ReviewInternational journal of environmental research and public health2022
Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review.
Review in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Artificial intelligence and sports genomics: advancing precision sports science and athletic performance.Frontiers in sports and active living · 2026Review
- Machine learning applications in sport: a scoping review.Frontiers in psychology · 2026Review
- [Orthopaedics of the future : AI meets motion analysis: opportunities and risks].Orthopadie (Heidelberg, Germany) · 2025Review
- Unsupervised clustering analysis of treatment strategies for elite female athletes with severe stress urinary incontinence: focusing on competition return and SUI improvement.International urology and nephrology · 2025Article
- Research trends in the field of sport impact on the economy: a bibliometric analysis.Frontiers in sports and active living · 2025Review
- Enhancing biomechanical machine learning with limited data: generating realistic synthetic posture data using generative artificial intelligence.Frontiers in bioengineering and biotechnology · 2024Article
- Transforming tennis with artificial intelligence: a bibliometric review.Frontiers in sports and active living · 2024Review
- Artificial Intelligence Program for Predicting Wrestlers' Sports Performances.Sports (Basel, Switzerland) · 2023Article
- Analysis of Predictive Factors for Return to Sports in Female Athletes With Stress Urinary Incontinence.Cureus · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence and its subcategories of machine learning and deep learning are gaining increasing importance and attention in the context of sports research. This has also meant that the number of corresponding publications has become complex and unmanageably large in human terms. In the current state of the research field, there is a lack of bibliometric analysis, which would prove useful for obtaining insights into the large amounts of available literature. Therefore, the present work aims to identify important research issues, elucidate the conceptual structure of the research field, and unpack the evolutionary trends and the direction of hot topics regarding key themes in the research field of artificial intelligence in sports. Using the Scopus database, 1215 documents (reviews and articles) were selected. Bibliometric analysis was performed using VOSviewer and bibliometrix R package. The main findings are as follows: (a) the literature and research interest concerning AI and its subcategories is growing exponentially; (b) the top 20 most cited works comprise 32.52% of the total citations; (c) the top 10 journals are responsible for 28.64% of all published documents; (d) strong collaborative relationships are present, along with small, isolated collaboration networks of individual institutions; (e) the three most productive countries are China, the USA, and Germany; (f) different research themes can be characterized using author keywords with current trend topics, e.g., in the fields of biomechanics, injury prevention or prediction, new algorithms, and learning approaches. AI research activities in the fields of sports pedagogy, sports sociology, and sports economics seem to have played a subordinate role thus far. Overall, the findings of this study expand knowledge on the research situation as well as the development of research topics regarding the use of artificial intelligence in sports, and may guide researchers to identify currently relevant topics and gaps in the research.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.