Papers

12

Total Citations

201

H-Index

7

About

James H. Graham is a pioneering researcher whose work spans two complementary domains: robotic safety systems and assistive technology for individuals with Autism Spectrum Disorder (ASD). Over a career stretching more than three decades, Graham has made foundational contributions to industrial robot safety, developing collision avoidance systems and fuzzy logic control algorithms that addressed critical risks as robotics expanded into manufacturing environments. His 1986 paper on safety and collision avoidance systems (39 citations) emerged at a pivotal moment when robot-related workplace fatalities were being reported globally, and his subsequent work on sensory integration, neural network-based safety architectures, and human factors solidified his reputation as a leading authority on reliable robotic operation. In more recent years, Graham's research has turned toward profoundly human applications, investigating how robotic and virtual agents can support learning in individuals with ASD. His 2018 studies on robot peer tutoring systems—collectively accumulating 90 citations—demonstrated measurable gains in sight word acquisition and observational learning among young adults with autism, blending behavioral science with emerging technology. His work on emotion recognition wearables further reflects his commitment to human-centered computing. With research spanning safety engineering, computer architecture, and special education technology, Graham exemplifies the breadth and social relevance that defines impactful interdisciplinary scholarship.

Research Focus

Key Achievements

7
H-Index
12
Papers
201
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Small-Group Technology-Assisted Instruction: Virtual Teacher and Robot Peer for Individuals with Autism Spectrum Disorder
70 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Louisville, Rensselaer Polytechnic Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago