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Researcher · University of Toronto · Canada

Jeffrey S. Rosenthal

Jeffrey S. Rosenthal publishes mostly in Statistics and Probability, Artificial Intelligence and Mathematical Physics, on topics such as Markov Chains and Monte Carlo Methods, Bayesian Methods and Mixture Models and Statistical Methods and Inference.

ORCID 0000-0002-5118-6808 OpenAlex
World rank
#397,069
of 7,710,434 ranked researchers
Rank in Canada
#13,816
of 183,316
Works
308
Citations
12k
Citations per work
37.8
h-index
48
i10-index 121Top 3.2% in Statistics and Probability
Jeffrey S. Rosenthal

What does Jeffrey S. Rosenthal research?

Jeffrey S. Rosenthal's work is mostly in Mathematics (37%), Computer Science (16%), Economics, Econometrics and Finance (3%).

Physical Sciences: 173 works · 56.3% of their workMathematics: 115 works · 37.3% of their workStatistics and Probability: 90 works · 29.3% of their workMathematical Physics: 25 works · 8.0% of their workComputer Science: 50 works · 16.2% of their workArtificial Intelligence: 50 works · 16.2% of their workEarth and Planetary Sciences: 9 works · 2.8% of their workPaleontology: 9 works · 2.8% of their workEverything else: 116 works · 37.7% of their workSocial Sciences: 18 works · 6.0% of their workEconomics, Econometrics and Finance: 10 works · 3.3% of their workEconomics and Econometrics: 10 works · 3.3% of their workSocial Sciences: 8 works · 2.7% of their workAnthropology: 8 works · 2.7% of their workTHEIR WORKJeffrey S.Rosenthal308works
Physical Sciences56%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. Mathematics11537.3%
    2. Computer Science5016.2%
    3. Earth and Planetary Sciences92.8%
  2. Everything else11637.7%
    1. Economics, Econometrics and Finance103.3%
    2. Social Sciences82.7%
  1. 1Statistics and Probability29% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Mathematical Physics8% of their works
  4. 4Economics and Econometrics3% of their works
  5. 5Paleontology3% of their works
  6. 6Anthropology3% of their works

Research topics

Which keywords describe Jeffrey S. Rosenthal's research?

The keywords of their largest research topics: Model Selection, Bayesian Monte Carlo, Markov Chain, Clustering, Mixture Models, Regularization, Variable Selection and Interacting Particle Systems.

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 17 words, with their numbers
  1. Model Selection2032 topics
  2. Bayesian Monte Carlo1451 topic
  3. Markov Chain1451 topic
  4. Clustering741 topic
  5. Mixture Models741 topic
  6. Regularization581 topic
  7. Variable Selection581 topic
  8. Interacting Particle Systems571 topic
  9. Scaling Limits571 topic
  10. Agricultural Origins231 topic
  11. Radiocarbon Dating231 topic
  12. Active Learning191 topic
  13. Machine Learning191 topic
  14. Bayesian Modeling171 topic
  15. Multiple Imputation171 topic
  16. Climate Change161 topic
  17. Paleoclimatology161 topic

Where does Jeffrey S. Rosenthal work?

Jeffrey S. Rosenthal's main affiliation in the publication record is University of Toronto, Canada.

How many publications and citations does Jeffrey S. Rosenthal have?

OpenAlex counts 308 works and 11,640 citations for Jeffrey S. Rosenthal, an h-index of 48, ranking #397,069 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.

Discussion

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