Scientometric analysis: Insights into Austin Health researchers scientific productivity and influence

Abstract

Aim Research at Austin Health continues to positively impact treatment and care for patients. According tothe 2020-2021 annual report, an average of 43 research papers are published a week. This scientometric study was designed to assess Austin Health’s scientific productivity as indexed in Scopus.

Methods This study was conducted by extracting Austin Healthpublications indexed in the Scopus citation database from 1931 to the end of June 2022. All documents were retrieved by using a developed search strategy. Complete bibliographic information of the documents was extracted for illustrationand drawing maps.Retrieved citation data were subjected to scientometric data analysis techniques. Excel and Vosviewer were used for data analysis. Data visualization hasbeen done using Vosviewer scientometric software.

Results Findings show that a total of 18,519 documents have been published and indexed in Scopus by researchers from Austin Health in the last 70 years (1931-2022). Austin Health publications have increased during the years under review, and the most scientific productions have been in 2015 and 2017,.Furthermore, analysis shows the top 10 most highly cited papers, most influential authors, most influential partner institutes and partner countries, and top sponsors of the research works. These papers have played an essential role in disseminating information, impacting treatment, and controlling of health management resources. In addition, a keyword co-occurrence map and a co-authorship map are depicted based on retrieved publications.

Conclusion This research provides extensive insights into publication patterns, research impact and research productivity of Austin Health researchers. The results of this study can be used as a guide for determining research priorities, and also for planning and management in research performance evaluation. In addition, via co-authorship analysis and keyword co-occurrence analysis, Austin Health could understand and assess scientific collaboration patterns. It provides relevant scientific information for strategic planning.