Robotics and artificial intelligence applications in neurorehabilitation: a bibliometric analysis (2003–2025)
Robotic and AI-assisted neurorehabilitation has demonstrated exponential growth, reflecting both technological innovation and clinical translation. Stroke rehabilitation and gait training remain central themes, while emerging areas such as AI-based assessment systems, wearable sensors, and tele-rehabilitation suggest future directions. To our knowledge, this study provides a comprehensive bibliometric overview specifically centred on robotics and artificial intelligence applications in neurorehabilitation, offering strategic insights for guiding future research and clinical integration.
Authors
- Cengiz Taşkaya (ORCID: https://orcid.org/0000-0002-1162-9731)
- Burhan Taşkaya
Institutions
- Muş Alparslan University (TR)
Publication Details
- Journal
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2026-01-04
- DOI
- https://doi.org/10.1186/s12984-025-01870-y
- Citations
- 2
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 56.21