VISUALIZATION OF KNOWLEDGE FLOW IN INTERPERSONAL SCIENTIFIC COLLABORATION NETWORK ENDOCRINOLOGY AND METABOLISM RESEARCH INSTITUTE

Background: A key aspect of Scientific collaboration increases scientific productivity. This study aimed to draw up a scientific collaboration network of the Endocrinology and Metabolism Research Institute (EMRI) at Tehran University of Medical Sciences. Methods: A Descriptive Cross-Sectional Study was conducted by the Scientometrics method. Data collection from the Scopus and Web of Science Core collection databases between 2002 until 30 October 2020. MS-Excel, HistCite, VOSviewer, and ScientoPy were used for descriptive statistics and data analysis. Results: A total of 4190 records with the affiliation of the EMRI are indexed in two international databases. All of the records received a sum of 89480 citations. The EMRI Researchers were published in 1118 journals. The annual growth rate of publication and citation of the scientific output of the EMRI was 20.3% and 22.7%, respectively. A total of 17662 authors from 186 countries participated in the publication. The co-authorship pattern shows. The next section of the Study was classified and visualized based on authorship (institutes and country of affiliation), keywords (co-occurrence and trend). Conclusion: Overall, these results indicate that the pattern of collaborations in the authorships' articles increases the flow of knowledge among the institute's researchers as a result of international collaborations, interaction with leading countries, and interdisciplinary collaborations. To develop a full picture of co-authorship, additional studies will need a comprehensive picture of network cooperation to analyze the situation with other social network analysis indicators.