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Peter Bühlmann

Active 1996–2026

140
Papers
31,997
Citations
65
h-index
110
i10-index

Citations

Citations per year for Peter Bühlmann1961: 1 citations1981: 1 citations1988: 3 citations1991: 1 citations1996: 5 citations1997: 2 citations1999: 3 citations2000: 8 citations2001: 10 citations2002: 31 citations2003: 36 citations2004: 47 citations2005: 75 citations2006: 138 citations2007: 153 citations2008: 246 citations2009: 267 citations2010: 305 citations2011: 424 citations2012: 450 citations2013: 538 citations2014: 619 citations2015: 665 citations2016: 647 citations2017: 565 citations2018: 668 citations2019: 1,027 citations2020: 1,181 citations2021: 1,200 citations2022: 1,084 citations2023: 893 citations2024: 1,080 citations2025: 731 citations2026: 191 citations2027: 1 citations1962–1980: no citations, so these years are not shown1982–1987: no citations, so these years are not shown1989–1990: no citations, so these years are not shown1992–1995: no citations, so these years are not shown1998: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,269 citing papers, 27.4% of this breakdownChina: 1,794 citing papers, 11.5% of this breakdownGermany: 957 citing papers, 6.2% of this breakdownUnited Kingdom: 876 citing papers, 5.6% of this breakdownFrance: 673 citing papers, 4.3% of this breakdownSwitzerland: 493 citing papers, 3.2% of this breakdownCanada: 476 citing papers, 3.1% of this breakdownItaly: 453 citing papers, 2.9% of this breakdownNetherlands: 430 citing papers, 2.8% of this breakdownAustralia: 425 citing papers, 2.7% of this breakdownSpain: 361 citing papers, 2.3% of this breakdownJapan: 299 citing papers, 1.9% of this breakdown
0%27.4%Other 26.1%

Institutions

Fields

  • Computer Science29.1%
  • Biochemistry, Genetics and Molecular Biology20.9%
  • Mathematics14.4%
  • Medicine11.4%
  • Engineering8.6%
  • Neuroscience2.6%
  • Other13%

Topics

  • Statistical Methods and Inference6.6%
  • Gene expression and cancer classification4.8%
  • Bioinformatics and Genomic Networks3.7%
  • Bayesian Modeling and Causal Inference3.5%
  • Sparse and Compressive Sensing Techniques2.6%
  • Bayesian Methods and Mixture Models2.2%
  • Other76.6%

Coauthors

All papers

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  1. MissForest - non-parametric missing value imputation for mixed-type data

    Authors: Daniel J. Stekhoven, Peter Bühlmann - Bioinformatics, Bioinform. 2011 cited by 6,109

  2. Stability Selection

    Authors: Nicolai Meinshausen, Peter Bühlmann - Journal of the Royal Statistical Society Series B (Statistical Methodology) 2010 cited by 2,135

  3. High dimensional graphs and variable selection with the Lasso

    Authors: Nicolai Meinshausen, Peter Bühlmann - The Annals of Statistics 2006 cited by 2,741

  4. Statistics for High-Dimensional Data

    Authors: Peter Bühlmann, Sara van de Geer - Springer series in statistics 2011 cited by 1,620

  5. The Group Lasso for Logistic Regression

    Authors: Lukas Meier, Sara van de Geer, Peter Bühlmann - Journal of the Royal Statistical Society Series B (Statistical Methodology) 2008 cited by 1,720

  6. On asymptotically optimal confidence regions and tests for high-dimensional models

    Authors: Sara van de Geer, Peter Bühlmann, Ya’acov Ritov, Ruben Dezeure - The Annals of Statistics 2014 cited by 801

  7. Boosting With theL2Loss

    Authors: Peter Bühlmann, Bin Yu - Journal of the American Statistical Association 2003 cited by 864

  8. Bagging, Boosting and Ensemble Methods

    Authors: Peter Bühlmann - Handbook of Computational Statistics 2011 cited by 375

  9. Analyzing bagging

    Authors: Peter Bühlmann, Bin Yu - The Annals of Statistics 2002 cited by 591

  10. Predicting sepsis using deep learning across international sites: a retrospective development and validation study

    Authors: Michael Moor, Nicolas Bennett, Drago Plečko, Max Horn, Bastian Rieck, Nicolai Meinshausen, Peter Bühlmann, Karsten Borgwardt - EClinicalMedicine 2023 cited by 97

  11. Causal Inference Using Graphical Models with theRPackagepcalg

    Authors: Markus Kalisch, Martin Mächler, Diego Colombo, Marloes H. Maathuis, Peter Bühlmann - Journal of Statistical Software 2012 cited by 541

  12. BOOSTING ALGORITHMS: REGULARIZATION, PREDICTION AND MODEL FITTING

    Authors: Peter Bühlmann, Torsten Hothorn - Statistical Science 2007 cited by 738

  13. CAM: Causal Additive Models, high-dimensional order search and penalized regression

    Authors: Peter Bühlmann, Jonas Peters, Jan Ernest - The Annals of Statistics 2014 cited by 214

  14. Identifiability of Gaussian structural equation models with equal error variances

    Authors: Jonas Peters, Peter Bühlmann - Biometrika 2013 cited by 223

  15. Structural Intervention Distance for Evaluating Causal Graphs

    Authors: Jonas Peters, Peter Bühlmann - Neural Computation, Neural Comput. 2015 cited by 99

  16. Analyzing gene expression data in terms of gene sets: methodological issues

    Authors: Jelle J. Goeman, Peter Bühlmann - Bioinformatics, Bioinform. 2007 cited by 833

  17. Estimating high-dimensional intervention effects from observational data

    Authors: Marloes H. Maathuis, Markus Kalisch, Peter Bühlmann - The Annals of Statistics 2009 cited by 325

  18. A systematic comparison and evaluation of biclustering methods for gene expression data

    Authors: Amela Prelic, Stefan Bleuler, Philip Zimmermann, Anja Wille, Peter Bühlmann, Wilhelm Gruissem, Lars Hennig, Lothar Thiele, Eckart Zitzler - Bioinformatics, Bioinform. 2006 cited by 918

  19. On the conditions used to prove oracle results for the Lasso

    Authors: Sara A. van de Geer, Peter Bühlmann - Electronic Journal of Statistics 2009 cited by 719

  20. High-Dimensional Statistics with a View Toward Applications in Biology

    Authors: Peter Bühlmann, Markus Kalisch, Lukas Meier - Annual Review of Statistics and Its Application 2014 cited by 278

  21. Arabidopsis GERANYLGERANYL DIPHOSPHATE SYNTHASE 11 is a hub isozyme required for the production of most photosynthesis‐related isoprenoids

    Authors: M. Águila Ruiz‐Sola, Diana Coman, Gilles Beck, M. Victoria Barja, Maite Colinas, Alexander Graf, Ralf Welsch, Philipp Rütimann, Peter Bühlmann, Laurent Bigler, Wilhelm Gruissem, Manuel Rodrı́guez-Concepción, Eva Vranová - New Phytologist 2015 cited by 157

  22. Anchor Regression: Heterogeneous Data Meet Causality

    Authors: Dominik Rothenhaüsler, Nicolai Meinshausen, Peter Bühlmann, Jonas Peters - Journal of the Royal Statistical Society Series B (Statistical Methodology) 2021 cited by 82

  23. Methods for causal inference from gene perturbation experiments and validation

    Authors: Nicolai Meinshausen, Alain Hauser, Joris M. Mooij, Jonas Peters, Philip Versteeg, Peter Bühlmann - National Academy of Sciences, Proceedings of the National Academy of Sciences 2016 cited by 142

  24. openalex_id:w2963535485

    Authors: Niklas Pfister, Peter Bühlmann, Bernhard Schölkopf, Jonas Peters cited by 186