Peter Bühlmann
Peter Bühlmann publishes mostly in Statistics and Probability, Artificial Intelligence and Molecular Biology, on topics such as Statistical Methods and Inference, Bayesian Modeling and Causal Inference and Statistical Methods and Bayesian Inference.
- World rank
- #50,424 of 7,710,434 ranked researchers
- Rank in Switzerland
- #1,074 of 80,918
- Works
- 375
- Citations
- 34k
- Citations per work
- 90.2
What does Peter Bühlmann research?
Peter Bühlmann's work is mostly in Mathematics (38%), Computer Science (25%), Biochemistry, Genetics and Molecular Biology (10%).
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
- Physical Sciences24465.0%
- Mathematics14137.6%
- Computer Science9425.0%
- Engineering92.4%
- Everything else7519.9%
- Life Sciences3910.3%
- Social Sciences184.8%
- 1Statistics and Probability38% of their works
- 2Artificial Intelligence25% of their works
- 3Molecular Biology10% of their works
- 4Finance3% of their works
- 5Control and Systems Engineering2% of their works
- 6Economics and Econometrics2% of their works
Research topics
- Statistical Methods and Inference
- Bayesian Modeling and Causal Inference
- Statistical Methods and Bayesian Inference
- Bayesian Methods and Mixture Models
- Advanced Causal Inference Techniques
- Advanced Statistical Methods and Models
- Gene expression and cancer classification
- Financial Risk and Volatility Modeling
Which keywords describe Peter Bühlmann's research?
The keywords of their largest research topics: Regularization, Variable Selection, Causal Inference, Clustering, Bayesian Networks, Graphical Models, Bayesian Modeling and Multiple Imputation.
- Volatility
- Microarray
- Regression Analysis
- Propensity Score
- Mixture Models
- Multiple Imputation
- Graphical Models
- Clustering
- Variable Selection
- Regularization
- Causal Inference
- Bayesian Networks
- Bayesian Modeling
- Bayesian Inference
- Observational Studies
- Multicollinearity
- Gene Expression
- GARCH Models
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 18 words, with their numbers
- Regularization1791 topic
- Variable Selection1791 topic
- Causal Inference1242 topics
- Clustering832 topics
- Bayesian Networks751 topic
- Graphical Models751 topic
- Bayesian Modeling661 topic
- Multiple Imputation661 topic
- Bayesian Inference491 topic
- Mixture Models491 topic
- Observational Studies491 topic
- Propensity Score491 topic
- Multicollinearity431 topic
- Regression Analysis431 topic
- Gene Expression341 topic
- Microarray341 topic
- GARCH Models241 topic
- Volatility241 topic
Where does Peter Bühlmann work?
Peter Bühlmann's main affiliation in the publication record is ETH Zurich, Switzerland.
How many publications and citations does Peter Bühlmann have?
OpenAlex counts 375 works and 33,825 citations for Peter Bühlmann, an h-index of 67, ranking #50,424 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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