Francesca Gimigliano

University of Campania "Luigi Vanvitelli"

Papers

22

Total Citations

605

H-Index

13

About

Francesca Gimigliano is a prominent rehabilitation medicine researcher whose work sits at the intersection of neurorehabilitation, robotics, and evidence-based clinical practice. Her research focuses primarily on robotic and electromechanical-assisted rehabilitation across a spectrum of neurological conditions, including stroke, multiple sclerosis, Parkinson's disease, and spinal cord injury. Gimigliano has made substantial contributions through rigorous systematic reviews and meta-analyses that bridge the gap between emerging technological evidence and real-world clinical application, helping to shape international guidelines for robotic rehabilitation of both upper and lower limbs. Her most cited work — a 2021 systematic review on robotic-assisted gait rehabilitation post-stroke, garnering 125 citations — exemplifies her commitment to translating complex research into practical clinical recommendations. Alongside collaborators within the CICERONE Italian Consensus framework, she has helped standardize the classification and evaluation of electromechanical devices in neurorehabilitation, addressing a critical methodological gap in the field. Collectively, her ten most-cited publications have accumulated over 477 citations, reflecting the broad influence of her scholarship. For students and clinicians navigating the rapidly evolving landscape of rehabilitation robotics, Gimigliano's body of work offers an indispensable, evidence-grounded foundation.

Research Focus

Key Achievements

13
H-Index
22
Papers
605
Total Citations
28
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: 178
🏛 Institutions: University of Campania "Luigi Vanvitelli"

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago