Stéphan Clémençon
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Markov Chains and Monte Carlo Methods
- Artificial Intelligence top 2%
- Machine Learning and Algorithms
- Bayesian Methods and Mixture Models
- Imbalanced Data Classification Techniques
Papers in
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- Bayesian Methods and Mixture Models 16
- Anomaly Detection Techniques and Applications 8
- Machine Learning and Algorithms 8
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- Advanced Statistical Methods and Models 18
- Statistical Methods and Inference 18
- Markov Chains and Monte Carlo Methods 9
- Statistical Methods and Bayesian Inference 9
- Co-authors
- Nicolas Vayatis (15 shared papers)Gábor Lugosi (4 shared papers)Patrice Bertail (17 shared papers)Anna Esposito (2 shared papers)Laurence Likforman-Sulem (2 shared papers)Marcos Faúndez-Zanuy (2 shared papers)Max Feinberg (4 shared papers)Gennaro Cordasco (1 shared paper)
In The Last Decade
Stéphan Clémençon
86 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 127
- Statistics and Probability 322
- Artificial Intelligence 601
- Health Informatics 15
- Management Science and Operations Research 142
- Computer Vision and Pattern Recognition 173
Countries citing papers authored by Stéphan Clémençon
This map shows the geographic impact of Stéphan Clémençon'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 Stéphan Clémençon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphan Clémençon more than expected).
Fields of papers citing papers by Stéphan Clémençon
This network shows the impact of papers produced by Stéphan Clémençon. 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 Stéphan Clémençon. The network helps show where Stéphan Clémençon may publish in the future.
Co-authors
The 25 scholars most cited alongside Stéphan Clémençon, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 187 | |
| 2 | 2006 | 127 | |
| 3 | 2017 | 82 | |
| 4 | 2005 | 54 | |
| 5 | 2020 | 43 | |
| 6 | 2012 | 37 | |
| 7 | 2014 | 37 | |
| 8 | 2006 | 35 | |
| 9 | 2009 | 35 | |
| 10 | 2007 | 30 | |
| 11 | 2017 | 28 | |
| 12 | 2012 | 27 | |
| 13 | 2016 | 21 | |
| 14 | Ranking forests | 2013 | 21 |
| 15 | 2004 | 19 | |
| 16 | 2013 | 18 | |
| 17 | 2011 | 18 | |
| 18 | 2009 | 17 | |
| 19 | 2017 | 14 | |
| 20 | 2007 | 14 |
About Stéphan Clémençon
Stéphan Clémençon is a scholar working on Artificial Intelligence, Statistics and Probability, Finance, Management Science and Operations Research and Signal Processing, having authored 97 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (18 papers), Statistical Methods and Inference (18 papers), Bayesian Methods and Mixture Models (16 papers), Markov Chains and Monte Carlo Methods (9 papers), Statistical Methods and Bayesian Inference (9 papers), Financial Risk and Volatility Modeling (9 papers), Anomaly Detection Techniques and Applications (8 papers) and Machine Learning and Algorithms (8 papers). The work is most often cited by research in Statistics and Probability (322 citations), Artificial Intelligence (601 citations), Health Informatics (15 citations), Management Science and Operations Research (142 citations) and Computer Vision and Pattern Recognition (173 citations). Stéphan Clémençon has collaborated with scholars based in France, Belgium and Spain. Frequent co-authors include Nicolas Vayatis, Gábor Lugosi, Patrice Bertail, Anna Esposito, Laurence Likforman-Sulem, Marcos Faúndez-Zanuy, Max Feinberg, Gennaro Cordasco, Laureen Ribassin-Majed and P Verger. Their work appears in journals such as Bernoulli, Machine Learning, Electronic Journal of Statistics, Journal of Multivariate Analysis and Quantitative Finance.
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.