Mina Nouredanesh

University of Waterloo

Papers

1

Total Citations

4

H-Index

1

About

Mina Nouredanesh is a researcher whose work sits at the intersection of motor control, robotics, and human-computer interaction. Her primary research areas include bimanual coordination, sensorimotor integration, and the role of visual feedback in motor learning and performance. In her most cited work, she investigates how blocking visual information from one hand affects the motor behaviour of both dominant and non-dominant hands during a bimanual drawing task using a robotic platform. This study sheds light on the complex interplay between visual input and interlimb coordination, offering insights that are valuable for rehabilitation robotics and the design of assistive technologies. Though her citation count is still growing, her work is notable for its methodological rigor and its contribution to understanding how the brain manages simultaneous, coordinated movements. Nouredanesh’s research has implications for developing more effective robotic training systems for individuals with motor impairments, making her a promising voice in the field of human motor neuroscience and rehabilitation engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Effect of Visual Information on Dominant and Non-dominant Hands During Bimanual Drawing with a Robotic Platform
4 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Waterloo

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago