EconPapers    
Economics at your fingertips  
 

Examining the relationship of co-authorship network centrality and gender on academic research performance: the case of chemistry researchers in Pakistan

Kamal Badar (), Julie M. Hite and Yuosre F. Badir
Additional contact information
Kamal Badar: University of Balochistan
Julie M. Hite: Brigham Young University
Yuosre F. Badir: Asian Institute of Technology

Scientometrics, 2013, vol. 94, issue 2, No 19, 755-775

Abstract: Abstract 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.

Keywords: Co-authorship network; Research performance; Network centrality; Gender; Social network analysis; Non-temporal and temporal analysis; Node-level regression (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-012-0764-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:94:y:2013:i:2:d:10.1007_s11192-012-0764-z

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-012-0764-z

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:94:y:2013:i:2:d:10.1007_s11192-012-0764-z