Tracing the Landscape of Research in Scientometrics and Related Metric Areas
Bibliography. Library science. Information resources
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AbstractAmong 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 &ldquo;Garfield-Moed&rdquo;, &ldquo;Egghe-Rousseau&rdquo;, and &ldquo;Egghe-Hirsch&rdquo; 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 &ldquo;Kousha&rdquo; which has made a crucial rule in the development of webomtrics&rsquo; cluster.