ABSTRACT

In the field of rheumatology, spectacular advances have been observed in digital health technologies, including electronic health records, virtual visits, mobile health, wearable technology, digital treatments, artificial intelligence (AI), and machine learning.

We conducted bibliometric analysis in the field of “AI in rheumatology”. The entire bibliometric study was conducted on 16.01.2023. The Web of Science (WoS) database was scanned from 1975 to 2023. The data were accessed by typing the keyword “AI” in the first line of the research row (406.807 documents) and adding the keyword “rheumatology” in the second line (146 documents). A total of 146 publications were analyzed. The data were analyzed as publication year, document types, authors, WoS category, affiliation, publication titles, countries/areas, publishers, and citation report (number of total citations, number of cited articles, and h-index).

In this field, 40 (27.3%) articles were published in 2022, 29 (19.8%) in 2021, 30 (20.5) articles in 2020, and 17 (11.6%) articles in 2019. Document types were; article (n=65/44.5%), meeting abstract (n=35/23.9%), review article (n=34/23.2%) etc. According to the WoS category, 73.2% were in rheumatology, 6.8% were in Medicine General Internal, 5.4% were in Computer Science AI, etc... When we look at the total number of articles from countries, the USA (n=35) England (n=28), and Germany (n=19) take the first place. Among 146 publications, the number of cited articles was 1.067 (without self-citations 1.037), times cited was 1.184 (without self-citations 1.124) with h-index=16.

Bibliometric analysis of AI in the field of rheumatology will be useful as it creates awareness and provides an objective perspective to the research field.

Keywords: Artificial intelligence, bibliometrics, rheumatology, bibliometric analysis