Gilad Magnazi

Papers

1

Total Citations

10

H-Index

1

About

Gilad Magnazi is a leading figure in the field of robotic neurorehabilitation, with a focused expertise in developing quantitative assessment tools for stroke recovery. His seminal work centers on the ReoGo Therapy™ system, a robotic platform designed to deliver and evaluate upper-limb rehabilitation for stroke victims. Magnazi’s major contribution lies in bridging the gap between therapy and diagnosis; his most-cited paper (2009, 10 citations) established the reliability and validity of novel robotic scores derived from the ReoGo system. This work provides clinicians with objective, data-driven metrics to guide personalized therapy, moving beyond subjective observation. By creating a tool that can quantitatively diagnose motor impairment during robotic treatment, Magnazi has helped lay the groundwork for more precise, adaptive rehabilitation protocols. His research directly addresses the critical need for measurable outcomes in robotic therapy, ensuring that technological advances translate into tangible patient benefits. Through these efforts, Magnazi has positioned himself as a key innovator in the intersection of robotics, assessment, and clinical practice, offering a pathway to more effective, evidence-based stroke rehabilitation.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Reo assessment to guide the ReoGo Therapy: Reliability and validity of novel robotic scores
10 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago