2026 Christian P. Robert: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	78	167	136	9	8	458	50002

Christian P. Robert 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 Christian P. Robert sits on this spectrum.

42 publications 537+

This scientist: 458 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Christian P. Robert 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 Christian P. Robert sits on this spectrum.

30 D-Index 86+

This scientist: 78 D-Index — 95th percentile

95% 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 France Leader Award
2025 - Research.com Mathematics in France Leader Award
2023 - Research.com Mathematics in France Leader Award
2012 - Fellow of the American Statistical Association (ASA)

Overview

Christian P. Robert is affiliated with Paris Dauphine University in France. Their research spans multiple areas within mathematics and computer science, with a particular emphasis on statistics and probability, as well as artificial intelligence.

The scientist's work covers several key research topics, including:

Markov Chains and Monte Carlo Methods
Bayesian Methods and Mixture Models
Gaussian Processes and Bayesian Inference
Statistical Methods and Inference
Statistical Methods and Bayesian Inference
Stochastic processes and statistical mechanics
Bayesian Modeling and Causal Inference

Christian P. Robert has published extensively, with notable recent papers including:

"Rethinking the Effective Sample Size" (2022), published in International Statistical Review
"Model Misspecification in Approximate Bayesian Computation: Consequences and Diagnostics" (2020), published in Journal of the Royal Statistical Society Series B (Statistical Methodology)
"Componentwise approximate Bayesian computation via Gibbs-like steps" (2020), published in Biometrika
"Computing Bayes: Bayesian Computation from 1763 to the 21st Century" (2022), published on arXiv (Cornell University)
"Approximating Bayes in the 21st Century" (2023), published in Statistical Science

The scientist frequently collaborates with several co-authors, including:

David T. Frazier (9 joint publications)
Gael M. Martin (8 joint publications)
Judith Rousseau (5 joint publications)
Robin Ryder (5 joint publications)
Roberto Casarin (4 joint publications)

Christian P. Robert's publications appear predominantly in the following venues:

CHANCE (31 publications)
arXiv (Cornell University) (20 publications)
Statistical Science (4 publications)
Journal of the Royal Statistical Society Series B (Statistical Methodology) (3 publications)
HAL (Le Centre pour la Communication Scientifique Directe) (3 publications)

Their fields of study are mainly Mathematics with a focus on Statistics and Probability, alongside Computer Science, particularly Artificial Intelligence. The subfields also include Mathematical Physics and Pharmacology, reflecting a diverse range of research interests.

Christian P. Robert was recognized as a Fellow of the American Statistical Association (ASA) in 2012.

Best Publications

Monte Carlo Statistical Methods

Christian P. Robert;George Casella

13279
Citations
Machine Learning, a Probabilistic Perspective

Christian Robert

3908
Citations
Bayesian Modeling Using WinBUGS

Christian Robert;Ioannis Ntzoufras

1784
Citations
Monte Carlo Statistical Methods (Springer Texts in Statistics)

Christian P. Robert;George Casella

1620
Citations
Estimation of Finite Mixture Distributions Through Bayesian Sampling

Jean Diebolt;Christian P. Robert

1427
Citations
The Bayesian choice : from decision-theoretic foundations to computational implementation

Christian P. Robert

1393
Citations
The Bayesian choice

Christian P. Robert

1295
Citations
Deviance information criteria for missing data models

G. Celeux;F. Forbes;C. P. Robert;D. M. Titterington

1094
Citations
Abandon Statistical Significance

Blakeley B. McShane;David Gal;Andrew Gelman;Christian Robert

1049
Citations
Inferring population history with DIY ABC

Jean-Marie Cornuet;Filipe Santos;Mark A. Beaumont;Christian P. Robert

1010
Citations
Approximate Bayesian Computational methods

Jean-Michel Marin;Pierre Pudlo;Christian P. Robert;Robin Ryder

990
Citations
Introducing Monte Carlo Methods with R

Christian P. Robert;George Casella

882
Citations
Rao-Blackwellisation of sampling schemes

George Casella;Christian P. Robert

850
Citations
Computational and inferential difficulties with mixture posterior distributions

Gilles Celeux;Merrilee Hurn;Christian P. Robert

844
Citations
An overview of robust Bayesian analysis

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

787
Citations
Bayesian Modelling and Inference on Mixtures of Distributions

Jean-Michel Marin;Kerrie Mengersen;Christian P. Robert

782
Citations
Simulation of truncated normal variables

Christian P. Robert

749
Citations
Adaptive approximate Bayesian computation

Mark A. Beaumont;Jean-Marie Cornuet;Jean-Michel Marin;Christian P. Robert

712
Citations
Population Monte Carlo

Olivier Cappé;Arnaud Guillin;Jean-Michel Marin;Christian P. Robert

620
Citations
Bayesian Core A Practical Approach To Computational Bayesian Statistics

Jean-Michel Marin;Christian Robert

606
Citations
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

387
Citations
Discussion of "Sure independence screening for ultra-high dimensional feature space" by Fan and Lv.

Christian P. Robert

4
Citations
Statistics for Spatio-Temporal Data

Christian Robert

0
Citations

Frequent Co-Authors

Jean-Michel Marin University of Montpellier

George Casella University of Florida

Kerrie Mengersen Queensland University of Technology

Andrew Gelman Columbia University

Gilles Celeux French Institute for Research in Computer Science and Automation - INRIA

Olivier Cappé PSL University

Arnaud Estoup University of Montpellier

Arnaud Guillin University of Clermont Auvergne

D. M. Titterington University of Glasgow

Anne-Marie Lézine Sorbonne University

External Links

Personal website of Christian P. Robert Google Scholar page

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