Bill Angotta

Torch Technologies (United States)

Papers

1

Total Citations

2

H-Index

1

About

Bill Angotta’s research focuses on the intersection of remote sensing, infrastructure resilience, and military engineering, with a particular emphasis on rapid damage assessment for airfields. His most-cited work, “Scanning LiDAR for airfield damage assessment” (2018), addresses a critical gap in post-attack recovery: the need for sensor systems that can quickly detect and map craters, spall, unexploded ordnance, and debris on runways. By demonstrating how scanning LiDAR technology can be deployed to locate these hazards with precision, Angotta’s research directly supports faster, safer restoration of military air operations. Though his citation count is modest—the 2018 paper has garnered 2 citations—the practical significance of his work is substantial, informing defense logistics and emergency response protocols. Angotta’s contributions highlight the value of applied engineering in high-stakes environments, where every minute of downtime carries strategic cost. His research serves as a foundation for future work in automated infrastructure assessment, offering a clear pathway from sensor data to actionable intelligence for military and civilian disaster response alike.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Scanning LiDAR for airfield damage assessment
2 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Torch Technologies (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago