Papers

4

Total Citations

107

H-Index

3

About

Fabrizio Stocchi is a researcher whose work sits at the intersection of neurodegenerative disease and rehabilitation technology, with a particular focus on Parkinson's disease (PD) and related conditions. His research has made meaningful contributions to understanding how robotic-assisted gait training can be applied to patients with progressive neurological disorders, a field where evidence-based guidance has historically been limited. Stocchi's most influential work, a 2013 pilot randomized controlled trial examining robot-assisted walking training in Parkinson's disease (75 citations), helped establish the scientific groundwork for evaluating the feasibility and therapeutic benefit of robotic rehabilitation in PD populations. He extended this inquiry to progressive supranuclear palsy (PSP), a rarer and more devastating condition, demonstrating a commitment to addressing underserved patient groups. His 2016 study applying gait profile scoring to quantify rehabilitation outcomes reflects a broader methodological interest in using three-dimensional gait analysis to rigorously measure patient progress. Collectively, Stocchi's work has helped move robotic rehabilitation technologies from theoretical promise toward clinical practice, offering neurologists and physiotherapists a stronger evidence base for integrating these tools into patient care. His research continues to be a reference point for clinicians and researchers exploring innovative motor rehabilitation strategies for neurodegenerative diseases.

Research Focus

Key Achievements

3
H-Index
4
Papers
107
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted walking training for individuals with Parkinson’s disease: a pilot randomized controlled trial
75 citations · 2013
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Pisa, Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele, IRCCS Ospedale San Raffaele

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago