Dominique Fourdrinier
- Statistics and Probability top 1%
- Statistical Methods and Inference 28
- Statistical Methods and Bayesian Inference 20
- Statistical Distribution Estimation and Applications 16
- Advanced Statistical Methods and Models 13
- Random Matrices and Applications 4
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- Advanced Statistical Process Monitoring 4
- Finance top 10%
- Applied Mathematics top 10%
- Point processes and geometric inequalities 7
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- Bayesian Methods and Mixture Models 10
- Co-authors
- William E. StrawdermanMartin T. WellsChristian P. RobertDominic CellierDominique CellierStéphane CanuÉric MarchandSerguei Pergamenshchikov
- Journals
- The Annals of Statistics (2 papers)Statistical Science (1 paper)International Statistical Review (1 paper)
- Partner nations
- FranceUnited StatesAlgeria
In The Last Decade
Dominique Fourdrinier
40 papers receiving 334 citations
Peers
Comparison fields: 5 of 77
- Statistics and Probability 285
- Statistics, Probability and Uncertainty 30
- Finance 38
- Applied Mathematics 36
- Artificial Intelligence 72
Countries citing papers authored by Dominique Fourdrinier
This map shows the geographic impact of Dominique Fourdrinier'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 Dominique Fourdrinier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominique Fourdrinier more than expected).
Fields of papers citing papers by Dominique Fourdrinier
This network shows the impact of papers produced by Dominique Fourdrinier. 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 Dominique Fourdrinier. The network helps show where Dominique Fourdrinier may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Dominique Fourdrinier, 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 | 2017 | 2 | |
| 2 | 2015 | 3 | |
| 3 | 2015 | 0 | |
| 4 | 2014 | 2 | |
| 5 | AIC and Cp as estimators of loss for spherically symmetric distributions | 2013 | 3 |
| 6 | 2012 | 13 | |
| 7 | 2011 | 19 | |
| 8 | 2010 | 4 | |
| 9 | 2008 | 4 | |
| 10 | 2008 | 4 | |
| 11 | 2006 | 7 | |
| 12 | 2006 | 3 | |
| 13 | 2003 | 25 | |
| 14 | 2003 | 9 | |
| 15 | 2003 | 1 | |
| 16 | 1998 | 3 | |
| 17 | 1996 | 16 | |
| 18 | 1995 | 4 | |
| 19 | 1995 | 24 | |
| 20 | 1989 | 34 |
About Dominique Fourdrinier
Dominique Fourdrinier is a scholar working on Statistics and Probability, Applied Mathematics and Statistics, Probability and Uncertainty, having authored 44 papers that have together received 366 indexed citations. Recurring topics across this work include Statistical Methods and Inference (28 papers), Statistical Methods and Bayesian Inference (20 papers), Statistical Distribution Estimation and Applications (16 papers), Advanced Statistical Methods and Models (13 papers), Bayesian Methods and Mixture Models (10 papers), Point processes and geometric inequalities (7 papers), Random Matrices and Applications (4 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Statistics and Probability (285 citations), Statistics, Probability and Uncertainty (30 citations) and Finance (38 citations). Dominique Fourdrinier has collaborated with scholars based in France, United States and Algeria. Frequent co-authors include William E. Strawderman, Martin T. Wells, Christian P. Robert, Dominic Cellier, Dominique Cellier, Stéphane Canu, Éric Marchand, Serguei Pergamenshchikov and Anne Philippe. Their work appears in journals such as The Annals of Statistics, Statistical Science and International Statistical Review.
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.