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Researcher · Google (United States) · United States

James Davidson

James Davidson publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Mathematical Physics, on topics such as Adversarial Robustness in Machine Learning, Reinforcement Learning in Robotics and Human Pose and Action Recognition.

ORCID 0000-0001-5853-4310 OpenAlex
World rank
#1,800,449
of 7,710,434 ranked researchers
Rank in United States
#553,271
of 1,627,098
Works
55
Citations
3.4k
Citations per work
62.1
h-index
16
i10-index 20Top 20% in Artificial Intelligence
James Davidson

What does James Davidson research?

James Davidson's work is mostly in Computer Science (40%), Mathematics (5%), Engineering (4%).

Physical Sciences: 27 works · 49.0% of their workComputer Science: 22 works · 39.7% of their workArtificial Intelligence: 16 works · 29.1% of their workComputer Vision and Pattern Recognition: 6 works · 10.6% of their workMathematics: 3 works · 5.0% of their workMathematical Physics: 3 works · 5.0% of their workEngineering: 2 works · 4.3% of their workControl and Systems Engineering: 2 works · 4.3% of their workEverything else: 25 works · 44.7% of their workSocial Sciences: 2 works · 3.5% of their workDecision Sciences: 2 works · 3.5% of their workManagement Science and Operations Research: 2 works · 3.5% of their workHealth Sciences: 2 works · 2.8% of their workMedicine: 2 works · 2.8% of their workEndocrinology, Diabetes and Metabolism: 2 works · 2.8% of their workTHEIR WORKJames Davidson55works
Physical Sciences49%Health Sciences3%Social Sciences4%

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 Science2239.7%
    2. Mathematics35.0%
    3. Engineering24.3%
  2. Everything else2544.7%
    1. Decision Sciences23.5%
    1. Medicine22.8%
  1. 1Artificial Intelligence29% of their works
  2. 2Computer Vision and Pattern Recognition11% of their works
  3. 3Mathematical Physics5% of their works
  4. 4Control and Systems Engineering4% of their works
  5. 5Management Science and Operations Research4% of their works
  6. 6Endocrinology, Diabetes and Metabolism3% of their works

Research topics

Which keywords describe James Davidson's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Action Recognition, Adversarial Examples, Pose Estimation, Reinforcement Learning, Robotics and Robustness.

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 18 words, with their numbers
  1. Deep Learning265 topics
  2. Neural Networks163 topics
  3. Action Recognition61 topic
  4. Adversarial Examples61 topic
  5. Pose Estimation61 topic
  6. Reinforcement Learning61 topic
  7. Robotics61 topic
  8. Robustness61 topic
  9. Anomaly Detection41 topic
  10. Domain Adaptation41 topic
  11. Grasping41 topic
  12. Insurance41 topic
  13. Option Pricing41 topic
  14. Risk41 topic
  15. Robot Learning41 topic
  16. Stochastic Calculus41 topic
  17. Transfer Learning41 topic
  18. Unsupervised41 topic

Where does James Davidson work?

James Davidson's main affiliation in the publication record is Google (United States), United States.

How many publications and citations does James Davidson have?

OpenAlex counts 55 works and 3,416 citations for James Davidson, an h-index of 16, ranking #1,800,449 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.

Other researchers named James Davidson

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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