World's Best Scientists 2026 revealed!
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Mathematics
USA
2026

D-Index & Metrics

Computer Science

D-Index
80
Citations
32653
World Ranking
1063
National Ranking
569

Mathematics

D-Index
88
Citations
36488
World Ranking
86
National Ranking
51

Larry Wasserman 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 Larry Wasserman 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: 82 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: 342 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Larry Wasserman 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 Larry Wasserman 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: 137 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: 88 D-Index — 98th percentile

98% 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 United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2016 - Member of the National Academy of Sciences
  • 2010 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1999 - COPSS Presidents' Award
  • 1996 - Fellow of the American Statistical Association (ASA)

Overview

Larry Wasserman is affiliated with Carnegie Mellon University in the United States. Their primary field of study is mathematics, with a particular focus on statistics and probability. The scope of their work spans several subfields including statistics and probability, artificial intelligence, modeling and simulation, epidemiology, and uncertainty in statistics and probability.

Wasserman's research addresses a wide range of topics within statistical methods and inference. Key topics include:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Advanced Causal Inference Techniques
  • Statistical Methods in Clinical Trials
  • Advanced Statistical Methods and Models
  • COVID-19 Epidemiological Studies
  • Bayesian Methods and Mixture Models

They have published extensively in several notable academic venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • The Annals of Statistics
  • Journal of the American Statistical Association
  • Electronic Journal of Statistics
  • Biometrika

Recent papers by Wasserman include:

  • The huge Package for High-dimensional Undirected Graph Estimation in R, 2020, PubMed
  • Robust multivariate nonparametric tests via projection averaging, 2020, The Annals of Statistics
  • An open repository of real-time COVID-19 indicators, 2021, Proceedings of the National Academy of Sciences
  • Classification accuracy as a proxy for two-sample testing, 2021, The Annals of Statistics
  • Can auxiliary indicators improve COVID-19 forecasting and hotspot prediction?, 2021, Proceedings of the National Academy of Sciences

Wasserman has collaborated frequently with several co-authors, including:

  • Sivaraman Balakrishnan
  • Aaditya Ramdas
  • Valérie Ventura
  • Edward H. Kennedy
  • Ilmun Kim

The scientist has been recognized with multiple awards throughout their career. These include:

  • Member of the National Academy of Sciences, 2016
  • Fellow of the American Association for the Advancement of Science (AAAS), 2010
  • COPSS Presidents' Award, 1999
  • Fellow of the American Statistical Association (ASA), 1996

Best Publications

  • Computing Bayes Factors by Combining Simulation and Asymptotic Approximations

    Thomas J. Diciccio;Robert E. Kass;Adrian Raftery;Larry Wasserman

  • All of Statistics: A Concise Course in Statistical Inference

    Larry Wasserman

  • The Selection of Prior Distributions by Formal Rules

    Robert E. Kass;Larry Wasserman

  • All of Nonparametric Statistics

    Larry Wasserman

  • A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion

    Robert E. Kass;Larry Wasserman

  • Bayesian model selection and model averaging

    Larry Wasserman

  • The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs

    Han Liu;John Lafferty;Larry Wasserman

  • Sparse Additive Models

    Pradeep Ravikumar;John Lafferty;Han Liu;Larry Wasserman

  • High-dimensional variable selection

    Larry Wasserman;Kathryn Roeder

  • An overview of robust Bayesian analysis

    James O. Berger;Elías Moreno;Luis Raul Pericchi;M. Jesús Bayarri

  • Distribution-Free Predictive Inference for Regression

    Jing Lei;Max G'Sell;Alessandro Rinaldo;Ryan J. Tibshirani

  • Operating characteristics and extensions of the false discovery rate procedure

    Christopher Genovese;Larry Wasserman

  • Practical Bayesian Density Estimation Using Mixtures of Normals

    Kathryn Roeder;Larry Wasserman

  • Computing Bayes Factors Using a Generalization of the Savage-Dickey Density Ratio

    Isabella Verdinelli;Larry Wasserman

  • Genomic control, a new approach to genetic-based association studies.

    B Devlin;Kathryn Roeder;Larry Wasserman

  • High Dimensional Semiparametric Gaussian Copula Graphical Models.

    Han Liu;Fang Han;Ming Yuan;John D. Lafferty

  • All of Statistics

    Larry Wasserman

  • Topological Data Analysis

    Larry Wasserman

  • A stochastic process approach to false discovery control

    Christopher Genovese;Larry Wasserman

  • The huge package for high-dimensional undirected graph estimation in R

    Tuo Zhao;Han Liu;Kathryn Roeder;John Lafferty

  • The consistency of posterior distributions in nonparametric problems

    Andrew Barron;Mark J. Schervish;Larry Wasserman

  • On Bayesian analysis of mixtures with an unknown number of components. Discussion. Author's reply

    S. Richardson;P. J. Green;C. P. Robert;M. Aitkin

Frequent Co-Authors

Alessandro Rinaldo
Alessandro Rinaldo The University of Texas at Austin
John Lafferty
John Lafferty Yale University
Aarti Singh
Aarti Singh Carnegie Mellon University
Robert C. Nichol
Robert C. Nichol University of Surrey
Han Liu
Han Liu Northwestern University
Kathryn Roeder
Kathryn Roeder Carnegie Mellon University
Frédéric Chazal
Frédéric Chazal French Institute for Research in Computer Science and Automation - INRIA
Barnabás Póczos
Barnabás Póczos Carnegie Mellon University
Andrew W. Moore
Andrew W. Moore Carnegie Mellon University
Jeff Schneider
Jeff Schneider Carnegie Mellon University

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