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Researcher · Lockheed Martin Orincon (United States) · United States

Dale M. Klamer

Dale M. Klamer publishes mostly in Artificial Intelligence, Computer Networks and Communications and Aerospace Engineering, on topics such as Target Tracking and Data Fusion in Sensor Networks, Distributed Sensor Networks and Detection Algorithms and Anomaly Detection Techniques and Applications.

OpenAlex
World rank
#4,802,613
of 7,710,434 ranked researchers
Rank in United States
#1,258,612
of 1,627,098
Works
17
Citations
157
Citations per work
9.2
h-index
7
i10-index 4Top 65% in Artificial Intelligence
Dale M. Klamer

What does Dale M. Klamer research?

Dale M. Klamer's work is mostly in Computer Science (45%), Engineering (25%).

Physical Sciences: 12 works · 70.0% of their workComputer Science: 8 works · 45.0% of their workArtificial Intelligence: 5 works · 27.5% of their workComputer Networks and Communications: 2 works · 12.5% of their workComputational Theory and Mathematics: 1 works · 5.0% of their workEngineering: 4 works · 25.0% of their workAerospace Engineering: 2 works · 10.0% of their workControl and Systems Engineering: 1 works · 7.5% of their workElectrical and Electronic Engineering: 1 works · 7.5% of their workEverything else: 5 works · 30.0% of their workTHEIR WORKDale M. Klamer17works
Physical Sciences70%

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 Science845.0%
    2. Engineering425.0%
  2. Everything else530.0%
  1. 1Artificial Intelligence28% of their works
  2. 2Computer Networks and Communications12% of their works
  3. 3Aerospace Engineering10% of their works
  4. 4Electrical and Electronic Engineering8% of their works
  5. 5Control and Systems Engineering8% of their works
  6. 6Computational Theory and Mathematics5% of their works

Research topics

Which keywords describe Dale M. Klamer's research?

The keywords of their largest research topics: Bayesian Inference, Nonlinear Estimation, Particle Filters, High-Dimensional Data, Deep Learning, Distributed Detection, Neural Networks and Wireless Sensor Networks.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Bayesian Inference72 topics
  2. Nonlinear Estimation61 topic
  3. Particle Filters61 topic
  4. High-Dimensional Data42 topics
  5. Deep Learning32 topics
  6. Distributed Detection31 topic
  7. Neural Networks32 topics
  8. Wireless Sensor Networks31 topic
  9. Anomaly Detection21 topic
  10. Evolutionary Algorithms21 topic
  11. Fault Detection21 topic
  12. Multiobjective Optimization21 topic
  13. Process Monitoring21 topic
  14. Regularization21 topic
  15. Unsupervised21 topic
  16. Variable Selection21 topic
  17. Backpropagation Learning11 topic
  18. Clustering11 topic
  19. Mixture Models11 topic
  20. Self-Organizing Maps11 topic

Where does Dale M. Klamer work?

Dale M. Klamer's main affiliation in the publication record is Lockheed Martin Orincon (United States), United States.

How many publications and citations does Dale M. Klamer have?

OpenAlex counts 17 works and 157 citations for Dale M. Klamer, an h-index of 7, ranking #4,802,613 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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