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Advisor(s)
Abstract(s)
The aim of this study was to conduct a scoping and bibliometric review of
articles using artificial intelligence (AI) in tennis. The analysis covered various
aspects of tennis, including performance, health, match results, physiological
data, tennis expenditure, and prize amounts. Articles on AI in tennis published
until 2024 were retrieved from the Web of Science database. A total of 389
records were screened, and 108 articles were retained for analysis. The
analysis identified intermittent gaps in publication output during certain
intervals, notably in the years 2007–2008 and 2012–2013. From 2012 onward,
there was a clear upward trend in publications and citations, peaking in 2022.
The theme was led by China, the United States, and Australia. These countries
maintain their status as the top contributors in terms of publications. The
analysis of author collaborations revealed multiple clusters, with notable
contributions from researchers in China, Australia, Japan, and the United
States. This bibliometric review has elucidated the evolution of AI research in
tennis, highlighting the countries and authors that have significantly
contributed to this field over the years. The prediction model suggests that the
number of articles and citations on this topic will continue to increase over
the next decade (until 2034).
Description
Keywords
Machine learning Deep learning Artificial intelligence Sport Tennis Research Subject Categories::INTERDISCIPLINARY RESEARCH AREAS::Sports
Pedagogical Context
Citation
Sampaio, Tatiana; Oliveira, João P.; Marinho, D.A.; Neiva, Henrique P.; Morais, J.E. (2024). Transforming tennis with artificial intelligence: a bibliometric review. Frontiers in Sports and Active Living. eISSN 2624-9367. 6, p. 1-12
Publisher
Frontiers