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Researcher · Columbia University · United States

David M. Blei

David M. Blei publishes mostly in Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition, on topics such as Bayesian Methods and Mixture Models, Gaussian Processes and Bayesian Inference and Statistical Methods and Inference.

ORCID 0000-0002-5588-4611 OpenAlex
World rank
#15,551
of 7,710,434 ranked researchers
Rank in United States
#5,532
of 1,627,098
Works
407
Citations
77k
Citations per work
189.3
h-index
82
i10-index 207Top 0.1% in Artificial Intelligence
David M. Blei

What does David M. Blei research?

David M. Blei's work is mostly in Computer Science (51%), Mathematics (15%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 279 works · 68.5% of their workComputer Science: 208 works · 51.2% of their workArtificial Intelligence: 188 works · 46.1% of their workComputer Vision and Pattern Recognition: 21 works · 5.1% of their workMathematics: 60 works · 14.8% of their workStatistics and Probability: 60 works · 14.8% of their workPhysics and Astronomy: 10 works · 2.5% of their workStatistical and Nonlinear Physics: 10 works · 2.5% of their workEverything else: 99 works · 24.3% of their workLife Sciences: 18 works · 4.3% of their workBiochemistry, Genetics and Molecular Biology: 18 works · 4.3% of their workMolecular Biology: 18 works · 4.3% of their workSocial Sciences: 12 works · 2.9% of their workSocial Sciences: 12 works · 2.9% of their workGeneral Social Sciences: 12 works · 2.9% of their workTHEIR WORKDavid M. Blei407works
Life Sciences4%Physical Sciences68%Social Sciences3%

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 Science20851.2%
    2. Mathematics6014.8%
    3. Physics and Astronomy102.5%
  2. Everything else9924.3%
    1. Biochemistry, Genetics and Molecular Biology184.3%
    1. Social Sciences122.9%
  1. 1Artificial Intelligence46% of their works
  2. 2Statistics and Probability15% of their works
  3. 3Computer Vision and Pattern Recognition5% of their works
  4. 4Molecular Biology4% of their works
  5. 5General Social Sciences3% of their works
  6. 6Statistical and Nonlinear Physics2% of their works

Research topics

Which keywords describe David M. Blei's research?

The keywords of their largest research topics: Bayesian Inference, Variational Inference, Clustering, Mixture Models, Deep Learning, Neural Networks, Gaussian Processes and Machine Learning.

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 21 words, with their numbers
  1. Bayesian Inference2042 topics
  2. Variational Inference2042 topics
  3. Clustering1211 topic
  4. Mixture Models1211 topic
  5. Deep Learning1152 topics
  6. Neural Networks982 topics
  7. Gaussian Processes831 topic
  8. Machine Learning831 topic
  9. Causal Inference792 topics
  10. Regularization731 topic
  11. Variable Selection731 topic
  12. Machine Translation661 topic
  13. Word Representation661 topic
  14. Bayesian Networks461 topic
  15. Graphical Models461 topic
  16. Neural Machine Translation371 topic
  17. Statistical Machine Translation371 topic
  18. Observational Studies331 topic
  19. Propensity Score331 topic
  20. Generative Adversarial Networks321 topic
  21. Image Synthesis321 topic

Where does David M. Blei work?

David M. Blei's main affiliation in the publication record is Columbia University, United States.

How many publications and citations does David M. Blei have?

OpenAlex counts 407 works and 77,053 citations for David M. Blei, an h-index of 82, ranking #15,551 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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