Review Articles on Soccer Performance Analysis: A Bibliometric Analysis of Current Trends and Emerging Themes DOI Creative Commons
Spyridon Plakias

Sports, Journal Year: 2025, Volume and Issue: 13(5), P. 131 - 131

Published: April 24, 2025

Objectives: This study aimed to analyze review articles on soccer performance analysis (PA) using a bibliometric approach address three main research questions: (a) How has the publication of related PA evolved over time? (b) Which authors and journals have been most influential in this field what are collaboration networks between them? (c) What dominant topics, methodological issues, gaps relevant literature? Methods: A systematic search was conducted Scopus database 24 January 2025, comprehensive Boolean expression identify articles. The extracted data were analyzed VOSviewer (1.6.20.0). We employed analysis, science mapping, clustering techniques including co-authorship, co-occurrence, bibliographic coupling, co-citation analyses. Results: included 314 articles, demonstrating an exponential increase publications since 2017. journal Sports Medicine, while leading F. M. Clemente H. Sarmento. Co-occurrence revealed five thematic clusters covering physical performance, nutrition, coaching strategies, tactical emerging data-driven approaches. Notably, significant literature identified areas set pieces, key indicators, contextual variables. Conclusions: creating map PA, highlights diverse interdisciplinary nature research, identifies literature, offers practical considerations for researchers editors aiming advance PA.

Language: Английский

Artificial Intelligence in the Diagnosis of Neurological Diseases Using Biomechanical and Gait Analysis Data: A Scopus-Based Bibliometric Analysis DOI Creative Commons

Aikaterini A. Tsiara,

Spyridon Plakias, Christos Kokkotis

et al.

Neurology International, Journal Year: 2025, Volume and Issue: 17(3), P. 45 - 45

Published: March 20, 2025

Neurological diseases are increasingly diverse and prevalent, presenting significant challenges for their timely accurate diagnosis. The aim of the present study is to conduct a bibliometric analysis literature review in field neurology explore advancements application artificial intelligence (AI) techniques, including machine learning (ML) deep (DL). Using VOSviewer software (version 1.6.20.0) documents retrieved from Scopus database, included 113 articles published between 1 January 2018 31 December 2024. Key journals, authors, research collaborations were identified, highlighting major contributions field. Science mapping investigated areas focus, such as biomechanical data gait AI methodologies neurological disease Co-occurrence author keywords allowed identification four themes: (a) analysis; (b) sensors wearable health technologies; (c) cognitive disorders; (d) disorders motion recognition technologies. insights demonstrate growing but relatively limited collaborative interest this domain, with only few highly cited documents, journals driving research. Meanwhile, highlights current This offers foundation future provides researchers, clinicians, occupational therapists an in-depth understanding AI’s potentially transformative role neurology.

Language: Английский

Citations

0
Review Articles on Soccer Performance Analysis: A Bibliometric Analysis of Current Trends and Emerging Themes DOI Creative Commons
Spyridon Plakias

Sports, Journal Year: 2025, Volume and Issue: 13(5), P. 131 - 131

Published: April 24, 2025

Objectives: This study aimed to analyze review articles on soccer performance analysis (PA) using a bibliometric approach address three main research questions: (a) How has the publication of related PA evolved over time? (b) Which authors and journals have been most influential in this field what are collaboration networks between them? (c) What dominant topics, methodological issues, gaps relevant literature? Methods: A systematic search was conducted Scopus database 24 January 2025, comprehensive Boolean expression identify articles. The extracted data were analyzed VOSviewer (1.6.20.0). We employed analysis, science mapping, clustering techniques including co-authorship, co-occurrence, bibliographic coupling, co-citation analyses. Results: included 314 articles, demonstrating an exponential increase publications since 2017. journal Sports Medicine, while leading F. M. Clemente H. Sarmento. Co-occurrence revealed five thematic clusters covering physical performance, nutrition, coaching strategies, tactical emerging data-driven approaches. Notably, significant literature identified areas set pieces, key indicators, contextual variables. Conclusions: creating map PA, highlights diverse interdisciplinary nature research, identifies literature, offers practical considerations for researchers editors aiming advance PA.

Language: Английский

Citations

0