World's Best Scientists 2026 revealed!
Peter Bühlmann

Peter Bühlmann

Award Badge
Mathematics
Switzerland
2026

D-Index & Metrics

Mathematics

D-Index
76
Citations
40281
World Ranking
189
National Ranking
3

Peter Bühlmann publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Peter Bühlmann sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 251 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Peter Bühlmann D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Peter Bühlmann sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 76 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Mathematics in Switzerland Leader Award
  • 2025 - Research.com Mathematics in Switzerland Leader Award
  • 2022 - Research.com Mathematics in Switzerland Leader Award
  • 2016 - Fellow of the American Statistical Association (ASA)

Overview

Peter Bühlmann is affiliated with ETH Zurich in Switzerland. Their research spans across several key fields, primarily focused on Mathematics and Computer Science. Within these fields, their work extensively covers subfields such as Statistics and Probability, Artificial Intelligence, Molecular Biology, Control and Systems Engineering, and Epidemiology.

The main topics of their work include:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Bayesian Modeling and Causal Inference
  • Advanced Causal Inference Techniques
  • Advanced Statistical Methods and Models
  • Bayesian Methods and Mixture Models
  • Machine Learning in Healthcare

They have contributed to the following recent papers:

  • Anchor Regression: Heterogeneous Data Meet Causality (2021), Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • Predicting sepsis using deep learning across international sites: a retrospective development and validation study (2023), EClinicalMedicine
  • Seeded binary segmentation: a general methodology for fast and optimal changepoint detection (2022), Biometrika
  • Single-cell profiling of alveolar rhabdomyosarcoma reveals RAS pathway inhibitors as cell-fate hijackers with therapeutic relevance (2023), Science Advances
  • Multiomic profiling of the liver across diets and age in a diverse mouse population (2021), Cell Systems

The scientist frequently collaborates with several coauthors, including:

  • Nicolai Meinshausen
  • Domagoj Ćevid
  • Christoph Schultheiss
  • Solt Kovács
  • Corinne Emmenegger

They have published extensively in various venues, with the highest number of publications found in:

  • arXiv (Cornell University)
  • Statistical Science
  • Repository for Publications and Research Data (ETH Zurich)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biometrika

In recognition of their contributions, the scientist was named Fellow of the American Statistical Association (ASA) in 2016.

Best Publications

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

    Daniel J. Stekhoven;Peter L. Bühlmann

  • High-dimensional graphs and variable selection with the Lasso

    Nicolai Meinshausen;Peter Bühlmann

  • The group lasso for logistic regression

    Lukas Meier;Sara Van De Geer;Peter Bühlmann

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

    Sara van de Geer;Peter Bühlmann;Ya’acov Ritov;Ruben Dezeure

  • BOOSTING ALGORITHMS: REGULARIZATION, PREDICTION AND MODEL FITTING

    Peter Bühlmann;Torsten Hothorn

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

    Amela Prelić;Stefan Bleuler;Philip Zimmermann;Anja Wille

  • Analyzing gene expression data in terms of gene sets

    Jelle J. Goeman;Peter Bühlmann

  • Boosting With the L2 Loss

    Peter Lukas Bühlmann;Bin Yu

  • Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm

    Markus Kalisch;Peter Bühlmann

  • Analyzing Bagging

    Unknown

  • On the conditions used to prove oracle results for the Lasso

    Sara A. van de Geer;Peter Bühlmann

  • Causal inference by using invariant prediction: identification and confidence intervals

    Jonas Peters;Peter Bühlmann;Nicolai Meinshausen

  • Causal Inference using Graphical Models with the R Package pcalg

    Markus Kalisch;Martin Mächler;Diego Colombo;Marloes H. Maathuis

  • Sieve bootstrap for time series

    Peter Bühlmann

  • Variable length Markov chains

    Peter Bühlmann;Abraham J. Wyner

  • High-dimensional additive modeling

    Lukas Meier;Sara van de Geer;Peter Bühlmann

  • Boosting for high-dimensional linear models

    Peter Lukas Bühlmann

  • p-Values for High-Dimensional Regression

    Nicolai Meinshausen;Lukas Meier;Peter Bühlmann

  • Sparse graphical Gaussian modeling of the isoprenoid gene network in Arabidopsis thaliana

    Anja Wille;Anja Wille;Philip Zimmermann;Philip Zimmermann;Eva Vranová;Eva Vranová;Andreas Fürholz;Andreas Fürholz

  • Bagging, Boosting and Ensemble Methods

    Peter Bühlmann

  • Variable Length Markov Chains: Methodology, Computing and Software

    Martin Mächler;Peter Bühlmann

  • Boosting with the L2-loss: regression and classification

    Peter Lukas Bühlmann;Bin Yu

Frequent Co-Authors

Jonas Peters
Jonas Peters ETH Zurich
Lars Hennig
Lars Hennig Swedish University of Agricultural Sciences
Bin Yu
Bin Yu University of California, Berkeley
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Eckart Zitzler
Eckart Zitzler Lucerne University of Applied Sciences and Arts
Cun-Hui Zhang
Cun-Hui Zhang Rutgers, The State University of New Jersey

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in blending their mathematics background with business skills, pursuing an online MBA transfer credits program can be a strategic choice. Such programs often allow the transfer of credits, helping to fast-track your degree while focusing on leadership and management alongside quantitative skills.

Another growing field closely linked to mathematics is data analytics. Earning an MS in data analytics can open doors to careers in big data, machine learning, and decision science — all of which rely heavily on strong mathematical foundations.

When considering further education, many students look for accessible options. Exploring the easiest MBA programs can help identify degrees with flexible admission criteria that accommodate diverse academic backgrounds, including those with a mathematics focus.

For those balancing work and study, options like easy online MBA programs provide flexibility and manageable coursework, making it easier to earn credentials that enhance career prospects without interrupting your current trajectory.

Best Scientists Citing Peter Bühlmann

Trending Scientists

Recently Published Articles