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World rank
#4,949
of 7,710,434 ranked researchers
Rank in United States
#1,689
of 1,627,098
Works
1,165
Citations
182k
Citations per work
155.9

What does Michael I. Jordan research?

Michael I. Jordan's work is mostly in Computer Science (40%), Mathematics (10%), Decision Sciences (6%).

Life Sciences6%Physical Sciences54%Social Sciences6%

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 Science46740.1%
    2. Mathematics1159.9%
    3. Engineering484.1%
  1. Everything else40134.4%
    1. Decision Sciences706.0%
    1. Biochemistry, Genetics and Molecular Biology645.5%
  1. 1Artificial Intelligence36% of their works
  2. 2Statistics and Probability10% of their works
  3. 3Management Science and Operations Research6% of their works
  4. 4Molecular Biology6% of their works
  5. 5Computational Mechanics4% of their works
  6. 6Computer Vision and Pattern Recognition4% of their works

Research topics

Which keywords describe Michael I. Jordan's research?

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

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. Deep Learning4214 topics
  2. Convex Optimization3553 topics
  3. Bayesian Inference2212 topics
  4. Variational Inference2212 topics
  5. Neural Networks2122 topics
  6. Gaussian Processes2092 topics
  7. Machine Learning2092 topics
  8. Clustering1451 topic
  9. Mixture Models1451 topic
  10. Regularization1351 topic
  11. Variable Selection1351 topic
  12. Active Learning1331 topic
  13. Random Projections1331 topic
  14. Semi-Supervised Learning1331 topic
  15. Stochastic Gradient Descent1331 topic
  16. Compressed Sensing1231 topic
  17. Sparse Representation1231 topic
  18. Bandit Optimization991 topic
  19. Bayesian Optimization991 topic
  20. Backpropagation Learning791 topic
  21. Self-Organizing Maps791 topic
  22. Probabilistic Models761 topic
  23. Sparse Regression761 topic

Where does Michael I. Jordan work?

Michael I. Jordan's main affiliation in the publication record is University of California, Berkeley, United States.

How many publications and citations does Michael I. Jordan have?

OpenAlex counts 1,165 works and 181,578 citations for Michael I. Jordan, an h-index of 162, ranking #4,949 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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