World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
38
Citations
56167
World Ranking
2258
National Ranking
949

Peter McCullagh 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 McCullagh 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: 129 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Peter McCullagh 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 McCullagh 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: 38 D-Index — 37th percentile

37% 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

  • 2002 - Fellow of the American Academy of Arts and Sciences
  • 1994 - Fellow of the American Statistical Association (ASA)
  • 1992 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Peter McCullagh is affiliated with the University of Chicago in the United States. Their research spans multiple fields, including Mathematics, Computer Science, and Environmental Science. Within these disciplines, they have focused extensively on subfields such as Statistics and Probability, Artificial Intelligence, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, and Ecology.

In terms of research topics, their work covers areas such as Statistical Methods and Inference, Bayesian Methods and Mixture Models, Statistical Methods and Bayesian Inference, Advanced Statistical Methods and Models, Ecology and Vegetation Dynamics Studies, Plant and Animal Studies, and Statistical Methods in Clinical Trials.

Peter McCullagh has contributed to several academic publications and has had papers published in a variety of scientific venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Bernoulli
  • Biometrika
  • Canadian Journal of Statistics
  • Harvard Data Science Review

Their recent papers include:

  • "Some properties of a Cauchy family on the sphere derived from the Möbius transformations", 2020, Bernoulli
  • "Fisher's measure of variability in repeated samples", 2023, Bernoulli
  • "An anomaly arising in the analysis of processes with more than one source of variability", 2023, Biometrika
  • "A likelihood analysis of quantile-matching transformations", 2020, Biometrika
  • "A tale of two variances", 2023, Canadian Journal of Statistics

They frequently collaborate with other researchers, with common co-authors including Daniel Xiang, Micol Federica Tresoldi, Heather Battey, Shogo Kato, and Poly H. da Silva.

Peter McCullagh has also published a book titled Ten Projects in Applied Statistics in 2022, under Springer Science+Business Media.

The scientist has been recognized with various honors, including:

  • Fellow of the American Academy of Arts and Sciences, 2002
  • Fellow of the American Statistical Association (ASA), 1994
  • Fellow of the American Association for the Advancement of Science (AAAS), 1992

Best Publications

  • Generalized Linear Models

    Peter McCullagh;John Ashworth Nelder

  • Generalized linear models. 2nd ed.

    Peter McCullagh;John A. Nelder

  • Regression Models for Ordinal Data

    Peter McCullagh

  • Generalized Linear Models

    John H. Schuenemeyer;P. McCullagh;J. A. Nelder

  • Tensor Methods in Statistics

    Peter McCullagh

  • Quasi-Likelihood Functions

    Peter McCullagh

  • Bias Correction in Generalized Linear Models

    Gauss M. Cordeiro;Peter McCullagh

  • Multivariate Logistic Models

    G. F. V. Glonek;P. McCullagh

  • The GLIM System, Release 3: Generalized linear interactive modelling

    Peter McCullagh;R. J. Baker;J. A. Nelder

  • Laplace Approximation of High Dimensional Integrals

    Zhenming Shun;Peter McCullagh

  • What is a statistical model

    Peter McCullagh

  • A Simple Method for the Adjustment of Profile Likelihoods

    Peter McCullagh;Robert Tibshirani

  • A class of parametric models for the analysis of square contingency tables with ordered categories

    P. Mccullagh

  • Some aspects of analysis of covariance.

    Cox Dr;McCullagh P

  • An outline of generalized linear models

    P. McCullagh;J. A. Nelder

  • How many clusters

    Peter McCullagh;Jie Yang

  • The Conditional Distribution of Goodness-of-Fit Statistics for Discrete Data

    Peter McCullagh

  • A theory of statistical models for Monte Carlo integration

    A. Kong;P. McCullagh;X.-L. Meng;D. Nicolae

  • Möbius transformation and Cauchy parameter estimation

    Peter McCullagh

  • Case studies in binary dispersion.

    Kung-Yee Liang;Peter McCullagh

  • Analysis of Ordinal Categorical Data

    Peter McCullagh

  • Discussion of "Analysis of variance--why it is more important than ever" by A. Gelman

    Peter McCullagh

Frequent Co-Authors

John A. Nelder
John A. Nelder Imperial College London
Jesper Møller
Jesper Møller Aalborg University
Xiao-Li Meng
Xiao-Li Meng Harvard University
Nicholas G. Polson
Nicholas G. Polson University of Chicago
Augustine Kong
Augustine Kong University of Oxford
Dan L. Nicolae
Dan L. Nicolae University of Chicago
Arnaud Doucet
Arnaud Doucet University of Oxford
Robert Tibshirani
Robert Tibshirani Stanford University
Alexander Gammerman
Alexander Gammerman Royal Holloway University of London
Stephen E. Fienberg
Stephen E. Fienberg Carnegie Mellon University

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