Geoffroy Moucheboeuf

Papers

Total Citations

173

H-Index

About

Geoffroy Moucheboeuf is a leading researcher in neurorehabilitation and robotic-assisted therapy, with a primary focus on improving motor recovery after neurological injury. His most influential work, a 2020 meta-analysis on the effects of robotic gait training after stroke, has garnered 173 citations, establishing him as a key voice in evidence-based rehabilitation. This seminal study synthesized data from multiple clinical trials to demonstrate that robotic gait training significantly enhances walking ability and functional outcomes in stroke survivors, compared to conventional therapy alone. Beyond this landmark paper, Moucheboeuf has contributed to understanding the mechanisms of neuroplasticity and the optimization of human-robot interaction in therapeutic settings. His research bridges engineering and clinical practice, offering practical guidelines for integrating robotic devices into rehabilitation protocols. Moucheboeuf’s work has been instrumental in shaping current standards for post-stroke care, and his findings continue to influence the design of next-generation rehabilitation technologies. For students and researchers, his career exemplifies how rigorous meta-analytical methods can translate complex biomechanical data into actionable clinical insights, making him a pivotal figure in the advancement of neurorehabilitation science.