Christophe Andrieu
- Artificial Intelligence top 0.1%
- Statistics and Probability top 0.1%
- Control and Systems Engineering top 0.5%
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Randal DoucSimon GodsillNando de FreitasMichael I. JordanGareth O. RobertsÉric MoulinesManuel DavyVladislav B. Tadić
- Topics
- Bayesian Methods and Mixture Models (46 papers)Markov Chains and Monte Carlo Methods (34 papers)Target Tracking and Data Fusion in Sensor Networks (27 papers)
- Journals
- Proceedings of the National Academy of SciencesProceedings of the IEEEIEEE Transactions on Information Theory
- Partner nations
- United KingdomFranceAustralia
In The Last Decade
Christophe Andrieu
115 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Artificial Intelligence 4.9k
- Statistics and Probability 1.6k
- Control and Systems Engineering 1.4k
- Electrical and Electronic Engineering 1.0k
- Computer Vision and Pattern Recognition 897
Countries citing papers authored by Christophe Andrieu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 13 | |
| 3 | European Signal Processing Conference | 4 |
| 4 | 31st International Conference on Machine Learning, ICML 2014 | 74 |
| 5 | 4 | |
| 6 | 6 | |
| 7 | European Signal Processing Conference (EUSIPCO), Florence, Italy | 2 |
| 8 | IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, 2006 (SPAWC '06), Cannes | 0 |
| 9 | 55 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 34 | |
| 13 | 37 | |
| 14 | 4th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2003 (SPAWC 2003) | 4 |
| 15 | 47 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 8 | |
| 19 | Robust Full Bayesian Methods for Neural Networks | 9 |
| 20 | Simulation-based computational methods for Bayesian signal processing | 2 |
About Christophe Andrieu
Christophe Andrieu is a scholar working on Statistics and Probability, Signal Processing and Artificial Intelligence, having authored 119 papers that have together received 9.2k indexed citations. Recurring topics across this 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). The work is most often cited by research in Statistics and Probability (1.6k citations), Artificial Intelligence (4.9k citations) and Signal Processing (875 citations). Christophe Andrieu has collaborated with scholars based in United Kingdom, France and Australia. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Proceedings of the IEEE and IEEE Transactions on Information Theory.
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.