Artículo

Dataset for bibliometric data-driven research team formation: Case of Politehnica University of Timisoara scholars for the interval 2010–2022

Resumen

Data-driven expert team formation is a complicated and multifaceted process that requires access to accurate information to identify researchers’ areas and level of expertise and their collaborative prospects. In this respect, bibliometric data represents a valuable and reliable source of information that can be effectively employed in revealing key insights regarding candidates. Due to its complex and complete structure of publication metadata records, IEEE Xplore database may offer the possibility to compute an extensive set of indicators about researchers’ publication production and how they have interacted during time. Considering the case of Politehnica University of Timisoara scholars for the interval 2010–2022, current dataset encapsulates relevant and rich information for assembling multidisciplinary research teams, being also a testing ground for experimenting and calibrating the expert team formation methods and mechanisms.
Avelar, Sónia (57340492800); Tiago, Flávio (36461770200); Couto, João Pedro (23018098700); Borges-Tiago, Teresa (58973945500)
Human Resources Literature After Covid-19: A Human Versus AI Analysis
2024
10.1007/978-3-031-51038-0_31
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196802281&doi=10.1007%2f978-3-031-51038-0_31&partnerID=40&md5=a82350b77d56a04928c242ce3b637011
School of Business and Economics, University of the Azores, Ponta Delgada, 9500-801, Portugal
All Open Access; Hybrid Gold Open Access
Scopus
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