Papers

24

Total Citations

2,131

H-Index

21

About

Troy M. Herter is a prominent neuroscientist and rehabilitation researcher whose work sits at the intersection of sensorimotor neuroscience, stroke recovery, and robotic assessment technologies. His research has fundamentally advanced how clinicians and scientists measure and understand sensory and motor deficits following stroke, moving the field away from subjective, observer-based clinical scales toward precise, quantitative robotic methodologies. Herter's most influential contributions include developing robotic paradigms to objectively assess proprioception, kinesthesia, and visually guided reaching in stroke patients — work that has collectively garnered over 1,600 citations. His 2009 study on limb position sense following stroke (380 citations) established a new benchmark for sensitivity in sensory assessment, while his 2010 examination of visually guided reaching (284 citations) demonstrated the broad utility of robotics for evaluating upper-limb sensorimotor function across large patient cohorts. Notably, his research revealed that position sense and visuomotor deficits recover independently after stroke, challenging prevailing assumptions about their relationship. Beyond stroke populations, Herter has illuminated how proprioception changes across healthy aging, providing essential normative context for clinical assessment. His broader body of work has meaningfully shaped patient-centered rehabilitation approaches and continues to inform how recovery trajectories are characterized and treated in clinical neuroscience.

Research Focus

Key Achievements

21
H-Index
24
Papers
2,131
Total Citations
89
Avg Citations/Paper
🏆 Most Cited Paper
Quantitative Assessment of Limb Position Sense Following Stroke
380 citations · 2009
📈 Most Prolific Year: 2014 (6 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: Queen's University, University of South Carolina, Engineering Service Center und Handel (Germany)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago