Abstract
Abstract: Artificial intelligence stands out as a rapidly developing technology that offers innovative solutions in various fields and disciplines. The aim of this study is to discover various research trends related to artificial intelligence in sports science using bibliometric analysis, one of the quantitative research methods, and to determine the scope of potential future research. A search was conducted in the Web of Knowledge Web database using the keyword "artificial intelligence" in the research titles. The study covered a 27-year period from 1997 to 2024. As a result of the search, bibliometric data from 5,142 academic studies were obtained, and 149 articles were used in the study after limiting the scope to the “Sports Science Discipline.” The research topics and trends of the academic publications examined in the study were visually mapped using keywords in the publications. The analysis revealed that the countries producing the most works were the United States (13), Germany and China (6), and Italy and Austria (5). Within the scope of the subject, the authors with the most citations were Ismail Dergaa (172), Karim Chamari (163), Helmi Ben Saad, and Piotr Zemijewski (155). In the keyword analysis, artificial intelligence was cited 31 times, followed by “machine learning” with 10 occurrences, “deep learning” with 5 occurrences, ‘AI’ with 4 occurrences, and “sports medicine,” “anterior cruciate liga-ment,” and “neural networks” with 3 occurrences each. It is anticipated that this study will provide a broad framework for researchers in the field and contribute to the field.
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Details
| Primary Language | English |
|---|---|
| Subjects | Sports Training |
| Journal Section | Research Article |
| Authors | |
| Submission Date | August 21, 2025 |
| Acceptance Date | November 18, 2025 |
| Early Pub Date | December 15, 2025 |
| Published in Issue | Year 2025 Issue: Advanced Online Publication |
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