A bibliometrics analysis of researcher’s impact in Singapore Universities : individual and departments.

• Main Authors: Tan, Xiang Jiun., Toh, Yee Bien., Lam, Wen Hou.
• Other Authors: School of Humanities and Social Sciences
• Format: Final Year Project
• Language: English
• Published: 2013
• Subjects: DRNTU::Library and information science::Knowledge management; DRNTU::Social sciences::Economic theory
• Online Access: http://hdl.handle.net/10356/54986
• Institution: Nanyang Technological University

In this study, we develop a hypothetical model based on social network theories and bibliometrics analytical methods to understand the collaboration network of researchers in Singapore’s universities. We use connectivity measures, Ties from Social Network Analysis (SNA) as a proxy for weak ties, and collaboration count from bibliometrics analysis as a proxy for strong ties, to assess the overall performance of researchers. Other bibliometrics analysis variables used are citation count and article count as proxies for quality and quantity respectively. Computation of H-index and H-bar-index will be used as proxies for researcher’s productivity with the latter limiting the effects of spillover. Our results from Ordinary Least Squares (OLS) regression models suggest that the performance of researchers in terms of productivity, article production rate and citation count is positively correlated with the two measures of connectivity. Generally, the results also show that work experience is positively correlated with performance, albeit it is weakly demonstrated when researchers are analysed in terms of different departments. Therefore, we can conclude that the social network of researchers is a gauge to predict the performance of researchers and we can draw implications for researchers from each department.