F.M. Rivas-Montero

Universidad Rey Juan Carlos

Papers

1

Total Citations

3

H-Index

1

About

F.M. Rivas-Montero is a researcher at the forefront of applying deep learning to neurorehabilitation and social integration. Their most notable contribution is the development of COMBAHO, a pioneering deep learning system designed to facilitate the reintegration of brain injury patients into society. This work, published in 2019, has garnered 3 citations, reflecting its foundational role in a critical emerging field. Rivas-Montero’s research sits at the intersection of artificial intelligence and clinical neuroscience, aiming to create practical, scalable tools that bridge the gap between medical recovery and social participation. By focusing on patient-centered outcomes, their work addresses a pressing need for technology that supports long-term quality of life beyond initial treatment. While the citation count is modest, the novelty and potential impact of COMBAHO signal a promising trajectory, positioning Rivas-Montero as a key contributor to the development of AI-driven solutions for neurological rehabilitation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
COMBAHO: A deep learning system for integrating brain injury patients in society
3 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Universidad Rey Juan Carlos

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago