World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
42
Citations
21818
World Ranking
1742
National Ranking
122

Computer Science

D-Index
42
Citations
21796
World Ranking
8134
National Ranking
485

Christophe Andrieu 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 Christophe Andrieu 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: 147 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Christophe Andrieu 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 Christophe Andrieu 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: 42 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Christophe Andrieu is affiliated with the University of Bristol in the United Kingdom. Their primary research domain lies within the field of Mathematics, with a focus on several interconnected subfields including Statistics and Probability, Mathematical Physics, Artificial Intelligence, Condensed Matter Physics, and Economics and Econometrics.

Their body of work addresses a variety of topics, prominently featuring Markov Chains and Monte Carlo Methods, Stochastic Processes and Statistical Mechanics, Statistical Methods and Inference, Theoretical and Computational Physics, Machine Learning and Algorithms, Health Systems, Economic Evaluations, Quality of Life, and Advanced Statistical Process Monitoring.

Christophe Andrieu has contributed extensively to academic research with a notable number of publications. Some recent papers include:

  • Explicit convergence bounds for Metropolis Markov chains: Isoperimetry, spectral gaps and profiles, 2024, The Annals of Applied Probability
  • Hypocoercivity of piecewise deterministic Markov process-Monte Carlo, 2021, The Annals of Applied Probability
  • Peskun-Tierney ordering for Markovian Monte Carlo: Beyond the reversible scenario, 2021, The Annals of Statistics
  • A general perspective on the Metropolis-Hastings kernel, 2020, arXiv (Cornell University)
  • Multilevel and Quasi Monte Carlo Methods for the Calculation of the Expected Value of Partial Perfect Information, 2021, Medical Decision Making

The venues in which Christophe Andrieu frequently publishes highlight their engagement with both theoretical and applied aspects of statistics and probability. Key publication venues include:

  • arXiv (Cornell University)
  • The Annals of Applied Probability
  • Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • The Annals of Statistics
  • Medical Decision Making

Throughout their research career, Christophe Andrieu has collaborated with several frequent co-authors, suggesting active participation in a network of scholars. Regular collaborators include:

  • Anthony Lee
  • Sam Power
  • Andi Q. Wang
  • Alain Durmus
  • Samuel Livingstone

Best Publications

  • 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

  • A tutorial on adaptive MCMC

    Christophe Andrieu;Johannes Thoms

  • The pseudo-marginal approach for efficient Monte Carlo computations

    Christophe Andrieu;Gareth O. Roberts

  • On sequential simulation-based methods for Bayesian filtering

    Arnaud Doucet;Simon J. Godsill;Christophe Andrieu

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

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

  • On the ergodicity properties of some adaptive MCMC algorithms

    Christophe Andrieu;Éric Moulines

  • Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC

    C. Andrieu;A. Doucet

  • Particle filtering for partially observed Gaussian state space models

    Christophe Andrieu;Arnaud Doucet

  • Stability of Stochastic Approximation under Verifiable Conditions

    C. Andrieu;E. Moulines;P. Priouret

  • Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions

    C. Andrieu;M. Davy;A. Doucet

  • Bayesian curve fitting using MCMC with applications to signal segmentation

    E. Punskaya;C. Andrieu;A. Doucet;W.J. Fitzgerald

  • Particle methods for Bayesian modeling and enhancement of speech signals

    J. Vermaak;C. Andrieu;A. Doucet;S.J. Godsill

  • Model criticism based on likelihood-free inference, with an application to protein network evolution

    Oliver Ratmann;Christophe Andrieu;Carsten Wiuf;Sylvia Richardson

  • Particle filtering for multi-target tracking and sensor management

    A. Doucet;B.-N. Vo;C. Andrieu;M. Davy

  • Sequential MCMC for Bayesian model selection

    C. Andrieu;N. De Freitas;A. Doucet

  • Iterative algorithms for state estimation of jump Markov linear systems

    A. Doucet;C. Andrieu

  • Convergence properties of pseudo-marginal Markov chain Monte Carlo algorithms

    Christophe Andrieu;Matti Vihola

  • On-Line Parameter Estimation in General State-Space Models

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

Frequent Co-Authors

Arnaud Doucet
Arnaud Doucet University of Oxford
Robert J. Piechocki
Robert J. Piechocki University of Bristol
Simon J. Godsill
Simon J. Godsill University of Cambridge
Eric Moulines
Eric Moulines Mohamed bin Zayed University of Artificial Intelligence
Nando de Freitas
Nando de Freitas DeepMind (United Kingdom)
Christian P. Robert
Christian P. Robert Paris Dauphine University
Arthur Gretton
Arthur Gretton University College London
Joe McGeehan
Joe McGeehan University of Bristol
Gareth O. Roberts
Gareth O. Roberts University of Warwick
Carsten Wiuf
Carsten Wiuf University of Copenhagen

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