Transforming Tennis with Artificial Intelligence: A Bibliometric Review
Author Information
Author(s): Sampaio Tatiana, Oliveira João P., Marinho Daniel A., Neiva Henrique P., Morais Jorge E.
Primary Institution: Department of Sports Sciences, University of Beira Interior, Covilhã, Portugal
Hypothesis
The study aims to conduct a scoping and bibliometric review of articles using artificial intelligence (AI) in tennis.
Conclusion
The bibliometric review shows an overall upward trend in AI research publications and citations in tennis, particularly peaking in 2022 and 2023.
Supporting Evidence
- AI research in tennis has shown an upward trend in publications and citations, particularly peaking in 2022.
- The analysis identified intermittent gaps in publication output during certain intervals.
- China, the United States, and Australia are the top contributors to AI research in tennis.
- The prediction model suggests continued growth in articles and citations on this topic until 2034.
Takeaway
This study looks at how artificial intelligence is being used in tennis and shows that interest in this area is growing.
Methodology
The study used a bibliometric analysis of articles retrieved from the Web of Science database, focusing on various aspects of AI in tennis.
Limitations
The study may not cover all relevant literature due to the specific inclusion criteria and the focus on English-language articles.
Statistical Information
Confidence Interval
95% confidence intervals: −5.30; 32.01 for articles; 69.47; 208.82 for citations.
Digital Object Identifier (DOI)
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