1Department of Physiotherapy, M. Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Jalan Sungai Long, Bandar Sungai Long, 43000, Kajang, Selangor, Malaysia
2Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Jalan Sungai Long, Bandar Sungai Long, 43000, Kajang, Selangor, Malaysia
*Corresponding Author E-mail: kamalak@utar.edu.my
This study presents a bibliometric analysis of virtual reality applications in hand assessment to identify research trends, influential authors, key publications, and thematic evolution within this field. Using Scopus data from 2020–2025, citation patterns, keyword co-occurrence, and collaboration networks were analyzed to map the intellectual landscape. Findings reveal major contributors, impactful journals, and emerging research themes shaping this area. The analysis highlights dominant research clusters and knowledge evolution, offering insights for future work. Additionally, geographical distribution and collaboration networks emphasize the global scope of this research. These findings hold implications for academics, policymakers, and practitioners in advancing evidence-based VR rehabilitation research.
Bibliometric analysis, Hand assessment, Virtual reality, Rehabilitation, Research trends, Motor rehabilitation, Neurorehabilitation, Clinical assessment tools