About

Monica Sicari is a rehabilitation researcher whose work sits at the intersection of neurotechnology and clinical recovery, with a particular focus on robotic-assisted rehabilitation for individuals with neurological conditions. Her research spans stroke recovery, cervical spinal cord injury, multiple sclerosis, and pediatric cerebral palsy, making her one of the more broadly focused voices in the field of neurorehabilitation robotics. Sicari's most impactful contribution — a 2021 systematic review of clinical guidelines for upper limb robotic rehabilitation after stroke, cited 56 times — helped bridge the persistent gap between research evidence and real-world clinical practice. Complementing this, her comprehensive reviews on robotic arm therapy for spinal cord injury (33 citations) and multiple sclerosis (15 citations) have collectively strengthened the evidence base across diverse patient populations. Her 2022 overview of systematic reviews on robot-assisted arm therapy further consolidated the field's growing literature. Notably, her earlier work on augmented feedback in pediatric robotic gait training (2009–2010) demonstrated an interest in optimizing how patients engage with robotic systems, not just whether those systems work. Her involvement in the CICERONE Italian Consensus Conference underscores her role in shaping national rehabilitation standards, positioning her as both a rigorous synthesizer of evidence and an influential contributor to clinical policy development.

Research Focus

Key Achievements

8
H-Index
9
Papers
179
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Systematic review of guidelines to identify recommendations for upper limb robotic rehabilitation after stroke
56 citations · 2021
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 62
🏛 Institutions: Azienda Ospedaliera Citta' della Salute e della Scienza di Torino, University of Catania, Fondazione Ricerca Molinette, Spaulding Rehabilitation Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago