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Researcher · RTX (United States) · United States

David M. Doria

David M. Doria publishes mostly in Artificial Intelligence, Aerospace Engineering and Computer Vision and Pattern Recognition, on topics such as Neural Networks and Applications, Target Tracking and Data Fusion in Sensor Networks and Infrared Target Detection Methodologies.

ORCID 0000-0002-6176-3576 OpenAlex
World rank
#3,084,748
of 7,710,434 ranked researchers
Rank in United States
#881,643
of 1,627,098
Works
15
Citations
55
Citations per work
3.7
h-index
3
i10-index 1Top 95% in Artificial Intelligence
David M. Doria

What does David M. Doria research?

David M. Doria's work is mostly in Computer Science (52%), Engineering (40%).

Physical Sciences: 14 works · 92.9% of their workComputer Science: 8 works · 52.4% of their workArtificial Intelligence: 5 works · 31.0% of their workComputer Vision and Pattern Recognition: 3 works · 19.0% of their workSignal Processing: 0 works · 2.4% of their workEngineering: 6 works · 40.5% of their workAerospace Engineering: 4 works · 26.2% of their workMedia Technology: 1 works · 9.5% of their workElectrical and Electronic Engineering: 1 works · 4.8% of their workEverything else: 1 works · 7.1% of their workTHEIR WORKDavid M. Doria15works
Physical Sciences93%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science852.4%
    2. Engineering640.5%
  2. Everything else17.1%
  1. 1Artificial Intelligence31% of their works
  2. 2Aerospace Engineering26% of their works
  3. 3Computer Vision and Pattern Recognition19% of their works
  4. 4Media Technology10% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Signal Processing2% of their works

Research topics

Which keywords describe David M. Doria's research?

The keywords of their largest research topics: Deep Learning, Infrared, Neural Networks, Nonlinear Estimation, Particle Filters, Self-Organizing Maps, Small Target and 3D Mapping.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 17 words, with their numbers
  1. Deep Learning103 topics
  2. Infrared41 topic
  3. Neural Networks41 topic
  4. Nonlinear Estimation41 topic
  5. Particle Filters41 topic
  6. Self-Organizing Maps41 topic
  7. Small Target41 topic
  8. 3D Mapping31 topic
  9. Content-Based Image Retrieval31 topic
  10. Hyperspectral31 topic
  11. Image Analysis31 topic
  12. Micro-Doppler Effect31 topic
  13. SLAM31 topic
  14. Shape Matching31 topic
  15. Synthetic Aperture Radar31 topic
  16. Hough Transform21 topic
  17. Line Detection21 topic

Where does David M. Doria work?

David M. Doria's main affiliation in the publication record is RTX (United States), United States.

How many publications and citations does David M. Doria have?

OpenAlex counts 15 works and 55 citations for David M. Doria, an h-index of 3, ranking #3,084,748 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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