World's Best Scientists 2026 revealed!
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Mathematics
UK
2026

D-Index & Metrics

Mathematics

D-Index
87
Citations
67691
World Ranking
92
National Ranking
5

Engineering and Technology

D-Index
88
Citations
67945
World Ranking
306
National Ranking
23

Arnaud Doucet 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 Arnaud Doucet 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: 82 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: 385 publications — 93rd percentile

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

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

Arnaud Doucet 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 Arnaud Doucet 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: 137 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: 87 D-Index — 97th percentile

97% 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

  • 2026 - Research.com Mathematics in United Kingdom Leader Award
  • 2025 - Research.com Mathematics in United Kingdom Leader Award

Overview

Arnaud Doucet is affiliated with the University of Oxford in the United Kingdom. Their research spans multiple domains within computer science and mathematics, focusing notably on artificial intelligence and statistical methodology.

The scientist has published extensively with a primary emphasis on topics including Markov Chains and Monte Carlo Methods, Gaussian Processes and Bayesian Inference, and Generative Adversarial Networks and Image Synthesis. Other notable areas of work include Bayesian Methods and Mixture Models, Statistical Methods and Inference, Model Reduction and Neural Networks, and Neural Networks and Applications.

Frequent publication venues for Arnaud Doucet include:

  • arXiv (Cornell University)
  • Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • The Annals of Applied Probability
  • SIAM Journal on Control and Optimization
  • Biometrika

Among the more recent publications are:

  • SE(3) diffusion model with application to protein backbone generation, 2023, arXiv (Cornell University)
  • Non-Reversible Parallel Tempering: A Scalable Highly Parallel MCMC Scheme, 2021, Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling, 2021, arXiv (Cornell University)
  • Randomized Hamiltonian Monte Carlo as scaling limit of the bouncy particle sampler and dimension-free convergence rates, 2021, The Annals of Applied Probability
  • COIN++: Neural Compression Across Modalities, 2022, arXiv (Cornell University)

Arnaud Doucet collaborates frequently with several coauthors, including:

  • Valentin De Bortoli
  • George Deligiannidis
  • Yee Whye Teh
  • Arthur Gretton
  • Joe Benton

The scientist's body of work covers a wide range of subfields within computer science and mathematics, particularly:

  • Artificial Intelligence
  • Statistics and Probability
  • Computer Vision and Pattern Recognition
  • Statistical and Nonlinear Physics
  • Management Science and Operations Research

Arnaud Doucet has contributed over 130 publications in computer science and nearly 60 in mathematics, marking a substantial academic involvement in their fields of study.

Best Publications

  • Sequential Monte Carlo methods in practice

    Arnaud Doucet;Nando De Freitas;Neil Gordon;Adrian Smith

  • An Introduction to Sequential Monte Carlo Methods

    Arnaud Doucet;Nando de Freitas;Neil J. Gordon

  • On sequential Monte Carlo sampling methods for Bayesian filtering

    Arnaud Doucet;Simon Godsill;Christophe Andrieu

  • An introduction to MCMC for machine learning

    Christophe Andrieu;Nando De Freitas;Arnaud Doucet;Michael I. Jordan

  • Particle Markov chain Monte Carlo methods

    Christophe Andrieu;Arnaud Doucet;Roman Holenstein

  • The Unscented Particle Filter

    Rudolph van der Merwe;Arnaud Doucet;Nando de Freitas;Eric A. Wan

  • A Tutorial on Particle Filtering and Smoothing: Fifteen years later

    Arnaud Doucet;Adam M. Johansen

  • Sequential Monte Carlo samplers

    Pierre Del Moral;Arnaud Doucet;Ajay Jasra

  • Editors: Sequential Monte Carlo Methods in Practice

    Arnaud Doucet;Joao F. G. De Freitas;Neil J. Gordon

  • Sequential Monte Carlo methods for multitarget filtering with random finite sets

    B.-N. Vo;S. Singh;A. Doucet

  • Rao-blackwellised particle filtering for dynamic Bayesian networks

    Arnaud Doucet;Nando de Freitas;Kevin P. Murphy;Stuart J. Russell

  • A survey of convergence results on particle filtering methods for practitioners

    D. Crisan;A. Doucet

  • Particle filters for state estimation of jump Markov linear systems

    A. Doucet;N.J. Gordon;V. Krishnamurthy

  • On sequential simulation-based methods for Bayesian filtering

    Arnaud Doucet;Simon J. Godsill;Christophe Andrieu

  • Monte Carlo Smoothing for Nonlinear Time Series

    Simon J Godsill;Arnaud Doucet;Mike West

  • On Particle Methods for Parameter Estimation in State-Space Models

    Nikolas Kantas;Arnaud Doucet;Sumeetpal S. Singh;Jan Maciejowski

  • Fast Computation of Wasserstein Barycenters

    Marco Cuturi;Arnaud Doucet

  • An adaptive sequential Monte Carlo method for approximate Bayesian computation

    Pierre Moral;Arnaud Doucet;Ajay Jasra

  • Sequential monte carlo implementation of the phd filter for multi-target tracking

    Ba-Ngu Vo;S. Singh;A. Doucet

  • Particle methods for change detection, system identification, and control

    C. Andrieu;A. Doucet;S.S. Singh;V.B. Tadic

  • Augmented Neural ODEs

    Emilien Dupont;Arnaud Doucet;Yee Whye Teh

  • Sequential monte carlo samplers

    Pierre Del Moral;Arnaud Doucet

Frequent Co-Authors

Christophe Andrieu
Christophe Andrieu University of Bristol
Nando de Freitas
Nando de Freitas DeepMind (United Kingdom)
Simon J. Godsill
Simon J. Godsill University of Cambridge
Yee Whye Teh
Yee Whye Teh University of Oxford
Ba-Ngu Vo
Ba-Ngu Vo Curtin University
Christian P. Robert
Christian P. Robert Paris Dauphine University
Frank Wood
Frank Wood University of British Columbia
Robin J. Evans
Robin J. Evans University of Melbourne
Michael West
Michael West Duke University
Vikram Krishnamurthy
Vikram Krishnamurthy Cornell University

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