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Researcher · Mitsubishi Electric (United States) · United States

William T. Freeman

William T. Freeman publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Astronomy and Astrophysics, on topics such as Astrophysics and Cosmic Phenomena, Bayesian Modeling and Causal Inference and Explainable Artificial Intelligence (XAI).

ORCID 0000-0002-3316-4007 OpenAlex
World rank
#684,768
of 7,710,434 ranked researchers
Rank in United States
#231,971
of 1,627,098
Works
46
Citations
4.1k
Citations per work
90.1
h-index
16
i10-index 20Top 20% in Artificial Intelligence
William T. Freeman

What does William T. Freeman research?

William T. Freeman's work is mostly in Computer Science (52%), Physics and Astronomy (14%).

Physical Sciences: 30 works · 66.0% of their workComputer Science: 24 works · 52.3% of their workArtificial Intelligence: 12 works · 26.6% of their workComputer Vision and Pattern Recognition: 7 works · 16.1% of their workComputer Networks and Communications: 2 works · 4.8% of their workSignal Processing: 2 works · 4.8% of their workPhysics and Astronomy: 6 works · 13.7% of their workAstronomy and Astrophysics: 4 works · 9.7% of their workNuclear and High Energy Physics: 2 works · 4.0% of their workEverything else: 16 works · 34.0% of their workTHEIR WORKWilliam T.Freeman46works
Physical Sciences66%

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 Science2452.3%
    2. Physics and Astronomy613.7%
  2. Everything else1634.0%
  1. 1Artificial Intelligence27% of their works
  2. 2Computer Vision and Pattern Recognition16% of their works
  3. 3Astronomy and Astrophysics10% of their works
  4. 4Signal Processing5% of their works
  5. 5Computer Networks and Communications5% of their works
  6. 6Nuclear and High Energy Physics4% of their works

Research topics

Which keywords describe William T. Freeman's research?

The keywords of their largest research topics: Deep Learning, High-Energy Astrophysics, Particle Acceleration, Action Recognition, Bayesian Networks, Black Holes, Causal Inference and Interpretable Models.

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 17 words, with their numbers
  1. Deep Learning103 topics
  2. High-Energy Astrophysics51 topic
  3. Particle Acceleration51 topic
  4. Action Recognition41 topic
  5. Bayesian Networks41 topic
  6. Black Holes41 topic
  7. Causal Inference41 topic
  8. Interpretable Models41 topic
  9. Machine Learning Interpretability41 topic
  10. Pose Estimation41 topic
  11. X-Ray Astronomy41 topic
  12. Audio Signal Classification31 topic
  13. Image Captioning31 topic
  14. LDPC Codes31 topic
  15. Music Information Retrieval31 topic
  16. Polar Codes31 topic
  17. Visual Question Answering31 topic

Where does William T. Freeman work?

William T. Freeman's main affiliation in the publication record is Mitsubishi Electric (United States), United States.

How many publications and citations does William T. Freeman have?

OpenAlex counts 46 works and 4,146 citations for William T. Freeman, an h-index of 16, ranking #684,768 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.

Other researchers named William T. Freeman

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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