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Researcher · University of Warwick · United Kingdom

Adam Michael Johansen

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

ORCID 0000-0002-3531-7628 OpenAlex
World rank
#1,339,440
of 7,710,434 ranked researchers
Rank in United Kingdom
#104,508
of 367,258
Works
116
Citations
2.8k
Citations per work
24.4
h-index
21
i10-index 31Top 12% in Artificial Intelligence
Adam Michael Johansen

What does Adam Michael Johansen research?

Adam Michael Johansen's work is mostly in Computer Science (31%), Mathematics (31%), Engineering (3%).

Physical Sciences: 78 works · 67.0% of their workComputer Science: 36 works · 30.8% of their workArtificial Intelligence: 36 works · 30.8% of their workMathematics: 36 works · 30.7% of their workStatistics and Probability: 32 works · 27.2% of their workMathematical Physics: 4 works · 3.5% of their workEngineering: 3 works · 2.9% of their workComputational Mechanics: 3 works · 2.9% of their workPhysics and Astronomy: 3 works · 2.6% of their workStatistical and Nonlinear Physics: 3 works · 2.6% of their workEverything else: 35 works · 30.4% of their workSocial Sciences: 3 works · 2.6% of their workDecision Sciences: 3 works · 2.6% of their workManagement Science and Operations Research: 3 works · 2.6% of their workTHEIR WORKAdam MichaelJohansen116works
Physical Sciences67%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 Science3630.8%
    2. Mathematics3630.7%
    3. Engineering32.9%
    4. Physics and Astronomy32.6%
  2. Everything else3530.4%
    1. Decision Sciences32.6%
  1. 1Artificial Intelligence31% of their works
  2. 2Statistics and Probability27% of their works
  3. 3Mathematical Physics4% of their works
  4. 4Computational Mechanics3% of their works
  5. 5Statistical and Nonlinear Physics3% of their works
  6. 6Management Science and Operations Research3% of their works

Research topics

Which keywords describe Adam Michael Johansen's research?

The keywords of their largest research topics: Bayesian Inference, Model Selection, Variational Inference, Clustering, Mixture Models, Bayesian Monte Carlo, Markov Chain and Regularization.

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 19 words, with their numbers
  1. Bayesian Inference813 topics
  2. Model Selection662 topics
  3. Variational Inference522 topics
  4. Clustering371 topic
  5. Mixture Models371 topic
  6. Bayesian Monte Carlo351 topic
  7. Markov Chain351 topic
  8. Regularization311 topic
  9. Variable Selection311 topic
  10. Nonlinear Estimation291 topic
  11. Particle Filters291 topic
  12. Bayesian Modeling151 topic
  13. Gaussian Processes151 topic
  14. Machine Learning151 topic
  15. Multiple Imputation151 topic
  16. Bayesian Networks81 topic
  17. Causal Inference81 topic
  18. Interacting Particle Systems71 topic
  19. Scaling Limits71 topic

Where does Adam Michael Johansen work?

Adam Michael Johansen's main affiliation in the publication record is University of Warwick, United Kingdom.

How many publications and citations does Adam Michael Johansen have?

OpenAlex counts 116 works and 2,829 citations for Adam Michael Johansen, an h-index of 21, ranking #1,339,440 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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