Peter Bühlmann

29.7k total citations · 9 hit papers
177 papers, 16.3k citations indexed

About

Peter Bühlmann is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Peter Bühlmann has authored 177 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Statistics and Probability, 72 papers in Artificial Intelligence and 40 papers in Molecular Biology. Recurrent topics in Peter Bühlmann's work include Statistical Methods and Inference (86 papers), Statistical Methods and Bayesian Inference (34 papers) and Bayesian Modeling and Causal Inference (33 papers). Peter Bühlmann is often cited by papers focused on Statistical Methods and Inference (86 papers), Statistical Methods and Bayesian Inference (34 papers) and Bayesian Modeling and Causal Inference (33 papers). Peter Bühlmann collaborates with scholars based in Switzerland, United States and Germany. Peter Bühlmann's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Peter Bühlmann

170 papers receiving 15.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MissForest—non-parametric missing value imputation for mixed-type data

2011 3.6k citations Daniel J. Stekhoven, Peter Bühlmann Bioinformatics profile →
Stability Selection

2010 1.3k citations Nicolai Meinshausen, Peter Bühlmann profile →
The Group Lasso for Logistic Regression

2008 1.0k citations Sara van de Geer, Peter Bühlmann et al. profile →
Statistics for High-Dimensional Data

2011 971 citations Peter Bühlmann, Sara van de Geer profile →
A systematic comparison and evaluation of biclustering methods for gene expression data

2006 584 citations Stefan Bleuler, Philip Zimmermann et al. Bioinformatics profile →
Boosting With theL₂Loss

2003 563 citations Peter Bühlmann et al. profile →
Analyzing gene expression data in terms of gene sets: methodological issues

2007 562 citations Peter Bühlmann et al. Bioinformatics profile →
Analyzing bagging

2002 371 citations Peter Bühlmann et al. The Annals of Statistics profile →
Causal Inference Using Graphical Models with theRPackagepcalg

2012 307 citations Peter Bühlmann et al. profile →

Peers

Countries citing papers authored by Peter Bühlmann

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter Bühlmann

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Bühlmann. A scholar is included among the top collaborators of Peter Bühlmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Bühlmann. Peter Bühlmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Causal chambers as a real-world physical testbed for AI methodology 2025 ·Nature Machine Intelligence ·(unknown), Jonas Peters, Peter Bühlmann	3
2	Causality pursuit from heterogeneous environments via neural adversarial invariance learning 2025 ·The Annals of Statistics ·(unknown), Cong Fang, Peter Bühlmann, (unknown)	0
3	Model selection over partially ordered sets 2024 ·Proceedings of the National Academy of Sciences ·(unknown), Peter Bühlmann, Venkat Chandrasekaran	1
4	Single-cell profiling of alveolar rhabdomyosarcoma reveals RAS pathway inhibitors as cell-fate hijackers with therapeutic relevance 2023 ·Science Advances ·(unknown), Ermelinda Porpiglia, Andrea J. De Micheli, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Joana G. Marques, Stephanie Kasper, Peter K. Bode, Anton G. Henssen, Dennis Gürgen, Olivier Delattre, Didier Surdez, Josep Roma, Peter Bühlmann, Helen M. Blau, Marco Wachtel, Beat W. Schäfer	31
5	On the pitfalls of Gaussian likelihood scoring for causal discovery 2023 ·SHILAP Revista de lepidopterología ·(unknown), Peter Bühlmann	0
6	ricu: R’s interface to intensive care data 2022 ·GigaScience ·(unknown), (unknown), (unknown), Nicolai Meinshausen, Peter Bühlmann	8
7	Seeded binary segmentation: a general methodology for fast and optimal changepoint detection 2022 ·Biometrika ·(unknown), Peter Bühlmann, Hua Li, Axel Munk	28
8	Identifying cancer pathway dysregulations using differential causal effects 2021 ·Bioinformatics ·Kim Philipp Jablonski, (unknown), (unknown), Peter Bühlmann, Niko Beerenwinkel	5
9	Methods for causal inference from gene perturbation experiments and validation 2016 ·Proceedings of the National Academy of Sciences ·Nicolai Meinshausen, Alain Hauser, Joris M. Mooij, Jonas Peters, (unknown), Peter Bühlmann	72
10	Mathematics, Statistics and Data Science 2016 ·CaltechAUTHORS (California Institute of Technology) ·Peter Bühlmann, Andrew M. Stuart	1
11	Pattern alternating maximization algorithm for missing data in high-dimensional problems 2014 ·Journal of Machine Learning Research ·Nicolas Städler, Daniel J. Stekhoven, Peter Bühlmann	14
12	Prediction and variable selection with the adaptive Lasso 2010 ·arXiv (Cornell University) ·Sara van de Geer, Shuheng Zhou, Peter Bühlmann	4
13	Mining Tissue Microarray Data to Uncover Combinations of Biomarker Expression Patterns that Improve Intermediate Staging and Grading of Clear Cell Renal Cell Cancer 2009 ·Clinical Cancer Research ·(unknown), Barbara Ingold, Peter J. Wild, Gunther Boysen, Van-Duc Luu, M. Montani, Glen Kristiansen, Tullio Sulser, Peter Bühlmann, Holger Moch, Peter Schraml	75
14	Boosting Algorithms: Regularization, Prediction and Model Fitting. Rejoinder. 2007 ·Statistical Science ·Peter Bühlmann, Torsten Hothorn	5
15	A systematic comparison and evaluation of biclustering methods for gene expression data breakdown → 2006 ·Bioinformatics ·(unknown), Stefan Bleuler, Philip Zimmermann, Anja Wille, Peter Bühlmann, Wilhelm Gruissem, Lars Hennig, Lothar Thiele, Eckart Zitzler	584
16	Boosting, model selection, lasso and nonnegative garrote 2005 ·Kagoshima Kenritsu Tanki Daigaku Chiiki Kenkyūjo kenkyū nenpō ·Peter Bühlmann, Bin Yu	9
17	Finding predictive gene groups from microarray data 2004 ·Journal of Multivariate Analysis ·Marcel Dettling, Peter Bühlmann	90
18	Supervised clustering of genes 2002 ·Genome biology ·Marcel Dettling, Peter Bühlmann	104
19	Sieve Bootstrap for Time Series 1997 ·Bernoulli ·Peter Bühlmann	277
20	The blockwise bootstrap for general empirical processes of stationary sequences 1995 ·Stochastic Processes and their Applications ·Peter Bühlmann	24

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.

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