World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
48
Citations
14512
World Ranking
1182
National Ranking
91

Engineering and Technology

D-Index
46
Citations
12930
World Ranking
5045
National Ranking
331

Paul Fearnhead 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 Paul Fearnhead 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: 164 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Paul Fearnhead 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 Paul Fearnhead 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: 48 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Paul Fearnhead is affiliated with Lancaster University in the United Kingdom. Their research spans the intersecting fields of Mathematics and Computer Science with a primary focus on Statistics and Probability as well as Artificial Intelligence. The scientist's work addresses various subfields including Statistics, Probability and Uncertainty, Signal Processing, and Molecular Biology.

The core topics in their research involve Statistical Methods and Inference, Markov Chains and Monte Carlo Methods, Bayesian Methods and Mixture Models, Anomaly Detection Techniques and Applications, Advanced Statistical Process Monitoring, Time Series Analysis and Forecasting, and Advanced Statistical Methods and Models.

Fearnhead has contributed to multiple academic venues with frequent publications in the following:

  • arXiv (Cornell University)
  • Statistics and Computing
  • Journal of the American Statistical Association
  • Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • Journal of Statistical Software

The scientist has collaborated regularly with several co-authors, including:

  • Idris A. Eckley
  • Gaetano Romano
  • Guillem Rigaill
  • Kes Ward
  • Lorenzo Rimella

Selected recent papers authored or co-authored by Paul Fearnhead include:

  • Relating and comparing methods for detecting changes in mean, 2020, Stat
  • Stochastic Gradient Markov Chain Monte Carlo, 2020, Journal of the American Statistical Association
  • Testing for a Change in Mean after Changepoint Detection, 2022, Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise, 2020, arXiv (Cornell University)
  • Innovative and Additive Outlier Robust Kalman Filtering With a Robust Particle Filter, 2021, IEEE Transactions on Signal Processing

In addition to articles, Paul Fearnhead has contributed to book publications, including a forthcoming title:

  • Scalable Monte Carlo for Bayesian Learning, to be published by Cambridge University Press in 2025

Best Publications

  • Optimal Detection of Changepoints With a Linear Computational Cost

    Rebecca Killick;Paul Fearnhead;Idris Eckley

  • Improved particle filter for nonlinear problems

    J. Carpenter;P. Clifford;P. Fearnhead

  • Genome-wide association study of prostate cancer identifies a second risk locus at 8q24

    Meredith Yeager;Nick Orr;Richard B Hayes;Kevin B Jacobs

  • Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation

    Paul Fearnhead;Dennis Prangle

  • Exact and efficient Bayesian inference for multiple changepoint problems

    Paul Fearnhead

  • Exact and computationally efficient likelihood-based estimation for discretely observed diffusion processes (with discussion)

    Alexandros Beskos;Omiros Papaspiliopoulos;Gareth O. Roberts;Paul Fearnhead

  • Estimating recombination rates from population genetic data.

    Paul Fearnhead;Peter Donnelly

  • On-line inference for multiple changepoint problems

    Paul Fearnhead;Zhen Liu

  • An improved particle filter for non-linear problems

    J Carpenter;Peter Clifford;Paul Fearnhead

  • The Zig-Zag process and super-efficient sampling for Bayesian analysis of big data

    Joris Bierkens;Paul Fearnhead;Gareth O. Roberts

  • On-Line Inference for Hidden Markov Models via Particle Filters.

    Paul Fearnhead;Peter Clifford

  • Markov chain Monte Carlo, Sufficient Statistics, and Particle Filters

    Paul Fearnhead

  • On optimal multiple changepoint algorithms for large data

    Robert Maidstone;Toby Hocking;Guillem Rigaill;Paul Fearnhead

  • Particle filters for mixture models with an unknown number of components

    Paul Fearnhead

  • Particle filters for partially observed diffusions

    Paul Fearnhead;Omiros Papaspiliopoulos;Gareth O. Roberts

  • A sequential smoothing algorithm with linear computational cost.

    Paul Fearnhead;David Wyncoll;Jonathan Tawn

  • Analysis of changepoint models.

    Idris A. Eckley;Paul Fearnhead;Rebecca Killick

  • Spatial epidemiology and natural population structure of Campylobacter jejuni colonizing a farmland ecosystem.

    Nigel French;Mishele Barrigas;Patrick Brown;Paola Ribiero

  • Changepoint Detection in the Presence of Outliers

    Paul Fearnhead;Guillem Rigaill

  • Exact Bayesian curve fitting and signal segmentation

    P. Fearnhead

  • Approximate likelihood methods for estimating local recombination rates

    Paul Fearnhead;Peter Donnelly

Frequent Co-Authors

Gareth O. Roberts
Gareth O. Roberts University of Warwick
Nigel P. French
Nigel P. French Massey University
Emily B. Fox
Emily B. Fox Stanford University
Lyudmila Mihaylova
Lyudmila Mihaylova University of Sheffield
Peter Donnelly
Peter Donnelly University of Oxford
Guillaume Bourque
Guillaume Bourque McGill University
Andrew J. Fox
Andrew J. Fox Manchester Royal Infirmary
Andrew S. Fox
Andrew S. Fox University of California, Davis
Daniela Witten
Daniela Witten University of Washington
Daniel J. Wilson
Daniel J. Wilson University of Oxford

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