Christopher A. Johnson

University of California, Irvine

Papers

3

Total Citations

13

H-Index

2

About

Christopher A. Johnson is a rising leader in rehabilitation robotics, whose work centers on understanding and restoring sensorimotor function after neurological injury. His research bridges the gap between robotic assessment and clinical rehabilitation, with a primary focus on proprioception—the body’s ability to sense joint position and movement—and its role in motor recovery. Johnson’s most cited work, “Robotically quantifying finger and ankle proprioception” (2023, 6 citations), systematically examines how programmable factors like testing range, speed, and prior learning influence proprioceptive assessments, offering critical insights for designing more accurate diagnostic tools. In “Design of a Cable-Suspended Robot for Early Stage Gait Rehabilitation” (2024, 5 citations), he introduces AirStep, a novel cable-driven device that enables supine walking practice by offloading leg weight, a promising approach for accelerating recovery after stroke or spinal cord injury. His 2024 study, “The weak relationship between ankle proprioception and gait speed after stroke” (2 citations), challenges assumptions by revealing that proprioceptive deficits are independent of motor impairments and only weakly predict gait function, reshaping how clinicians prioritize rehabilitation targets. Johnson’s work is notable for its integration of robotic precision with physiological insight, directly informing the next generation of neurorehabilitation technologies.

Research Focus

Key Achievements

2
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Robotically quantifying finger and ankle proprioception: Role of range, speed, anticipatory errors, and learning
6 citations · 2023
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of California, Irvine

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago