Papers

3

Total Citations

116

H-Index

3

About

Angelo Amico is a leading researcher in neurorehabilitation, with a focused expertise on the application of robot-assisted gait training (RAGT) for improving balance and mobility in individuals with neurological disorders. His major contributions center on synthesizing evidence to determine the efficacy of robotic rehabilitation for conditions such as multiple sclerosis, stroke, and Parkinson’s disease. In his highly cited 2021 systematic review on multiple sclerosis, Amico critically evaluated the impact of RAGT on balance and gait outcomes, while his 2023 meta-analysis on post-stroke patients provided a rigorous assessment of RAGT’s superiority over traditional training for balance recovery. His 2021 work on Parkinson’s disease further explored how RAGT can mitigate postural instability, a key symptom affecting quality of life. With each of these papers garnering 28–44 citations, Amico’s research has become foundational for clinicians and researchers seeking evidence-based rehabilitation strategies. His work is notable for its systematic rigor and direct clinical relevance, positioning him as a key voice in the advancement of robotic neurorehabilitation.

Research Focus

Key Achievements

3
H-Index
3
Papers
116
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
What is the impact of robotic rehabilitation on balance and gait outcomes in people with multiple sclerosis? A systematic review of randomized control trials
44 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 56
🏛 Institutions: Azienda Universitaria Ospedaliera Consorziale - Policlinico Bari, University of Bari Aldo Moro

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago