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.
Khasseh,A A and Soheili,F . (2018). Tracing the Landscape of Research in Scientometrics and Related Metric Areas. Iranian Journal of Information Processing and Management, 33(3), 941-966. doi: 10.35050/JIPM010.2018.036
MLA
Khasseh,A A , and Soheili,F . "Tracing the Landscape of Research in Scientometrics and Related Metric Areas", Iranian Journal of Information Processing and Management, 33, 3, 2018, 941-966. doi: 10.35050/JIPM010.2018.036
HARVARD
Khasseh A A, Soheili F. (2018). 'Tracing the Landscape of Research in Scientometrics and Related Metric Areas', Iranian Journal of Information Processing and Management, 33(3), pp. 941-966. doi: 10.35050/JIPM010.2018.036
CHICAGO
A A Khasseh and F Soheili, "Tracing the Landscape of Research in Scientometrics and Related Metric Areas," Iranian Journal of Information Processing and Management, 33 3 (2018): 941-966, doi: 10.35050/JIPM010.2018.036
VANCOUVER
Khasseh A A, Soheili F. Tracing the Landscape of Research in Scientometrics and Related Metric Areas. Iranian Journal of Information Processing and Management. 2018;33(3):941-966 (In Persian). doi: 10.35050/JIPM010.2018.036
