World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
54
Citations
13083
World Ranking
829
National Ranking
405

Jon Wakefield 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 Wakefield 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: 194 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Jon Wakefield 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 Wakefield 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: 54 D-Index — 78th percentile

78% 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

  • 2007 - Fellow of the American Statistical Association (ASA)

Overview

Jon Wakefield is affiliated with the University of Washington in the United States. Their research primarily focuses on medicine, with a significant concentration in epidemiology, pediatrics, perinatology and child health, management science and operations research, modeling and simulation, and demography.

The scientist's work addresses a variety of topics, including demographic modeling and climate adaptation, COVID-19 epidemiological studies, global maternal and child health, insurance, mortality, demography, risk management, data-driven disease surveillance, spatial and panel data analysis, and global health care issues.

Wakefield has published extensively in several venues, with frequent contributions appearing in arXiv (Cornell University), The Annals of Applied Statistics, Biometrics, The Lancet, and Statistics in Medicine. Their recent notable papers include:

  • The WHO estimates of excess mortality associated with the COVID-19 pandemic, 2022, Nature
  • Global, regional, and national estimates and trends in stillbirths from 2000 to 2019: a systematic assessment, 2021, The Lancet
  • Estimating global and country-specific excess mortality during the Covid-19 pandemic, 2023, The Annals of Applied Statistics
  • Naomi: a new modelling tool for estimating HIV epidemic indicators at the district level in sub-Saharan Africa, 2021, Journal of the International AIDS Society
  • What About Equity? Neighborhood Deprivation and Cannabis Retailers in Portland, Oregon, 2020, Cannabis

Frequent collaborators include Serge Aleshin-Guendel, Danzhen You, Hannah Blencowe, Leontine Alkema, and Tracy Qi Dong.

Jon Wakefield was recognized as a Fellow of the American Statistical Association (ASA) in 2007.

Best Publications

  • The WHO estimates of excess mortality associated with the COVID-19 pandemic

    Unknown

  • Spatial epidemiology: methods and applications.

    P. Elliot;J. C. Wakefield;N. G. Best;D. J. Briggs

  • A Bayesian Measure of the Probability of False Discovery in Genetic Epidemiology Studies

    Jon Wakefield

  • Gibbs sampling for Bayesian non‐conjugate and hierarchical models by using auxiliary variables

    Paul Damien;Jon Wakefield;Stephen G Walker

  • Bayes factors for genome‐wide association studies: comparison with P‐values

    Jon Wakefield

  • Disease mapping and spatial regression with count data.

    Jon Wakefield

  • Bayesian Analysis of Linear and Non-Linear Population Models by Using the Gibbs Sampler

    J. C. Wakefield;A. F. M. Smith;A. Racine-Poon;A. E. Gelfand

  • Model-based geostatistics. Discussion. Authors' reply

    P. J. Diggle;J. A. Tawn;R. A. Moyeed;R. Webster

  • Bayesian inference for generalized linear mixed models

    Youyi Fong;Håvard Rue;Jon Wakefield

  • Ecologic Studies Revisited

    Jonathan Wakefield

  • Bayesian approaches to disease mapping

    J. C. Wakefield;N. G. Best;L. Waller

  • Bayesian and Frequentist Regression Methods

    Jon Wakefield

  • Socio-economic status and oesophageal cancer: results from a population-based case–control study in a high-risk area

    Farhad Islami;Farin Kamangar;Dariush Nasrollahzadeh;Dariush Nasrollahzadeh;Karim Aghcheli

  • Ecological inference for 2 × 2 tables

    Jon Wakefield

  • A powerful and flexible statistical framework for testing hypotheses of allele-specific gene expression from RNA-seq data

    Daniel A. Skelly;Marnie Johansson;Jennifer Madeoy;Jon Wakefield

  • The Bayesian Analysis of Population Pharmacokinetic Models

    Jon Wakefield

  • Bayesian analysis of population PK/PD models: general concepts and software.

    David J. Lunn;Nicky Best;Andrew Thomas;Jon Wakefield

  • Modelling daily multivariate pollutant data at multiple sites

    Gavin Shaddick;Jon Wakefield

  • Efficient generation of random variates via the ratio-of-uniforms method

    J. C. Wakefield;A. E. Gelfand;A. F. M. Smith

  • Statistical issues in the analysis of disease mapping data.

    C. Pascutto;J.C. Wakefield;N.G. Best;S. Richardson

  • Model-based geostatistics - Discussion

    Roberta Webster;Andrew Lawson;C Glasbey;G Horgan

Frequent Co-Authors

Paul Elliott
Paul Elliott Imperial College London
Nicky Best
Nicky Best GlaxoSmithKline (United Kingdom)
Lars Jarup
Lars Jarup Imperial College London
Margaret Rosenfeld
Margaret Rosenfeld University of Washington
Paolo Boffetta
Paolo Boffetta Stony Brook Medicine
Sylvia Richardson
Sylvia Richardson University of Cambridge
Joshua M. Akey
Joshua M. Akey Princeton University
Reza Malekzadeh
Reza Malekzadeh Tehran University of Medical Sciences
Paul Brennan
Paul Brennan International Agency For Research On Cancer
Ira M. Longini
Ira M. Longini University of Florida

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