Bibliometric Analysis of Studies on The Rehabilitation of Disabled Athletes Through Visual Mapping
Year: 2024
Type: article
Abstract: CONTEXT: The rehabilitation of disabled athletes is a critical area of research aimed at improving athletes' performance and well-being. This bibliometric analysis examines scientific studies related to the rehabilitation of disabled athletes, focusing on trends, authors, publications and interdisciplinary collaborations. OBJECTIVE: This study seeks to provide quantitative and qualitative insights into the trends, interdisciplinary collaborations, and significant contributions in the rehabilitation of disabled athletes. DESIGN: Bibliometric analysis of 660 scientific publications related to the rehabilitation of disabled athletes, from 1975 to 2023. SETTING: The analysis reveals that research in this field is multidisciplinary, encompassing sports, medicine, rehabilitation and education. Studies focused on disabled athletes and their rehabilitation. INTERVENTION: Rehabilitation plays a vital role in disabled athletes' lives, aiding in injury recovery and enhancing overall health and performance. RESULTS: The United States leads in research output. Collaborative networks among authors are evident, indicating joint research efforts. Identification of research trends, prominent authors Bartosz Molik and Natalia Morgulec-Adamowicz), collaborative networks and common keywords (e.g., adaptive sports, disability, rehabilitation). Keywords such as adaptive sports, disability and rehabilitation are frequently mentioned, reflecting the focus of research. CONCLUSIONS: The rehabilitation of disabled athletes is a growing field with significant contributions from researchers worldwide. Collaborative efforts and interdisciplinary approaches are essential for advancing knowledge and improving the lives of disabled athletes.
Source: Journal of Sport Rehabilitation
Author: Muhammed Yildiz
Institution: Artvin Coruh University
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W4404742043