Electronic health records: Three decades of bibliometric research productivity analysis and some insights

Abstract

This study aimed to assess the scientific literature published on “Electronic health records (EHRs)” using bibliometric techniques. The Web of Science Core Collection (WOSCC) database was used for data extraction. Biblioshiny, BibExcel, Gephi, and VOS viewer open-source tools analyzed and visualized the data. The results present the overall performance of EHR research scholars, i.e., types of documents, citation trends, most cited documents, most productive authors, countries, and organizations, most relevant sources of publications, and authorship and collaboration patterns. A total of 15,075 papers were selected. The most productive year was 2021 (n = 2312), the highest number of citations (n = 30,899) was recorded in 2016 for 1104 publications, and the year 2020 had the highest number of total cited publications (n = 1664). The average citations per publication (C/P) and the average citations per cited publication (C/CP) were the highest in 2006 (C/P = 51.53 and C/CP = 52.79). Five authors published the highest number of documents (n = 2134) and cited publications (n = 1775) and received 31,153 citations. This is followed by four authors who contributed 2016 documents and 1693 cited documents and had 29,754 citations. Harvard University contributed the highest number of publications (TP = 1940) and had the most citations (TC = 48,845) among all organizations. The United States of America led all countries with TP = 11,727 and TC = 207,735. Bates DW from the United States of America contributed the highest number of research articles (104) and received 4905 citations, followed by Denny JC. He contributed TP = 86 and received the highest citations (TC = 4921) among all authors. The Journal of the American Medical Information Association (IF = 4.112) published the highest number of documents (n = 672) and received (22,378) the most citations.

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