Abdulhakim Elkurdi

University of Salford

Papers

1

Total Citations

6

H-Index

1

About

Abdulhakim Elkurdi’s research sits at the intersection of rehabilitation robotics, movement analysis, and assistive technologies, with a focus on improving quality of life for individuals affected by stroke and dementia. His most-cited work, a 2019 review on soft and hard robotics for movement rehabilitation, provides a comprehensive overview of how robotic systems—from rigid exoskeletons to flexible, soft actuators—can aid therapists in assessing and delivering therapy to patients with neurological disabilities. By synthesizing decades of progress in the field, Elkurdi highlights the potential of robotics to offer personalized, repeatable, and data-driven rehabilitation, addressing a critical need given that dementia and stroke are leading causes of disability in the UK. Though his citation count is still growing, his contribution lies in bridging engineering and clinical practice, offering a roadmap for future innovations in movement analysis and modelling. His work underscores the importance of interdisciplinary approaches in rehabilitation, making him a thoughtful voice in the ongoing effort to integrate robotics into patient care.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Soft and Hard Robotics for Movement Rehabilitation, Analysis and Modelling
6 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Salford

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago