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Researcher · RTX (United States) · United States

Fred E. Daum

Fred E. Daum publishes mostly in Artificial Intelligence, Aerospace Engineering and Civil and Structural Engineering, on topics such as Target Tracking and Data Fusion in Sensor Networks, Gaussian Processes and Bayesian Inference and Distributed Sensor Networks and Detection Algorithms.

ORCID 0000-0002-0232-1831 OpenAlex
World rank
#1,227,719
of 7,710,434 ranked researchers
Rank in United States
#392,895
of 1,627,098
Works
102
Citations
3.6k
Citations per work
35.2
h-index
24
i10-index 52Top 8.5% in Artificial Intelligence
Fred E. Daum

What does Fred E. Daum research?

Fred E. Daum's work is mostly in Computer Science (32%), Engineering (19%), Physics and Astronomy (6%).

Physical Sciences: 59 works · 57.5% of their workComputer Science: 33 works · 32.3% of their workArtificial Intelligence: 28 works · 27.5% of their workComputer Networks and Communications: 5 works · 4.8% of their workEngineering: 20 works · 19.3% of their workAerospace Engineering: 8 works · 8.2% of their workCivil and Structural Engineering: 6 works · 5.9% of their workControl and Systems Engineering: 5 works · 5.2% of their workPhysics and Astronomy: 6 works · 5.9% of their workStatistical and Nonlinear Physics: 6 works · 5.9% of their workEverything else: 43 works · 42.5% of their workTHEIR WORKFred E. Daum102works
Physical Sciences58%

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 Science3332.3%
    2. Engineering2019.3%
    3. Physics and Astronomy65.9%
  2. Everything else4342.5%
  1. 1Artificial Intelligence28% of their works
  2. 2Aerospace Engineering8% of their works
  3. 3Civil and Structural Engineering6% of their works
  4. 4Statistical and Nonlinear Physics6% of their works
  5. 5Control and Systems Engineering5% of their works
  6. 6Computer Networks and Communications5% of their works

Research topics

Which keywords describe Fred E. Daum's research?

The keywords of their largest research topics: Bayesian Inference, State Estimation, Nonlinear Estimation, Particle Filters, Distributed Detection, Gaussian Processes, Machine Learning 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 18 words, with their numbers
  1. Bayesian Inference572 topics
  2. State Estimation552 topics
  3. Nonlinear Estimation461 topic
  4. Particle Filters461 topic
  5. Distributed Detection111 topic
  6. Gaussian Processes111 topic
  7. Machine Learning111 topic
  8. Wireless Sensor Networks111 topic
  9. Leak Detection101 topic
  10. Water Distribution Networks101 topic
  11. Long-Range Interactions91 topic
  12. Nonextensive Statistical Mechanics91 topic
  13. Parameter Estimation91 topic
  14. Sensitivity Analysis91 topic
  15. System Identification91 topic
  16. Uncertainty Quantification91 topic
  17. Groundwater Flow81 topic
  18. Transport Modeling81 topic

Where does Fred E. Daum work?

Fred E. Daum's main affiliation in the publication record is RTX (United States), United States.

How many publications and citations does Fred E. Daum have?

OpenAlex counts 102 works and 3,595 citations for Fred E. Daum, an h-index of 24, ranking #1,227,719 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.

Discussion

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