Papers

53

Total Citations

1,426

H-Index

24

About

Valentina Squeri is a prominent researcher at the intersection of robotics, rehabilitation engineering, and neuroscience, whose work has fundamentally advanced how technology can restore movement and sensation following neurological injury. With a body of work accumulating nearly 750 citations across her most influential papers, Squeri has made landmark contributions to robot-assisted rehabilitation for stroke survivors, individuals with Parkinson's disease, multiple sclerosis, and pediatric populations. Her most celebrated contributions include pioneering self-adaptive robotic controllers that intelligently modulate assistance during therapy — a paradigm shift from fixed-force protocols — and developing targeted wrist rehabilitation systems for chronic stroke patients, areas that had been largely overlooked in favor of proximal limb training. Squeri's work has also illuminated how Parkinson's disease disrupts somatosensory integration and accelerates haptic decline, providing critical mechanistic insight into sensory-motor dysfunction. Particularly noteworthy is her investigation into proprioceptive training, demonstrating that the kinesthetic sense is trainable and recoverable after stroke. She further extended her impact through the development of the hunova® rehabilitation robot for core and balance training, alongside a validated fall-risk predictive model for older adults. Her research consistently bridges rigorous neuroscience with practical, patient-centered clinical innovation.

Research Focus

Key Achievements

24
H-Index
53
Papers
1,426
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Wrist rehabilitation in chronic stroke patients by means of adaptive, progressive robot-aided therapy
114 citations · 2013
📈 Most Prolific Year: 2014 (6 Papers)
🤝 Key Collaborators: 109
🏛 Institutions: Italian Institute of Technology, Technology Transfer and Innovation (Italy), University of Genoa

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago