Peter Bühlmann
Impact in
- Statistics and Probability top 0.02%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Artificial Intelligence top 0.2%
- Bayesian Modeling and Causal Inference
- Bayesian Methods and Mixture Models
Papers in
-
- Statistical Methods and Inference 102
- Statistical Methods and Bayesian Inference 35
- Advanced Statistical Methods and Models 25
- Advanced Causal Inference Techniques 21
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- Bayesian Modeling and Causal Inference 33
- Bayesian Methods and Mixture Models 29
- Co-authors
- Daniel J. Stekhoven (3 shared papers)Sara van de Geer (24 shared papers)Nicolai Meinshausen (15 shared papers)Lukas Meier (8 shared papers)Bin Yu (3 shared papers)Jelle J. Goeman (1 shared paper)Markus Kalisch (14 shared papers)Marcel Dettling (10 shared papers)
- Journals
- The Annals of Statistics (18 papers)Bioinformatics (8 papers)Journal of the American Statistical Association (7 papers)Biometrika (7 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (7 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Peter Bühlmann
191 papers receiving 17.5k citations
Peter Bühlmann's Hit Papers
Peers
Comparison fields: 5 of 220
- Statistics and Probability 4.9k
- Artificial Intelligence 4.7k
- Finance 884
- Management Science and Operations Research 972
- Molecular Biology 4.1k
Countries citing papers authored by Peter Bühlmann
This map shows the geographic impact of Peter Bühlmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Bühlmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Bühlmann more than expected).
Fields of papers citing papers by Peter Bühlmann
This network shows the impact of papers produced by Peter Bühlmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Bühlmann. The network helps show where Peter Bühlmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Bühlmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 205 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MissForest—non-parametric missing value imputation for mixed-type data Hit paper breakdown → | 2011 | 3904 |
| 2 | Stability Selection Hit paper breakdown → | 2010 | 1424 |
| 3 | The Group Lasso for Logistic Regression Hit paper breakdown → | 2008 | 1130 |
| 4 | Statistics for High-Dimensional Data Hit paper breakdown → | 2011 | 1079 |
| 5 | A systematic comparison and evaluation of biclustering methods for gene expression data Hit paper breakdown → | 2006 | 685 |
| 6 | Boosting With theL2Loss Hit paper breakdown → | 2003 | 629 |
| 7 | Analyzing gene expression data in terms of gene sets: methodological issues Hit paper breakdown → | 2007 | 586 |
| 8 | Analyzing bagging Hit paper breakdown → | 2002 | 441 |
| 9 | Causal Inference Using Graphical Models with theRPackagepcalg Hit paper breakdown → | 2012 | 344 |
| 10 | 2009 | 334 | |
| 11 | 1997 | 309 | |
| 12 | 2011 | 286 | |
| 13 | 2004 | 276 | |
| 14 | 1999 | 273 | |
| 15 | 2009 | 272 | |
| 16 | 2003 | 266 | |
| 17 | 2009 | 261 | |
| 18 | 2006 | 248 | |
| 19 | 2006 | 223 | |
| 20 | 2009 | 197 |
About Peter Bühlmann
Peter Bühlmann is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Finance and Economics and Econometrics, having authored 205 papers that have together received 18.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (102 papers), Statistical Methods and Bayesian Inference (35 papers), Bayesian Modeling and Causal Inference (33 papers), Bayesian Methods and Mixture Models (29 papers), Advanced Statistical Methods and Models (25 papers), Financial Risk and Volatility Modeling (23 papers), Gene expression and cancer classification (22 papers) and Advanced Causal Inference Techniques (21 papers). The work is most often cited by research in Statistics and Probability (4.9k citations), Artificial Intelligence (4.7k citations), Finance (884 citations), Management Science and Operations Research (972 citations) and Molecular Biology (4.1k citations). Peter Bühlmann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Daniel J. Stekhoven, Sara van de Geer, Nicolai Meinshausen, Lukas Meier, Bin Yu, Jelle J. Goeman, Markus Kalisch, Marcel Dettling, Bin Yu and Marloes H. Maathuis. Their work appears in journals such as The Annals of Statistics, Bioinformatics, Journal of the American Statistical Association, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.