Journal of Management Information Systems
Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation
IEEE Transactions on Visualization and Computer Graphics
Journal of the American Society for Information Science and Technology
Applying centrality measures to impact analysis: A coauthorship network analysis
Journal of the American Society for Information Science and Technology
New indicators for gender studies in Web networks
Information Processing and Management: an International Journal - Special issue: Infometrics
Networks: An Introduction
Annual Review of Information Science and Technology
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This research examines the association of co-authorship network centrality (degree, closeness and betweeness) and the academic research performance of chemistry researchers in Pakistan. Higher centrality in the co-authorship network is hypothesized to be positively related to performance, in terms of academic publication, with gender having a positive moderating effect for female researchers. Using social network analysis, this study examines the bibliometric data (2002---2009) from ISI Web of Science for the co-authorship network of 2,027 Pakistani authors publishing in the field of Chemistry. A non-temporal analysis using node-level regression reports positive impact of degree and closeness and negative impact of betweeness centrality on research performance. Temporal analysis using node-level regression (time 1: 2002---2005; time 2: 2006---2009) confirms the direction of causality and demonstrates the positive association of degree and closeness centrality on research performance. Findings indicate a moderating role of gender on the relationship of both degree and closeness centrality with research performance for Pakistani female authors.