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D-Index & Metrics

Mathematics

D-Index
70
Citations
37622
World Ranking
266
National Ranking
15

Sylvia Richardson 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 Sylvia Richardson 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: 237 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Sylvia Richardson 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 Sylvia Richardson 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: 70 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Sylvia Richardson is affiliated with the University of Cambridge in the United Kingdom. Their research primarily spans the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with significant focus on several interconnected subfields including Molecular Biology, Artificial Intelligence, Epidemiology, Statistics and Probability, and Infectious Diseases.

Their areas of research cover a broad range of topics such as gene expression and cancer classification, COVID-19 epidemiological studies, bioinformatics and genomic networks, chronic disease management strategies, Bayesian methods and mixture models, health disparities and outcomes, and SARS-CoV-2 and COVID-19 research.

Notable recent papers authored or co-authored by Sylvia Richardson include:

  • Longitudinal analysis reveals that delayed bystander CD8+ T cell activation and early immune pathology distinguish severe COVID-19 from mild disease, 2021, Immunity
  • The RNA landscape of the human placenta in health and disease, 2021, Nature Communications
  • A genome-wide association study of outcome from traumatic brain injury, 2022, EBioMedicine
  • Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study, 2022, The Lancet Regional Health - Europe
  • Whole-genome sequencing of patients with rare diseases in a national health system, 2021, Yearbook of pediatric endocrinology

Collaborative work features frequent co-authors such as Hélène Ruffieux, Peter J. Diggle, Chris Holmes, Radka Jersakova, and George Nicholson. These partnerships illustrate active engagement with specialists in related fields.

Sylvia Richardson has published extensively in venues including arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), Journal of the Royal Statistical Society Series A (Statistics in Society), and Harvard Data Science Review.

Best Publications

  • Markov Chain Monte Carlo in Practice

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion)

    Sylvia. Richardson;Peter J. Green

  • On Bayesian Analysis of Mixtures with an Unknown Number of Components

    Sylvia Richardson;Peter J. Green

  • Modifying the t test for assessing the correlation between two spatial processes

    Pierre Dutilleul;Peter Clifford;Sylvia Richardson;Denis Hemon

  • Introducing Markov chain Monte Carlo

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Assessing the significance of the correlation between two spatial processes.

    Peter Clifford;Sylvia Richardson;Denis Hemon

  • A comparison of Bayesian spatial models for disease mapping.

    Nicky Best;Sylvia Richardson;Andrew Thomson

  • Interpreting Posterior Relative Risk Estimates in Disease-Mapping Studies

    Sylvia Richardson;Andrew Thomson;Nicky Best;Paul Elliott

  • Inference and monitoring convergence

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Hypothesis testing and model selection

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Hidden Markov Models and Disease Mapping

    Peter J Green;Sylvia Richardson

  • Markov chain concepts related to sampling algorithms

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Model-based geostatistics. Discussion. Authors' reply

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

  • Modelling heterogeneity with and without the Dirichlet process

    Peter J. Green;Sylvia Richardson

  • BASiCS: Bayesian Analysis of Single-Cell Sequencing Data

    Catalina A. Vallejos;John C. Marioni;Sylvia Richardson

  • Aircraft noise and cardiovascular disease near Heathrow airport in London: small area study

    Anna L Hansell;Anna L Hansell;Marta Blangiardo;Lea Fortunato;Sarah Floud

  • Variable selection and Bayesian model averaging in case-control studies.

    Valerie Viallefont;Adrian E. Raftery;Sylvia Richardson

  • Haplotype and isoform specific expression estimation using multi-mapping RNA-seq reads

    Ernest Turro;Shu-Yi Su;Ângela Gonçalves;Lachlan J M Coin

  • Bayesian mapping of disease

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Evolutionary Stochastic Search for Bayesian model exploration

    Leonardo Bottolo;Sylvia Richardson

  • Discussion on the paper by Handcock, Raftery and Tantrum

    Tom A. B. Snijders;Tony Robinson;Anthony C. Atkinson;Marco Riani

Frequent Co-Authors

Nicky Best
Nicky Best GlaxoSmithKline (United Kingdom)
Walter R. Gilks
Walter R. Gilks University of Leeds
David Spiegelhalter
David Spiegelhalter UK Statistics Authority
Paul Elliott
Paul Elliott Imperial College London
Willem H. Ouwehand
Willem H. Ouwehand University of Cambridge
Michael Laffan
Michael Laffan Imperial College London
Annlia Paganini-Hill
Annlia Paganini-Hill University of California, Irvine
Stephen W. Duffy
Stephen W. Duffy Queen Mary University of London
Janet L. Stanford
Janet L. Stanford Fred Hutchinson Cancer Research Center
Silvia Franceschi
Silvia Franceschi Centro di Riferimento Oncologico

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