Papers

18

Total Citations

570

H-Index

13

About

Stefano Mazzon is a leading researcher in neurorehabilitation, specializing in the application of robotic and electromechanical devices to restore motor function after neurological injury. His work systematically evaluates how robotic-assisted gait training (RAGT) and upper limb robotics can improve outcomes for patients with stroke, multiple sclerosis (MS), Parkinson’s disease, and spinal cord injury. Mazzon’s major contributions include producing the first comprehensive clinical guidelines for robotic rehabilitation after stroke—both for lower and upper limbs—bridging the critical gap between research evidence and bedside practice. His highly cited systematic reviews and meta-analyses, such as his 2021 stroke guideline paper (125 citations) and his 2023 meta-analysis on post-stroke balance (44 citations), have shaped international treatment protocols. He has also advanced the field by establishing a standardized classification framework for neurorehabilitation robotics, enabling clearer comparisons across studies. Mazzon’s work on balance and gait in multiple sclerosis and Parkinson’s disease has clarified which patient populations benefit most from robotic therapy, directly informing clinical decision-making. Through his rigorous evidence synthesis, he has become a key voice in translating complex technology into practical, effective rehabilitation strategies.

Research Focus

Key Achievements

13
H-Index
18
Papers
570
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Robotic-assisted gait rehabilitation following stroke: a systematic review of current guidelines and practical clinical recommendations
125 citations · 2021
📈 Most Prolific Year: 2021 (10 Papers)
🤝 Key Collaborators: 161
🏛 Institutions: Ospedale Valduce, University of Padua, Regional Health, Universidad Luterana Salvadoreña, University of L'Aquila

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago