World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
58
Citations
33951
World Ranking
608
National Ranking
307

Jon A. Wellner 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 Jon A. Wellner 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: 242 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Jon A. Wellner 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 Jon A. Wellner 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: 58 D-Index — 83rd percentile

83% 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

  • 2006 - Fellow of the American Statistical Association (ASA)
  • 1994 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1987 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Jon A. Wellner is affiliated with the University of Washington in the United States and has contributed extensively to the field of mathematics. Their research primarily focuses on areas within statistics and probability, applied mathematics, and artificial intelligence, alongside topics in management science, operations research, and finance.

Their work spans several main topics including statistical methods and inference, Bayesian methods and mixture models, statistical methods and Bayesian inference, point processes and geometric inequalities, advanced harmonic analysis research, random matrices and applications, as well as Markov chains and Monte Carlo methods.

Wellner has published in multiple academic venues. Frequent publication venues include:

  • The Annals of Statistics
  • arXiv (Cornell University)
  • Apollo (University of Cambridge)
  • Electronic Journal of Probability
  • Statistics & Probability Letters

Recent papers encompass:

  • Complex sampling designs: Uniform limit theorems and applications (2021, The Annals of Statistics)
  • Bounding distributional errors via density ratios (2020, Apollo (University of Cambridge))
  • Hardy's inequality and its descendants: a probability approach (2021, Electronic Journal of Probability)
  • Stein 1956: Efficient nonparametric testing and estimation (2021, The Annals of Statistics)
  • The density ratio of Poisson binomial versus Poisson distributions (2020, Statistics & Probability Letters)

Frequent collaborators in Wellner's work include Aad van der Vaart, Lutz Dümbgen, Chris A. J. Klaassen, Nilanjana Laha, and Qiyang Han.

Wellner has contributed to scholarly literature beyond articles, including book publications. Notably, a book titled Weak Convergence and Empirical Processes was published by Springer Science+Business Media in 2023, which has accumulated more than 100 citations.

Throughout their career, Wellner has been recognized by various professional societies. They were named a Fellow of the American Association for the Advancement of Science (AAAS) in 1994, a Fellow of the John Simon Guggenheim Memorial Foundation in 1987, and a Fellow of the American Statistical Association (ASA) in 2006.

Best Publications

  • Weak Convergence and Empirical Processes: With Applications to Statistics

    Jon Wellner

  • Weak Convergence and Empirical Processes

    Thomas Mikosch;Aad W. Van der Vaart;Jon A. Wellner

  • Empirical processes with applications to statistics

    Galen R. Shorack;Jon A. Wellner

  • Efficient and Adaptive Estimation for Semiparametric Models.

    K. A. Do;P. J. Bickel;C. A. J. Klaassen;Y. Ritov

  • Information Bounds and Nonparametric Maximum Likelihood Estimation

    Piet Groeneboom;Jon A. Wellner

  • Information and Asymptotic Efficiency in Parametric-Nonparametric Models

    Janet M. Begun;W. J. Hall;Wei-Min Huang;Jon A. Wellner

  • Non- and semi-parametric maximum likelihood estimators and the von Mises method. II

    R. D. Gill;J. A. Wellner

  • Confidence bands for a survival curve from censored data

    W. J. Hall;Jon A. Wellner

  • Estimation of a convex function: characterizations and asymptotic theory.

    Piet Groeneboom;Geurt Jongbloed;Jon A. Wellner

  • Large Sample Theory of Empirical Distributions in Biased Sampling Models

    Richard D. Gill;Yehuda Vardi;Jon A. Wellner

  • Interval Censored Survival Data: A Review of Recent Progress

    Jian Huang;Jon A. Wellner

  • Exchangeably Weighted Bootstraps of the General Empirical Process

    Jens Praestgaard;Jon A. Wellner

  • A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator from Censored Data

    Jon A. Wellner;Yihui Zhan

  • High Dimensional Probability Ii

    Evarist Giné;David M. Mason;Jon A. Wellner

  • Log-Concavity and Strong Log-Concavity: a review.

    Adrien Saumard;Jon A. Wellner

  • Efficient estimation in the bivariate normal copula model: normal margins are least favourable

    Chris A.J. Klaassen;Jon A. Wellner

  • Two estimators of the mean of a counting process with panel count data

    Jon A. Wellner;Ying Zhang

  • Weighted Likelihood for Semiparametric Models and Two-phase Stratified Samples, with Application to Cox Regression.

    Norman E. Breslow;Jon A. Wellner

  • Limit theorems for the ratio of the empirical distribution function to the true distribution function

    Jon A. Wellner

  • TWO LIKELIHOOD-BASED SEMIPARAMETRIC ESTIMATION METHODS FOR PANEL COUNT DATA WITH COVARIATES

    Jon A. Wellner;Ying Zhang

  • Large sample theory of empirical distributions in biased sampling models

    Richard Gill;J.A. Wellner

Frequent Co-Authors

Aad van der Vaart
Aad van der Vaart Delft University of Technology
Piet Groeneboom
Piet Groeneboom Delft University of Technology
Jian Huang
Jian Huang University of Iowa
Norman E. Breslow
Norman E. Breslow University of Washington
Richard D. Gill
Richard D. Gill Leiden University
Ya'acov Ritov
Ya'acov Ritov University of Michigan–Ann Arbor
Peter J. Bickel
Peter J. Bickel University of California, Berkeley
David M. Mason
David M. Mason University of Delaware
Vladimir Koltchinskii
Vladimir Koltchinskii Georgia Institute of Technology

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