Stéphan Clémençon
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Markov Chains and Monte Carlo Methods
- Advanced Statistical Methods and Models
- Artificial Intelligence top 5%
- Machine Learning and Algorithms
- Bayesian Methods and Mixture Models
- Imbalanced Data Classification Techniques
Papers in
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- Bayesian Methods and Mixture Models 13
- Machine Learning and Algorithms 7
- Bayesian Modeling and Causal Inference 7
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- Statistical Methods and Inference 16
- Advanced Statistical Methods and Models 14
- Statistical Methods and Bayesian Inference 9
- Markov Chains and Monte Carlo Methods 9
- Co-authors
- Nicolas Vayatis (11 shared papers)Gábor Lugosi (2 shared papers)Patrice Bertail (16 shared papers)Laureen Ribassin-Majed (2 shared papers)Max Feinberg (4 shared papers)P Verger (3 shared papers)Gennaro Cordasco (1 shared paper)Laurence Likforman-Sulem (1 shared paper)
In The Last Decade
Stéphan Clémençon
74 papers receiving 937 citations
Peers
Comparison fields: 5 of 125
- Statistics and Probability 271
- Artificial Intelligence 462
- Health Informatics 15
- Management Science and Operations Research 101
- Computer Vision and Pattern Recognition 141
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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 176 | |
| 2 | 2006 | 119 | |
| 3 | 2017 | 65 | |
| 4 | 2020 | 36 | |
| 5 | 2012 | 34 | |
| 6 | 2014 | 32 | |
| 7 | 2009 | 30 | |
| 8 | 2007 | 28 | |
| 9 | 2012 | 27 | |
| 10 | 2017 | 25 | |
| 11 | 2006 | 25 | |
| 12 | 2011 | 18 | |
| 13 | 2013 | 18 | |
| 14 | 2004 | 18 | |
| 15 | 2016 | 17 | |
| 16 | Ranking forests | 2013 | 17 |
| 17 | 2009 | 16 | |
| 18 | 2012 | 14 | |
| 19 | 2010 | 12 | |
| 20 | 2007 | 12 |
About Stéphan Clémençon
Stéphan Clémençon is a scholar working on Artificial Intelligence, Statistics and Probability, Finance, Mathematical Physics and Information Systems, having authored 82 papers that have together received 964 indexed citations. Recurring topics across this work include Statistical Methods and Inference (16 papers), Advanced Statistical Methods and Models (14 papers), Bayesian Methods and Mixture Models (13 papers), Statistical Methods and Bayesian Inference (9 papers), Markov Chains and Monte Carlo Methods (9 papers), Financial Risk and Volatility Modeling (8 papers), Machine Learning and Algorithms (7 papers) and Bayesian Modeling and Causal Inference (7 papers). The work is most often cited by research in Statistics and Probability (271 citations), Artificial Intelligence (462 citations), Health Informatics (15 citations), Management Science and Operations Research (101 citations) and Computer Vision and Pattern Recognition (141 citations). Stéphan Clémençon has collaborated with scholars based in France, Belgium and Hong Kong. Frequent co-authors include Nicolas Vayatis, Gábor Lugosi, Patrice Bertail, Laureen Ribassin-Majed, Max Feinberg, P Verger, Gennaro Cordasco, Laurence Likforman-Sulem, Anna Esposito and Marcos Faúndez-Zanuy. Their work appears in journals such as Bernoulli, Machine Learning, Journal of Multivariate Analysis, Quantitative Finance and ESAIM Probability and Statistics.
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.