Iranian Journal of Information Processing & Management (Jun 2018)
Tracing the Landscape of Research in Scientometrics and Related Metric Areas
Abstract
Among the prevalent topics in Knowledge and Information Science, the scientometrics studies are of special interest. Applying co-citation analysis, this study investigated the landscape of research in scientometrics and related metric areas and revealed the fundamental themes of it. The initial data of this study (including scientometrics-related documents) have been extracted from the Web of Science. Following the analysis of author co-citation frequency, correlation matrix, and dendrogram, results indicated that the co-citation pairs of “Garfield-Moed”, “Egghe-Rousseau”, and “Egghe-Hirsch” received the highest frequency among other pairs. Moreover, using hierarchical clustering led to the tracing primary themes in scientometrics research. One of interesting findings in this research is a researcher named “Kousha” which has made a crucial rule in the development of webomtrics’ cluster.