Karima Bakhti

Université de Montpellier, Hôpital Lapeyronie

Papers

2

Total Citations

111

H-Index

2

About

Karima Bakhti’s research sits at the intersection of neurorehabilitation and engineering, focusing on how innovative technologies can restore motor function after stroke. Her work is particularly known for dissecting the complex relationship between true motor learning and functional recovery—a distinction critical for designing effective robotic therapies. In her landmark 2018 study, Bakhti used exoskeleton training data to show that performance gains during rehabilitation do not always reflect lasting neural recovery, a finding that has reshaped how clinicians evaluate robotic interventions. This paper has garnered 57 citations, underscoring its influence on both rehabilitation science and device design. Her earlier 2014 review, with 54 citations, provided a comprehensive roadmap of emerging technologies—from neuromuscular stimulation to robotic exoskeletons—and their clinical validation, serving as a foundational resource for researchers entering the field. Bakhti’s contributions have helped move stroke rehabilitation beyond simple assistive devices toward data-driven, personalized therapy. Her work is essential reading for anyone interested in how technology can truly augment, rather than merely replace, lost motor function.

Research Focus

Key Achievements

2
H-Index
2
Papers
111
Total Citations
56
Avg Citations/Paper
🏆 Most Cited Paper
Dissociating motor learning from recovery in exoskeleton training post-stroke
57 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Université de Montpellier, Hôpital Lapeyronie

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago