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Transforming tennis with artificial intelligence: a bibliometric review

2024Journal article Open access
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dc.contributor.authorSampaio, Tatiana
dc.contributor.authorOliveira, João P.
dc.contributor.authorMarinho, D.A.
dc.contributor.authorNeiva, Henrique P.
dc.contributor.authorMorais, J.E.
dc.date.accessioned2025-01-13T12:18:47Z
dc.date.available2025-01-13T12:18:47Z
dc.date.issued2024
dc.description.abstractThe 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).pt_PT
dc.description.sponsorshipThe author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by national funds (FCT–Portuguese Foundation for Science and Technology) under the project UIDB/DTP/04045/2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSampaio, 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. 1-12pt_PT
dc.identifier.doi10.3389/fspor.2024.1456998pt_PT
dc.identifier.eissn2624-9367
dc.identifier.urihttp://hdl.handle.net/10198/30941
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFrontierspt_PT
dc.relationResearch Center in Sports Sciences, Health and Human Development
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMachine learningpt_PT
dc.subjectDeep learningpt_PT
dc.subjectArtificial intelligencept_PT
dc.subjectSportpt_PT
dc.subjectTennispt_PT
dc.subjectResearch Subject Categories::INTERDISCIPLINARY RESEARCH AREAS::Sportspt_PT
dc.titleTransforming tennis with artificial intelligence: a bibliometric reviewpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Center in Sports Sciences, Health and Human Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04045%2F2020/PT
oaire.citation.endPage12pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleFrontiers in Sports and Active Livingpt_PT
oaire.citation.volume6pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSampaio
person.familyNameMorais
person.givenNameTatiana
person.givenNameJ.E.
person.identifier867179
person.identifier.ciencia-idAA12-BF58-EE60
person.identifier.orcid0000-0001-8548-2907
person.identifier.orcid0000-0002-6885-0648
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication04e290ae-a93f-4d0b-a577-badc8e1067af
relation.isAuthorOfPublication80b13e62-254d-4d46-ad90-8b509ab523a8
relation.isAuthorOfPublication.latestForDiscovery80b13e62-254d-4d46-ad90-8b509ab523a8
relation.isProjectOfPublicationb305d97a-cacc-41ea-9c2b-e6554b5ee167
relation.isProjectOfPublication.latestForDiscoveryb305d97a-cacc-41ea-9c2b-e6554b5ee167

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