Exploring the Structure of Growth and Maturation Research Among Basketball Players Using R Tools
This study presents a comprehensive bibliometric analysis of growth and maturation (GAM) research in youth basketball. A systematic search of Web of Science (up to August 2024) identified 1160 records; after screening per bibliometric review guidelines, 141 relevant studies were selected. Descriptive analysis indicates an 11.59% annual increase in GAM publications since 2003, underscoring significant expansion of this field. The 576 authors contributing to these studies show a high degree of collaboration, averaging 5.42 co-authors per paper, and 52.60% of publications involve international partnerships. Citation network analysis reveals that GAM research on basketball players predominantly addresses sports performance, strength, and injuries. Core themes (e.g., maturity/maturation) are well integrated, while foundational topics such as growth, strength, and age, although central to the field, remain underexplored. These gaps highlight the need for more targeted investigations. Practically, the findings guide coaches, trainers, and sports administrators in designing developmentally appropriate training programs, implementing targeted injury-prevention strategies, and refining talent identification initiatives. By identifying key areas for further inquiry, this study seeks to strengthen youth basketball programs through growth-stage-specific training methods, optimized injury-prevention protocols, and a holistic approach to athlete development.
Authors
- Nuno Leite (ORCID: https://orcid.org/0000-0001-5181-6390)
- Jorge Arede (ORCID: https://orcid.org/0000-0003-2267-1182)
- Ximing Shang (ORCID: https://orcid.org/0000-0003-3855-2006)
Institutions
- University of Trás-os-Montes and Alto Douro (PT)
- Association for the Development of Douro Viticulture (PT)
- Polytechnic Institute of Viseu (PT)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-04-16
- DOI
- https://doi.org/10.3390/app15084411
- Citations
- 3
- Primary Topic
- Sports Analytics and Performance
- Type
- article
- Field-Weighted Citation Impact
- 9.39