World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
61
Citations
27432
World Ranking
497
National Ranking
35

Anthony O'Hagan 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 Anthony O'Hagan 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: 143 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Anthony O'Hagan 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 Anthony O'Hagan 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: 61 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Overview

Anthony O'Hagan is affiliated with the University of Sheffield in the United Kingdom. Their research activity spans multiple domains primarily related to statistics, measurement, and clinical applications.

O'Hagan's recent scholarly contributions include papers published between 2020 and 2023 in diverse journals. Notable works are:

  • "Response (minimum clinically relevant change) in ASD symptoms after an intervention according to CARS-2: consensus from an expert elicitation procedure," 2021, European Child & Adolescent Psychiatry
  • "Meaningful expression of uncertainty in measurement," 2022, Accreditation and Quality Assurance
  • "Eliciting judgements about dependent quantities of interest: The SHeffield ELicitation Framework extension and copula methods illustrated using an asthma case study," 2022, Pharmaceutical Statistics
  • "Predictively consistent prior effective sample sizes," 2020, Biometrics
  • "Simple informative prior distributions for Type A uncertainty evaluation in metrology," 2023, Metrologia

Frequent coauthors alongside O'Hagan include Lucie Jurek, Matias Baltazar, Sheffali Gulati, Neda Novaković, and María Núñez. These collaborations illustrate interdisciplinary engagement and ongoing research partnerships.

Key venues where O'Hagan's work appears often represent biomedical, life sciences, and statistical fields. These include:

  • The biomedical & life sciences collection
  • European Child & Adolescent Psychiatry
  • Biometrics
  • Accreditation and Quality Assurance
  • Pharmaceutical Statistics

The main fields of study associated with O'Hagan's publications encompass:

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Pulmonary and Respiratory Medicine
  • Cognitive Neuroscience
  • Cardiology and Cardiovascular Medicine

The research topics they explore cover several specialized areas such as:

  • Statistical Methods in Clinical Trials
  • Scientific Measurement and Uncertainty Evaluation
  • Advanced Causal Inference Techniques
  • Autism Spectrum Disorder Research
  • Cardiac pacing and defibrillation studies
  • Advanced Measurement and Metrology Techniques
  • Sensor Technology and Measurement Systems

Best Publications

  • Bayesian Calibration of computer models

    Marc C. Kennedy;Anthony O'Hagan

  • Uncertain Judgements: Eliciting Experts' Probabilities

    Anthony O'Hagan;Caitlin E. Buck;Alireza Daneshkhah;J. Richard Eiser

  • Predicting the output from a complex computer code when fast approximations are available

    MC Kennedy;A O'Hagan

  • Probabilistic sensitivity analysis of complex models: a Bayesian approach

    Jeremy E. Oakley;Anthony O'Hagan

  • Fractional Bayes factors for model comparison

    Anthony O'Hagan

  • Statistical Methods for Eliciting Probability Distributions

    Paul H Garthwaite;Joseph B Kadane;Anthony O'Hagan

  • Curve Fitting and Optimal Design for Prediction

    A. O'Hagan

  • Bayesian analysis of computer code outputs: A tutorial

    Anthony O'Hagan

  • Review of statistical methods for analysing healthcare resources and costs.

    Borislava Mihaylova;Andrew Briggs;Anthony O'Hagan;Simon G. Thompson

  • An overview of robust Bayesian analysis

    James O. Berger;Elías Moreno;Luis Raul Pericchi;M. Jesús Bayarri

  • Bayesian emulation of complex multi-output and dynamic computer models

    Stefano Conti;Anthony O’Hagan

  • Diagnostics for Gaussian Process Emulators

    Leonardo Soares Bastos;Anthony O'Hagan

  • Robust meta-analytic-predictive priors in clinical trials with historical control information

    Heinz Schmidli;Sandro Gsteiger;Satrajit Roychoudhury;Anthony O'Hagan

  • Bayesian inference for the uncertainty distribution of computer model outputs

    Jeremy Oakley;Anthony O'Hagan

  • Bayes estimation subject to uncertainty about parameter constraints

    A. O'hagan;Tom Leonard

  • Eliciting expert beliefs in substantial practical applications

    A. O'Hagan

  • Model-based geostatistics. Discussion. Authors' reply

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

  • Bayes–Hermite quadrature

    A. O'Hagan

  • On Bayesian analysis of mixtures with an unknown number of components. Discussion. Author's reply

    S. Richardson;P. J. Green;C. P. Robert;M. Aitkin

  • Bayesian inference for non-stationary spatial covariance structure via spatial deformations

    Alexandra M. Schmidt;Anthony O'Hagan

Frequent Co-Authors

Paul H. Garthwaite
Paul H. Garthwaite The Open University
J. Richard Eiser
J. Richard Eiser University of Sheffield
John Brazier
John Brazier University of Sheffield
Joseph B. Kadane
Joseph B. Kadane Carnegie Mellon University
Adrian E. Raftery
Adrian E. Raftery University of Washington
Karl Claxton
Karl Claxton University of York
Keith R. Abrams
Keith R. Abrams University of Leicester
Adrian F. M. Smith
Adrian F. M. Smith Imperial College London
Jane Falkingham
Jane Falkingham University of Southampton
Paul Tappenden
Paul Tappenden University of Sheffield

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