we constructed two complementary co-affiliation networks: a complete network capturing all simultaneous affiliations and a temporally filtered network retaining only organisational pairs that recurred over time. Network regression analyses showed that geographical proximity remained an important determinant of co-affiliation formation, with spatial distance consistently reducing shared appointments. Clear sectoral differences emerged beyond…
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Taxonomy
Topicsscientometrics and bibliometrics research · Research Data Management Practices · Interdisciplinary Research and Collaboration
