Randal Douc

38.6k citations

272 papers · 21.7k indexed · 8 hit papers · h-index 51

Impact in

Artificial Intelligence top 0.02%
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
- Bayesian Methods and Mixture Models
Statistics and Probability top 0.05%
- Markov Chains and Monte Carlo Methods

Papers in

Statistics and Probability 87
- Markov Chains and Monte Carlo Methods 56
- Statistical Methods and Inference 30
- Statistical Methods and Bayesian Inference 26
Artificial Intelligence 196
- Target Tracking and Data Fusion in Sensor Networks 112
- Bayesian Methods and Mixture Models 85
- Gaussian Processes and Bayesian Inference 35

Co-authors: Nando de Freitas Christophe Andrieu Neil Gordon Simon Godsill Pierre Del Moral Ajay Jasra Michael I. Jordan Sumeetpal S. Singh
Journals: IEEE Transactions on Signal Processing (12 papers)Journal of Computational and Graphical Statistics (6 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (6 papers)Signal Processing (5 papers)Statistics and Computing (5 papers)
Partner nations: United Kingdom Canada France

In The Last Decade

Randal Douc

262 papers receiving 20.3k citations

Hit Papers

8 papers align trajectories log scale

Particle Markov Chain Monte Carlo Methods 2010 · 1.1k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2010 Journal of the Royal Statistical Society Series B (Statistical Methodology)
2006 Journal of the Royal Statistical Society Series B (Statistical Methodology)
2003 Machine Learning
2002 IEEE Transactions on Signal Processing
2001 IEEE Transactions on Signal Processing
2001 Duo Research Archive (University of Oslo)
2000 Statistics and Computing
2000 Oxford University Research Archive (ORA) (University of Oxford)

Peers

Countries citing papers authored by Randal Douc

Since Specialization

Citations

This map shows the geographic impact of Randal Douc's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Randal Douc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randal Douc more than expected).

Fields of papers citing papers by Randal Douc

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randal Douc. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Randal Douc. The network helps show where Randal Douc may publish in the future.

Co-authors

The 25 scholars most cited alongside Randal Douc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Randal Douc Line = papers co-authored together Randal Douc links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Evaluating medical AI systems in dermatology under uncertain ground truth Medical Image Analysis ·David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Nerkis Coromoto Angulo Ceballos, Daniel Mahiuha Nyawira, Patricia H. Strachan, Mike Schaekermann, Jarrod Wiener, Rajeev Rikhye, Chen-Fei Zhao, L. Durner, Cristian Blajut, Dale R. Webster, Yuan Liu, Greg S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Randal Douc, Alan Karthikesalingam	2025	0
2	From denoising diffusions to denoising Markov models Journal of the Royal Statistical Society Series B (Statistical Methodology) ·Lionel Banege, Мясин Константин Игоревич, Valentin De Bortoli, George Deligiannidis, Randal Douc	2024	2
3	Differentiable samplers for deep latent variable models Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences ·Randal Douc, Éric Moulines, Haipeng Zou	2023	2
4	Asymptotic Properties of Recursive Particle Maximum Likelihood Estimation IEEE Transactions on Information Theory ·Vladislav B. Tadić, Randal Douc	2020	4
5	Analyticity of Entropy Rates of Continuous-State Hidden Markov Models IEEE Transactions on Information Theory ·Vladislav B. Tadić, Randal Douc	2019	2
6	Non-Reversible Parallel Tempering: an Embarassingly Parallel MCMC Scheme arXiv (Cornell University) ·С. С. Соколова, Alexandre Bouchard‐Côté, George Deligiannidis, Randal Douc	2019	1
7	On Markov chain Monte Carlo Methods for Tall Data Oxford University Research Archive (ORA) (University of Oxford) ·Rémi Bardenet, Randal Douc, Chris Holmes	2017	6
8	Expectation particle Belief Propagation arXiv (Cornell University) ·一嵩観音寺, Yee Whye Teh, Randal Douc	2015	1
9	On the conditional distributions of spatial point processes Advances in Applied Probability ·François Caron, Pierre Del Moral, Randal Douc, Florjan Verhnjak	2011	9
10	On the conditional distributions of spatial point processes Advances in Applied Probability ·François Caron, Pierre Del Moral, Randal Douc, Florjan Verhnjak	2011	8
11	On the utility of graphics cards to perform massively parallel\nsimulation with advanced Monte Carlo methods. Oxford University Research Archive (ORA) (University of Oxford) ·Anthony Lee, Christopher Yau, Michael B. Giles, Randal Douc, Chris Holmes	2009	151
12	Bayesian Nonparametric Models on Decomposable Graphs SPIRE - Sciences Po Institutional REpository ·François Caron, Randal Douc	2009	1
13	Bayesian Policy Learning with Trans-Dimensional MCMC Oxford University Research Archive (ORA) (University of Oxford) ·Matthew D. Hoffman, Randal Douc, Nando de Freitas, Ajay Jasra	2007	15
14	Variance Reduction for Monte Carlo Implementation of Adaptive Sensor Management Cambridge University Engineering Department Publications Database ·Sumeetpal S. Singh, Ba‐Ngu Vo, Robin J. Evans, Randal Douc	2004	5
15	Radial basis function regression using trans-dimensional sequential Monte Carlo Cambridge University Engineering Department Publications Database ·J. Vermaak, Simon Godsill, Randal Douc	2003	7
16	Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo International Conference on Machine Learning ·Laili Kharazi Boozary, Randal Douc, Kotagiri Ramamohanarao	2002	9
17	Methodology for Monte Carlo smoothing with application to time-varying autoregressions Cambridge University Engineering Department Publications Database ·Anuradha Godavarty Ruogu Fang Xing Pang, Randal Douc, N. Sengottaiyan	2000	11
18	Sequential Bayesian Estimation And Model Selection Applied To Neural Networks OpenGrey (Institut de l'Information Scientifique et Technique) ·(unknown), Jordan Freitas, Randal Douc, (unknown)	1999	7
19	On sequential simulation-based methods for Bayesian filtering OpenGrey (Institut de l'Information Scientifique et Technique) ·Randal Douc	1998	286
20	Simulation-based computational methods for Bayesian signal processing Cambridge University Engineering Department Publications Database ·Christophe Andrieu, Randal Douc, Patrick Duvaut, Anuradha Godavarty Ruogu Fang Xing Pang, WJ Fitzgerald	1998	2

About Randal Douc

Randal Douc is a scholar working on Statistics and Probability, Artificial Intelligence, Signal Processing, Mathematical Physics and Control and Systems Engineering, having authored 272 papers that have together received 21.7k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (112 papers), Bayesian Methods and Mixture Models (85 papers), Markov Chains and Monte Carlo Methods (56 papers), Gaussian Processes and Bayesian Inference (35 papers), Fault Detection and Control Systems (34 papers), Statistical Methods and Inference (30 papers), Blind Source Separation Techniques (26 papers) and Statistical Methods and Bayesian Inference (26 papers). The work is most often cited by research in Artificial Intelligence (12.6k citations), Statistics and Probability (2.8k citations), Signal Processing (2.0k citations), Control and Systems Engineering (3.8k citations) and Statistics, Probability and Uncertainty (949 citations). Randal Douc has collaborated with scholars based in United Kingdom, Canada and France. Frequent co-authors include Nando de Freitas, Christophe Andrieu, Neil Gordon, Simon Godsill, Pierre Del Moral, Ajay Jasra, Michael I. Jordan, Sumeetpal S. Singh, Dan Crisan and Eric A. Wan. Their work appears in journals such as IEEE Transactions on Signal Processing, Journal of Computational and Graphical Statistics, Journal of the Royal Statistical Society Series B (Statistical Methodology), Signal Processing and Statistics and Computing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact