Maria I Alekhina

University of Toronto

Papers

1

Total Citations

12

H-Index

1

About

Maria I. Alekhina is a leading researcher in motor control and rehabilitation robotics, whose work illuminates how robotic guidance reshapes sensorimotor learning. Her most-cited study, “Effects of robotic guidance on sensorimotor control: Planning vs. online control?” (2014, 12 citations), provides a foundational contribution by dissecting whether robot-assisted practice primarily alters movement planning or online corrective control. This research, which bridges healthy and neurologically impaired populations, has clarified the distinct neural mechanisms engaged during skill acquisition, offering critical insights for designing more effective robotic therapies. Alekhina’s findings have direct implications for neurorehabilitation, helping clinicians tailor interventions that target specific sensorimotor deficits. Her work is distinguished by its rigorous experimental design and its ability to translate complex motor control theory into practical, evidence-based applications. As a researcher, Alekhina continues to advance the understanding of how technology can augment human movement, making her a key figure in the intersection of robotics, neuroscience, and rehabilitation science.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Effects of robotic guidance on sensorimotor control: Planning vs. online control?
12 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Toronto

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago