Arnaud Doucet
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
-
- Target Tracking and Data Fusion in Sensor Networks 114
- Bayesian Methods and Mixture Models 87
- Gaussian Processes and Bayesian Inference 35
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- Markov Chains and Monte Carlo Methods 58
- Statistical Methods and Inference 32
- Statistical Methods and Bayesian Inference 28
- Co-authors
- Christophe Andrieu (65 shared papers)Simon Godsill (14 shared papers)Nando de Freitas (17 shared papers)Adam M. Johansen (12 shared papers)Pierre Del Moral (28 shared papers)Ajay Jasra (15 shared papers)Neil Gordon (4 shared papers)Michael I. Jordan (1 shared paper)
- Journals
- IEEE Transactions on Signal Processing (12 papers)Journal of Computational and Graphical Statistics (6 papers)Annals of the Institute of Statistical Mathematics (6 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (6 papers)Statistics and Computing (5 papers)
- Partner nations
- United KingdomCanadaFrance
In The Last Decade
Arnaud Doucet
274 papers receiving 23.9k citations
Arnaud Doucet's Hit Papers
Peers
Comparison fields: 5 of 199
- Artificial Intelligence 14.6k
- Statistics and Probability 3.2k
- Signal Processing 2.4k
- Control and Systems Engineering 4.4k
- Statistics, Probability and Uncertainty 1.1k
Countries citing papers authored by Arnaud Doucet
This map shows the geographic impact of Arnaud Doucet'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 Arnaud Doucet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnaud Doucet more than expected).
Fields of papers citing papers by Arnaud Doucet
This network shows the impact of papers produced by Arnaud Doucet. 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 Arnaud Doucet. The network helps show where Arnaud Doucet may publish in the future.
Co-authors
The 25 scholars most cited alongside Arnaud Doucet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 285 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sequential Monte Carlo Methods in Practice Hit paper breakdown → | 2001 | 5665 |
| 2 | On sequential Monte Carlo sampling methods for Bayesian filtering Hit paper breakdown → | 2000 | 3290 |
| 3 | An Introduction to MCMC for Machine Learning Hit paper breakdown → | 2003 | 1651 |
| 4 | Particle Markov Chain Monte Carlo Methods Hit paper breakdown → | 2010 | 1190 |
| 5 | The Unscented Particle Filter Hit paper breakdown → | 2000 | 1115 |
| 6 | Sequential Monte Carlo Samplers Hit paper breakdown → | 2006 | 1004 |
| 7 | A Tutorial on Particle Filtering and Smoothing: Fifteen years later Hit paper breakdown → | 2008 | 1003 |
| 8 | An Introduction to Sequential Monte Carlo Methods Hit paper breakdown → | 2001 | 752 |
| 9 | A survey of convergence results on particle filtering methods for practitioners Hit paper breakdown → | 2002 | 672 |
| 10 | Particle filters for state estimation of jump Markov linear systems Hit paper breakdown → | 2001 | 573 |
| 11 | 2004 | 378 | |
| 12 | On sequential simulation-based methods for Bayesian filtering | 1998 | 292 |
| 13 | 2011 | 292 | |
| 14 | 2004 | 240 | |
| 15 | 2005 | 238 | |
| 16 | 2003 | 233 | |
| 17 | 2013 | 187 | |
| 18 | 2002 | 176 | |
| 19 | 2009 | 173 | |
| 20 | 1999 | 173 |
About Arnaud Doucet
Arnaud Doucet is a scholar working on Artificial Intelligence, Statistics and Probability, Control and Systems Engineering, Signal Processing and Computer Networks and Communications, having authored 285 papers that have together received 25.6k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (114 papers), Bayesian Methods and Mixture Models (87 papers), Markov Chains and Monte Carlo Methods (58 papers), Gaussian Processes and Bayesian Inference (35 papers), Fault Detection and Control Systems (34 papers), Statistical Methods and Inference (32 papers), Statistical Methods and Bayesian Inference (28 papers) and Blind Source Separation Techniques (26 papers). The work is most often cited by research in Artificial Intelligence (14.6k citations), Statistics and Probability (3.2k citations), Signal Processing (2.4k citations), Control and Systems Engineering (4.4k citations) and Statistics, Probability and Uncertainty (1.1k citations). Arnaud Doucet has collaborated with scholars based in United Kingdom, Canada and France. Frequent co-authors include Christophe Andrieu, Simon Godsill, Nando de Freitas, Adam M. Johansen, Pierre Del Moral, Ajay Jasra, Neil Gordon, Michael I. Jordan, Sumeetpal S. Singh and Dan Crisan. Their work appears in journals such as IEEE Transactions on Signal Processing, Journal of Computational and Graphical Statistics, Annals of the Institute of Statistical Mathematics, Journal of the Royal Statistical Society Series B (Statistical Methodology) 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.