James Devaney

University of Missouri

Papers

1

Total Citations

4

H-Index

1

About

James Devaney has made focused contributions to the field of landmine detection and humanitarian demining, specializing in sensor fusion and signal processing. His key research areas include ground-penetrating radar (GPR) and metal detector technologies, with an emphasis on discriminating between landmines and harmless clutter objects. His most cited work, "Land Mine and Clutter Object Discrimination Using Wavelet and Time Domain Spatially Distributed Features from Metal Detectors and Their Fusion with GPR Features for Hand-Held Units" (2007), introduced a novel approach to combining spatially distributed features from metal detectors with GPR data. This fusion technique improved the accuracy of handheld detection systems, a critical advancement for reducing false alarms in real-world demining operations. While his citation count is modest, Devaney’s research addresses a high-stakes, practical challenge—saving lives by making mine detection more reliable. His work exemplifies the importance of interdisciplinary engineering in humanitarian applications, and his methods have informed subsequent studies in sensor fusion for explosive hazard detection. For students and researchers, Devaney’s career underscores how targeted, application-driven research can have meaningful impact even within a specialized niche.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Land Mine and Clutter Object Discrimination Using Wavelet and Time Domain Spatially Distributed Features from Metal Detectors and Their Fusion with GPR Features for Hand-Held Units
4 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Missouri

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago