World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
38
Citations
12388
World Ranking
2274
National Ranking
16

Tom Britton 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 Tom Britton 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: 162 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Tom Britton 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 Tom Britton 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.

Overview

Tom Britton is affiliated with Stockholm University in Sweden and focuses primarily on research intersecting mathematics and medicine. Their work significantly involves modeling and simulation techniques applied to infectious diseases and epidemiology, particularly within the context of the COVID-19 pandemic.

Their research topics include:

  • COVID-19 epidemiological studies
  • SARS-CoV-2 and COVID-19 research
  • COVID-19 pandemic impacts
  • Vaccine coverage and hesitancy
  • Data-driven disease surveillance
  • Viral infections and outbreaks research
  • Mathematical and theoretical epidemiology and ecology models

Britton's publication record reveals a strong focus on both theoretical and applied aspects of infectious disease modeling. Recent notable papers include:

  • "A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2", 2020, Science
  • "Key questions for modelling COVID-19 exit strategies", 2020, Proceedings of the Royal Society B Biological Sciences
  • "Completing Linnaeus's inventory of the Swedish insect fauna: Only 5,000 species left?", 2020, PLoS ONE
  • "The disease-induced herd immunity level for Covid-19 is substantially lower than the classical herd immunity level", 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "Basic estimation-prediction techniques for Covid-19, and a prediction for Stockholm", 2020, bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors in their research include:

  • Frank Ball
  • Pieter Trapman
  • Mohamed El Khalifi
  • Felix Günther
  • Gianpaolo Scalia Tomba

The scientist's body of work is published predominantly in several venues that specialize in epidemiology, theoretical biology, and computational modeling, such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Journal of The Royal Society Interface
  • PLoS Computational Biology
  • Proceedings of the Royal Society B Biological Sciences

Tom Britton's contributions span multiple subfields, with the majority of publications addressing:

  • Modeling and simulation
  • Infectious diseases
  • Epidemiology
  • Economics and econometrics
  • Statistical and nonlinear physics

This combination of mathematical modeling and application to real-world epidemiological problems illustrates the interdisciplinary nature of Britton's research, particularly regarding pandemic dynamics and public health strategies. The examination of herd immunity thresholds and predictive modeling for Stockholm are examples of their applied focus on the societal implications of infectious disease control measures.

Best Publications

  • Dynamics of fat cell turnover in humans

    Kirsty L Spalding;Erik Arner;Pål O Westermark;Samuel Bernard

  • Stochastic Epidemic Models and Their Statistical Analysis

    Håkan Andersson;Tom Britton

  • Diversification of Neoaves: integration of molecular sequence data and fossils.

    Per G. P. Ericson;Cajsa Lisa Anderson;Tom Britton;Andrzej Elzanowski

  • Reliability of Bayesian posterior probabilities and bootstrap frequencies in phylogenetics.

    Per Erixon;Bodil Svennblad;T. O. M. Britton;Bengt Oxelman

  • Mathematical Tools for Understanding Infectious Disease Dynamics

    Odo Diekmann;Hans Heesterbeek;Tom Britton

  • A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2.

    Tom Britton;Frank Ball;Pieter Trapman

  • Stochastic epidemic models: a survey.

    Tom Britton

  • Generating Simple Random Graphs with Prescribed Degree Distribution

    Tom Britton;Maria Deijfen;Anders Martin-Löf

  • Estimating divergence times in large phylogenetic trees

    Tom Britton;Cajsa Lisa Anderson;David Jacquet;Samuel Lundqvist

  • Lipolysis—Not inflammation, cell death, or lipogenesis—Is involved in adipose tissue loss in cancer cachexia

    Mikael Rydén;Thorhallur Agustsson;Jurga Laurencikiene;Tom Britton

  • Inferring Speciation and Extinction Rates under Different Sampling Schemes

    Sebastian Höhna;Tanja Stadler;Fredrik Ronquist;Tom Britton

  • Statistical studies of infectious disease incidence

    Niels G. Becker;Tom Britton

  • Estimation in emerging epidemics: biases and remedies.

    Tom Britton;Gianpaolo Scalia Tomba

  • Seven challenges for metapopulation models of epidemics, including households models

    Frank Ball;Tom Britton;Thomas A. House;Valerie Isham

  • Bayesian inference for stochastic epidemics in populations with random social structure

    Tom Britton;Philip D. O'neill

  • Key questions for modelling COVID-19 exit strategies.

    Robin N. Thompson;Robin N. Thompson;Robin N. Thompson;T. Déirdre Hollingsworth;Valerie Isham;Daniel Arribas-Bel;Daniel Arribas-Bel

  • Phylogenetic dating with confidence intervals using mean path lengths.

    Tom Britton;Bengt Oxelman;Annika Vinnersten;Kåre Bremer

  • Epidemics on Random Graphs with Tunable Clustering

    Tom Britton;Maria Deijfen;Andreas N. Lagerås;Mathias Lindholm

  • Stochastic epidemics in dynamic populations: quasi-stationarity and extinction.

    Håkan Andersson;Tom Britton

  • Graphs with specified degree distributions, simple epidemics, and local vaccination strategies

    Tom Britton;Svante Janson;Anders Martin-Löf

  • Key questions for modelling COVID-19 exit strategies: COVID-19 Exit Strategies

    Robin N. Thompson;Robin N. Thompson;T. Déirdre Hollingsworth;Valerie Isham;Daniel Arribas-Bel

Frequent Co-Authors

Frank Ball
Frank Ball University of Nottingham
Etienne Pardoux
Etienne Pardoux Aix-Marseille University
Jan Albert
Jan Albert Karolinska Institute
Thomas A. House
Thomas A. House University of Manchester
Robin N Thompson
Robin N Thompson University of Oxford
Ira M. Longini
Ira M. Longini University of Florida
Peter Arner
Peter Arner Karolinska Institute
Odo Diekmann
Odo Diekmann Utrecht University
Thomas Leitner
Thomas Leitner Los Alamos National Laboratory
Christl A. Donnelly
Christl A. Donnelly University of Oxford

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