Sylvain Arlot
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
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- Astro and Planetary Science
- Stellar, planetary, and galactic studies
Papers in
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- Statistical Methods and Inference 7
- Statistical Methods and Bayesian Inference 1
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- Bayesian Methods and Mixture Models 6
- Co-authors
- Gilles Blanchard (2 shared papers)Étienne Roquain (2 shared papers)V. Lainey (1 shared paper)Jean-Eudes Arlot (1 shared paper)A. Vienne (1 shared paper)Robin Genuer (1 shared paper)Pascal Massart (1 shared paper)Matthieu Lerasle (1 shared paper)
- Journals
- Electronic Journal of Statistics (2 papers)The Annals of Statistics (2 papers)Astronomy and Astrophysics (1 paper)Test (1 paper)arXiv (Cornell University) (2 papers)
In The Last Decade
Sylvain Arlot
9 papers receiving 129 citations
Peers
Comparison fields: 5 of 54
- Statistics and Probability 60
- Astronomy and Astrophysics 28
- Statistics, Probability and Uncertainty 10
- Artificial Intelligence 42
- Signal Processing 9
Countries citing papers authored by Sylvain Arlot
This map shows the geographic impact of Sylvain Arlot'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 Sylvain Arlot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Arlot more than expected).
Fields of papers citing papers by Sylvain Arlot
This network shows the impact of papers produced by Sylvain Arlot. 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 Sylvain Arlot. The network helps show where Sylvain Arlot may publish in the future.
Co-authors
The 8 scholars most cited alongside Sylvain Arlot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 34 | |
| 2 | 2009 | 32 | |
| 3 | 2009 | 22 | |
| 4 | 2009 | 20 | |
| 5 | 2009 | 11 | |
| 6 | 2016 | 9 | |
| 7 | Slope heuristics for heteroscedastic regression on a random design | 2008 | 3 |
| 8 | $V$-fold cross-validation and $V$-fold penalization in least-squares density estimation | 2012 | 2 |
| 9 | Suboptimality of penalties proportional to the dimension for model selection in heteroscedastic regression | 2008 | 1 |
About Sylvain Arlot
Sylvain Arlot is a scholar working on Statistics and Probability, Artificial Intelligence, Control and Systems Engineering, Management Science and Operations Research and Nature and Landscape Conservation, having authored 9 papers that have together received 134 indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (6 papers), Control Systems and Identification (2 papers), Optimal Experimental Design Methods (2 papers), Nuclear physics research studies (1 paper), Data Management and Algorithms (1 paper), Advanced Statistical Process Monitoring (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Statistics and Probability (60 citations), Astronomy and Astrophysics (28 citations), Statistics, Probability and Uncertainty (10 citations), Artificial Intelligence (42 citations) and Signal Processing (9 citations). Sylvain Arlot has collaborated with scholars based in France, Burundi and Germany. Frequent co-authors include Gilles Blanchard, Étienne Roquain, V. Lainey, Jean-Eudes Arlot, A. Vienne, Robin Genuer, Pascal Massart and Matthieu Lerasle. Their work appears in journals such as Electronic Journal of Statistics, The Annals of Statistics, Astronomy and Astrophysics, Test and arXiv (Cornell University).
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.