2011
DOI: 10.1016/j.joi.2011.05.007
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Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures

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Cited by 363 publications
(278 citation statements)
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References 44 publications
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“…23 Supporting this theory, empirical studies have found that highly productive researchers are those with the highest numbers of research collaborators. 24 Cross and colleagues (2004), however, found that colleague network size may function independently from scientific output such as published manuscripts and grants awarded. 25 Coauthor networks within an organization may be influenced by factors such as the number of coauthors per publication, faculty publishing repeatedly with the same coauthors or widely with a larger set of coauthors, and the proportion of coauthors within versus outside the organization.…”
Section: Introductionmentioning
confidence: 99%
“…23 Supporting this theory, empirical studies have found that highly productive researchers are those with the highest numbers of research collaborators. 24 Cross and colleagues (2004), however, found that colleague network size may function independently from scientific output such as published manuscripts and grants awarded. 25 Coauthor networks within an organization may be influenced by factors such as the number of coauthors per publication, faculty publishing repeatedly with the same coauthors or widely with a larger set of coauthors, and the proportion of coauthors within versus outside the organization.…”
Section: Introductionmentioning
confidence: 99%
“…For example, degree centrality is an important predictor of individual performance in virtual R&D teams [32] and contributes to the diffusion of Youtube videos [33]. The eigenvector centrality improve group performance and leader reputation [34], increase scholar productivity [35], and boost salesperson performance [36]. In the context of our study, degree and eigenvector centralities allow us better examine how the "status" or prominence of a node in the network can influence the success of campaigns.…”
Section: Social Network Theorymentioning
confidence: 96%
“…Another recent study led by Abramo, D'Angelo, and Solazzi (2011) demonstrated the positive relationship between the degree of international collaboration and the quantity and quality of Italian university researchers. Notable studies reporting similar findings also include Persson, Glanzel, and Danell (2004), Barjak and Robinson (2007), He, Geng, and Campbell-Hunt (2009) and Abbasia, Altmannb, and Hossaina (2011).…”
Section: Introductionmentioning
confidence: 91%