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Researcher · The University of Sydney · Australia

Simon O’Callaghan

Simon O’Callaghan publishes mostly in Artificial Intelligence, Oceanography and Computer Vision and Pattern Recognition, on topics such as Gaussian Processes and Bayesian Inference, Target Tracking and Data Fusion in Sensor Networks and Anomaly Detection Techniques and Applications.

ORCID 0000-0002-4836-7034 OpenAlex
World rank
#1,311,150
of 7,710,434 ranked researchers
Rank in Australia
#41,212
of 140,210
Works
24
Citations
895
Citations per work
37.3
h-index
14
i10-index 15Top 25% in Artificial Intelligence
Simon O’Callaghan

What does Simon O’Callaghan research?

Simon O’Callaghan's work is mostly in Computer Science (54%), Earth and Planetary Sciences (19%).

Physical Sciences: 17 works · 72.3% of their workComputer Science: 13 works · 53.6% of their workArtificial Intelligence: 12 works · 49.3% of their workComputer Vision and Pattern Recognition: 1 works · 4.3% of their workEarth and Planetary Sciences: 4 works · 18.7% of their workOceanography: 1 works · 5.8% of their workAtmospheric Science: 1 works · 4.3% of their workGeology: 1 works · 4.3% of their workGeophysics: 1 works · 4.3% of their workEverything else: 7 works · 27.7% of their workTHEIR WORKSimon O’Callaghan24works
Physical Sciences72%

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 Science1353.6%
    2. Earth and Planetary Sciences418.7%
  2. Everything else727.7%
  1. 1Artificial Intelligence49% of their works
  2. 2Oceanography6% of their works
  3. 3Computer Vision and Pattern Recognition4% of their works
  4. 4Atmospheric Science4% of their works
  5. 5Geophysics4% of their works
  6. 6Geology4% of their works

Research topics

Which keywords describe Simon O’Callaghan's research?

The keywords of their largest research topics: Bayesian Inference, Deep Learning, Machine Learning, Gaussian Processes, Variational Inference, Neural Networks, Nonlinear Estimation and Particle Filters.

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 20 words, with their numbers
  1. Bayesian Inference172 topics
  2. Deep Learning173 topics
  3. Machine Learning142 topics
  4. Gaussian Processes121 topic
  5. Variational Inference121 topic
  6. Neural Networks52 topics
  7. Nonlinear Estimation51 topic
  8. Particle Filters51 topic
  9. 3D Mapping31 topic
  10. Anomaly Detection31 topic
  11. Climate Change31 topic
  12. Paleoclimatology31 topic
  13. SLAM31 topic
  14. Unsupervised31 topic
  15. Backpropagation Learning21 topic
  16. Interpretable Models21 topic
  17. Machine Learning Interpretability21 topic
  18. Mineral Prospectivity21 topic
  19. Remote Sensing21 topic
  20. Self-Organizing Maps21 topic

Where does Simon O’Callaghan work?

Simon O’Callaghan's main affiliation in the publication record is The University of Sydney, Australia.

How many publications and citations does Simon O’Callaghan have?

OpenAlex counts 24 works and 895 citations for Simon O’Callaghan, an h-index of 14, ranking #1,311,150 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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