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Researcher · Newcastle University · United Kingdom

Chris J. Oates

Chris J. Oates publishes mostly in Artificial Intelligence, Statistics and Probability and Molecular Biology, on topics such as Gaussian Processes and Bayesian Inference, Statistical Methods and Inference and Probabilistic and Robust Engineering Design.

ORCID 0000-0002-4444-8603 OpenAlex
World rank
#1,477,276
of 7,710,434 ranked researchers
Rank in United Kingdom
#113,732
of 367,258
Works
173
Citations
1.6k
Citations per work
9.2
h-index
23
i10-index 43Top 9.4% in Artificial Intelligence
Chris J. Oates

What does Chris J. Oates research?

Chris J. Oates's work is mostly in Computer Science (26%), Mathematics (20%), Biochemistry, Genetics and Molecular Biology (9%).

Physical Sciences: 87 works · 50.5% of their workComputer Science: 45 works · 25.9% of their workArtificial Intelligence: 36 works · 20.9% of their workComputational Theory and Mathematics: 9 works · 5.0% of their workMathematics: 35 works · 20.3% of their workStatistics and Probability: 35 works · 20.3% of their workPhysics and Astronomy: 7 works · 4.3% of their workStatistical and Nonlinear Physics: 7 works · 4.3% of their workEverything else: 55 works · 32.0% of their workLife Sciences: 16 works · 9.3% of their workBiochemistry, Genetics and Molecular Biology: 16 works · 9.3% of their workMolecular Biology: 16 works · 9.3% of their workSocial Sciences: 14 works · 8.2% of their workDecision Sciences: 14 works · 8.2% of their workStatistics, Probability and Uncertainty: 14 works · 8.2% of their workTHEIR WORKChris J. Oates173works
Life Sciences9%Physical Sciences50%Social Sciences8%

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 Science4525.9%
    2. Mathematics3520.3%
    3. Physics and Astronomy74.3%
  2. Everything else5532.0%
    1. Biochemistry, Genetics and Molecular Biology169.3%
    1. Decision Sciences148.2%
  1. 1Artificial Intelligence21% of their works
  2. 2Statistics and Probability20% of their works
  3. 3Molecular Biology9% of their works
  4. 4Statistics, Probability and Uncertainty8% of their works
  5. 5Computational Theory and Mathematics5% of their works
  6. 6Statistical and Nonlinear Physics4% of their works

Research topics

Which keywords describe Chris J. Oates's research?

The keywords of their largest research topics: Bayesian Inference, Variational Inference, Model Selection, Deep Learning, Machine Learning, Sensitivity Analysis, Gaussian Processes and Sparse Regression.

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 23 words, with their numbers
  1. Bayesian Inference662 topics
  2. Variational Inference662 topics
  3. Model Selection652 topics
  4. Deep Learning602 topics
  5. Machine Learning602 topics
  6. Sensitivity Analysis532 topics
  7. Gaussian Processes451 topic
  8. Sparse Regression451 topic
  9. Inverse Problems442 topics
  10. Regularization361 topic
  11. Variable Selection361 topic
  12. Polynomial Chaos341 topic
  13. Uncertainty Quantification341 topic
  14. Bayesian Monte Carlo291 topic
  15. Markov Chain291 topic
  16. Clustering211 topic
  17. Mixture Models211 topic
  18. Bayesian Modeling191 topic
  19. Multiple Imputation191 topic
  20. High-dimensional Integration161 topic
  21. Quasi-Monte Carlo161 topic
  22. Model Reduction151 topic
  23. Partial Differential Equations151 topic

Where does Chris J. Oates work?

Chris J. Oates's main affiliation in the publication record is Newcastle University, United Kingdom.

How many publications and citations does Chris J. Oates have?

OpenAlex counts 173 works and 1,590 citations for Chris J. Oates, an h-index of 23, ranking #1,477,276 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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