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Researcher · Qinetiq (United Kingdom) · United Kingdom

David J. Salmond

David J. Salmond publishes mostly in Artificial Intelligence, Aerospace Engineering and Control and Systems Engineering, on topics such as Target Tracking and Data Fusion in Sensor Networks, Infrared Target Detection Methodologies and Guidance and Control Systems.

OpenAlex
World rank
#492,509
of 7,710,434 ranked researchers
Rank in United Kingdom
#42,920
of 367,258
Works
43
Citations
9.6k
Citations per work
222.4
h-index
18
i10-index 23Top 16% in Artificial Intelligence
David J. Salmond

What does David J. Salmond research?

David J. Salmond's work is mostly in Computer Science (46%), Engineering (33%), Mathematics (5%).

Physical Sciences: 36 works · 83.4% of their workComputer Science: 20 works · 45.8% of their workArtificial Intelligence: 17 works · 39.4% of their workComputer Networks and Communications: 3 works · 6.4% of their workEngineering: 14 works · 33.0% of their workAerospace Engineering: 10 works · 22.9% of their workControl and Systems Engineering: 3 works · 7.3% of their workElectrical and Electronic Engineering: 1 works · 2.8% of their workMathematics: 2 works · 4.6% of their workStatistics and Probability: 2 works · 4.6% of their workEverything else: 7 works · 16.6% of their workTHEIR WORKDavid J. Salmond43works
Physical Sciences83%

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 Science2045.8%
    2. Engineering1433.0%
    3. Mathematics24.6%
  2. Everything else716.6%
  1. 1Artificial Intelligence39% of their works
  2. 2Aerospace Engineering23% of their works
  3. 3Control and Systems Engineering7% of their works
  4. 4Computer Networks and Communications6% of their works
  5. 5Statistics and Probability5% of their works
  6. 6Electrical and Electronic Engineering3% of their works

Research topics

Which keywords describe David J. Salmond's research?

The keywords of their largest research topics: Bayesian Inference, Nonlinear Estimation, Particle Filters, Detection, Infrared, Machine Learning, Small Target and Control.

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 19 words, with their numbers
  1. Bayesian Inference402 topics
  2. Nonlinear Estimation371 topic
  3. Particle Filters371 topic
  4. Detection132 topics
  5. Infrared101 topic
  6. Machine Learning102 topics
  7. Small Target101 topic
  8. Control81 topic
  9. Missile Guidance81 topic
  10. Distributed Detection71 topic
  11. Fault Detection71 topic
  12. Process Monitoring71 topic
  13. Wireless Sensor Networks71 topic
  14. Multicollinearity51 topic
  15. Regression Analysis51 topic
  16. Gaussian Processes31 topic
  17. Measurement31 topic
  18. Optoelectronic31 topic
  19. Variational Inference31 topic

Where does David J. Salmond work?

David J. Salmond's main affiliation in the publication record is Qinetiq (United Kingdom), United Kingdom.

How many publications and citations does David J. Salmond have?

OpenAlex counts 43 works and 9,564 citations for David J. Salmond, an h-index of 18, ranking #492,509 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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