James E. Thomas

Papers

1

Total Citations

6

H-Index

1

About

James E. Thomas is a researcher at the intersection of information science, robotics, and disaster response. His work critically examines the role of autonomous systems in high-stakes environments, with a particular focus on human-robot interaction during nuclear emergencies. His most notable contribution, "Applied Information Science Research in a Virtual World Simulation to Support Robot Mediated Interaction Following the Fukushima Nuclear Disaster" (2013), has garnered 6 citations and stands as a seminal analysis of Japan’s technological unpreparedness in the wake of the Fukushima Daiichi catastrophe. By leveraging virtual world simulations, Thomas explores how information science can bridge gaps in robot-mediated communication and decision-making when human access is impossible. His research underscores the urgent need for integrated robotic systems in disaster preparedness, drawing directly from the findings of the Fukushima Nuclear Accident Independent Investigation Commission. Though his citation count is modest, Thomas’s work is highly targeted and influential within the niche of post-disaster robotics and information systems. For students and researchers interested in the practical deployment of AI and robotics in crisis scenarios, Thomas offers a sobering, evidence-based perspective on the failures and future possibilities of technology in saving lives.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Applied Information Science Research in a Virtual World Simulation to Support Robot Mediated Interaction Following the Fukushima Nuclear Disaster.
6 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago