Karen Nolan

Papers

1

Total Citations

2

H-Index

1

About

Karen Nolan’s research focuses on neurorehabilitation and the use of robotic exoskeletons to restore mobility after neurological injury. Her most-cited work, “Changes in Temporal-Spatial Parameters after Six Sessions of Robotic Exoskeleton Gait Training in Acute Stroke” (2017), investigates how short-term, intensive robotic gait training can improve walking mechanics in acute stroke survivors. Although this study has garnered 2 citations, it represents a foundational step in understanding the early, measurable benefits of exoskeleton-assisted therapy—a critical area for accelerating recovery. Nolan’s broader contributions lie in bridging engineering and clinical practice, exploring how wearable robotics can enhance motor learning and functional outcomes in stroke and spinal cord injury populations. Her work is notable for its focus on acute-phase intervention, where neuroplasticity is highest, and for providing quantitative evidence that even brief training sessions can yield meaningful changes in gait symmetry and speed. As a researcher, Nolan is dedicated to translating robotic technologies into accessible rehabilitation tools, making her a key voice in the growing field of neurorehabilitation robotics. Her findings continue to inform clinical protocols and inspire further studies on dose-response relationships in exoskeleton training.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Changes in Temporal-Spatial Parameters after Six Sessions of Robotic Exoskeleton Gait Training in Acute Stroke
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago