Vol. 6, Issue 1, Part A (2024)

This bibliometric analysis delves into the influence of video modeling in sports performance through a systematic examination of 557 documents within the "Sports Science" category on the Web of Science database. The search, employing key terms like "video modeling," "sports performance," and "skill acquisition," resulted in the selection of 10 documents for detailed analysis. The study showcases a sustained interest in the field, evidenced by a steady annual growth rate of 3.72%. The dataset's diversity, including articles, meeting abstracts, and reviews, underscores an evolving approach to disseminating knowledge. Collaborative dynamics are highlighted by 37 unique authors and a significant international co-authorship rate of 30%, emphasizing global cooperation in advancing understanding. The temporal evolution of research, reflected in annual scientific production trends, suggests varied periods of focus, with notable peaks in 2018, a resurgence in 2020, and a substantial increase in 2022 and 2023. The country-wise distribution positions the USA as a frontrunner with six contributions, while collaborative efforts from France, Greece, Tunisia, and the UK illustrate a distributed yet globally collaborative landscape. In conclusion, the study emphasizes the dynamic nature of research in video modeling for sports performance, offering valuable insights for researchers, practitioners, and policymakers.