Papers

5

Total Citations

123

H-Index

4

About

Monica Bennett is a leading researcher in neurorehabilitation, with a primary focus on integrating overground robotic exoskeleton gait training into inpatient rehabilitation for individuals with neurological injuries. Her major contributions center on establishing the feasibility, clinical protocols, and optimal dosing of robotic gait training (RGT) for people with spinal cord injury (SCI) and stroke. In her landmark 2019 study (77 citations), she demonstrated the practical viability of using the Ekso device in a busy inpatient setting, laying the groundwork for subsequent randomized controlled trials. Bennett’s work has been instrumental in moving robotic exoskeletons from experimental tools to standard-of-care interventions, with her 2020 retrospective analysis (25 citations) identifying key patient characteristics that predict successful outcomes. She has also authored influential protocols, including the FIRST trial (2022, 8 citations) and a 2024 dosing study (4 citations), which aim to answer critical questions about treatment intensity and neurophysiological mechanisms. Through rigorous clinical research, Bennett is shaping evidence-based guidelines that help clinicians harness robotic technology to restore walking function, making her a pivotal figure in the future of rehabilitation science.

Research Focus

Key Achievements

4
H-Index
5
Papers
123
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Feasibility of integrating robotic exoskeleton gait training in inpatient rehabilitation
77 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Baylor Medical Center at Garland, Baylor Scott & White Health, Research Institute of Dallas

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago