Christophe Andrieu

15.5k total citations · 4 hit papers
119 papers, 9.2k citations indexed

About

Christophe Andrieu is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Christophe Andrieu has authored 119 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 47 papers in Statistics and Probability and 25 papers in Signal Processing. Recurrent topics in Christophe Andrieu's work include Bayesian Methods and Mixture Models (46 papers), Markov Chains and Monte Carlo Methods (34 papers) and Target Tracking and Data Fusion in Sensor Networks (27 papers). Christophe Andrieu is often cited by papers focused on Bayesian Methods and Mixture Models (46 papers), Markov Chains and Monte Carlo Methods (34 papers) and Target Tracking and Data Fusion in Sensor Networks (27 papers). Christophe Andrieu collaborates with scholars based in United Kingdom, France and Australia. Christophe Andrieu's co-authors include Randal Douc, Simon Godsill, Nando de Freitas, Michael I. Jordan, Gareth O. Roberts, Éric Moulines, Manuel Davy, Vladislav B. Tadić, WJ Fitzgerald and Sumeetpal S. Singh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Proceedings of the IEEE and IEEE Transactions on Information Theory.

In The Last Decade

Christophe Andrieu

115 papers receiving 8.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

On sequential Monte Carlo sampling methods for Bayesian filtering

2000 3.1k citations Randal Douc, Christophe Andrieu et al. profile →
An Introduction to MCMC for Machine Learning

2003 1.5k citations Christophe Andrieu, Randal Douc et al. profile →
Particle Markov Chain Monte Carlo Methods

2010 1.1k citations Christophe Andrieu, Randal Douc et al. profile →
A tutorial on adaptive MCMC

2008 505 citations Christophe Andrieu et al. profile →

Peers

Countries citing papers authored by Christophe Andrieu

Since Specialization

Citations

This map shows the geographic impact of Christophe Andrieu'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 Christophe Andrieu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Andrieu more than expected).

Fields of papers citing papers by Christophe Andrieu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christophe Andrieu. 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 Christophe Andrieu. The network helps show where Christophe Andrieu may publish in the future.

Co-authorship network of co-authors of Christophe Andrieu

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Andrieu. A scholar is included among the top collaborators of Christophe Andrieu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christophe Andrieu. Christophe Andrieu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Multilevel and Quasi Monte Carlo Methods for the Calculation of the Expected Value of Partial Perfect Information 2021 ·Medical Decision Making ·(unknown), (unknown), Michael B. Giles, Christopher Jackson, Nicky J. Welton, Christophe Andrieu, Howard Thom	4
2	Establishing some order amongst exact approximations of MCMCs 2016 ·The Annals of Applied Probability ·Christophe Andrieu, Matti Vihola	13
3	European Signal Processing Conference 2015 ·European Signal Processing Conference ·Christophe Andrieu, Manuel Davy, Randal Douc	4
4	31st International Conference on Machine Learning, ICML 2014 2014 ·International Conference on Machine Learning ·Dino Sejdinović, Heiko Strathmann, (unknown), Christophe Andrieu, Arthur Gretton	74
5	Online Bayesian Inference in Some Time-Frequency Representations of Non-Stationary Processes 2013 ·IEEE Transactions on Signal Processing ·Richard G. Everitt, Christophe Andrieu, Manuel Davy	4
6	Reply to Robert et al.: Model criticism informs model choice and model comparison 2010 ·Proceedings of the National Academy of Sciences ·Oliver Ratmann, Christophe Andrieu, Carsten Wiuf, Sylvia Richardson	6
7	European Signal Processing Conference (EUSIPCO), Florence, Italy 2006 ·European Signal Processing Conference ·Robert J. Piechocki, Christophe Andrieu, Magnus Sandell, (unknown)	2
8	IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, 2006 (SPAWC '06), Cannes 2006 ·Bristol Research (University of Bristol) ·(unknown), Christophe Andrieu, Robert J. Piechocki, Justin P. Coon	0
9	On-Line Parameter Estimation in General State-Space Models 2006 ·Christophe Andrieu, Randal Douc, Vladislav B. Tadić	55
10	PDA multiple model approach for joint channel tracking and symbol detection in MIMO systems 2006 ·IEE Proceedings - Communications ·Yumeng Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell	3
11	Tree-Based Reparameterization for Symbol Detection in Spatially Multiplexed MIMO Systems in Frequency Flat Fading 2006 ·Explore Bristol Research ·(unknown), Christophe Andrieu, Robert J. Piechocki, Justin P. Coon	0
12	Gaussian approximation based mixture reduction for near optimum detection in MIMO systems 2005 ·IEEE Communications Letters ·(unknown), Christophe Andrieu, Robert J. Piechocki, Magnus Sandell	34
13	Technical impacts of small distributed generation units on LV networks 2004 ·2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491) ·Quoc Tuan Tran, Christophe Andrieu, Nourédine Hadjsaïd	37
14	4th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2003 (SPAWC 2003) 2003 ·Christophe Andrieu, (unknown), Robert J. Piechocki	4
15	Bayesian model selection and parameter estimation of nuclear emission spectra using RJMCMC 2003 ·Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment ·Sirajudeen Gulam Razul, WJ Fitzgerald, Christophe Andrieu	47
16	Measure of cyclostationarity for Gaussian processes based on the likelihood ratio test 2002 ·Christophe Andrieu, Patrick Duvaut	6
17	Bayesian blind and semi-blind equalisation of channels with Markov inputs 2001 ·IEE Proceedings - Vision Image and Signal Processing ·Randal Douc, Christophe Andrieu, (unknown)	5
18	Convergence of simulated annealing using Foster-Lyapunov criteria 2001 ·Journal of Applied Probability ·Christophe Andrieu, (unknown), Randal Douc	8
19	Robust Full Bayesian Methods for Neural Networks 1999 ·Oxford University Research Archive (ORA) (University of Oxford) ·Christophe Andrieu, (unknown), Randal Douc	9
20	Simulation-based computational methods for Bayesian signal processing 1998 ·Cambridge University Engineering Department Publications Database ·Christophe Andrieu, Randal Douc, Patrick Duvaut, (unknown), WJ Fitzgerald	2

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.

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