Pascal Massart
Impact in
- Statistics and Probability top 0.1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Bayesian Inference
- Artificial Intelligence top 1%
- Bayesian Methods and Mixture Models
- Machine Learning and Algorithms
Papers in
-
- Statistical Methods and Inference 18
-
- Ovarian function and disorders 4
- Co-authors
- Lucien BirgéStéphane BoucheronGábor LugosiBéatrice LaurentAndrew R. BarronPaul DoukhanEmmanuel RioGilles Blanchard
- Journals
- Probability Theory and Related Fields (5 papers)The Annals of Probability (5 papers)The Annals of Statistics (5 papers)Bernoulli (1 paper)Random Structures and Algorithms (1 paper)
- Partner nations
- FranceSpainUnited States
In The Last Decade
Pascal Massart
55 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Statistics and Probability 2.0k
- Artificial Intelligence 1.4k
- Statistics, Probability and Uncertainty 281
- Computational Mathematics 23
- Finance 389
Countries citing papers authored by Pascal Massart
This map shows the geographic impact of Pascal Massart'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 Pascal Massart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Massart more than expected).
Fields of papers citing papers by Pascal Massart
This network shows the impact of papers produced by Pascal Massart. 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 Pascal Massart. The network helps show where Pascal Massart may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Massart, 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 | 2022 | 2 | |
| 2 | 2016 | 11 | |
| 3 | 2013 | 4 | |
| 4 | 2013 | 3 | |
| 5 | 2010 | 35 | |
| 6 | Sélection de modèles: de la théorie à la pratique | 2008 | 0 |
| 7 | Slope heuristics for heteroscedastic regression on a random design | 2008 | 3 |
| 8 | Sélection de modèle : de la théorie à la pratique | 2008 | 2 |
| 9 | 2008 | 4 | |
| 10 | 2001 | 30 | |
| 11 | 2001 | 234 | |
| 12 | 2000 | 126 | |
| 13 | A Sharp Concentration Inequality with Applications | 1999 | 5 |
| 14 | Invariance principles for absolutely regular empirical processes | 1995 | 143 |
| 15 | The functional central limit theorem for strongly mixing processes | 1994 | 105 |
| 16 | 1993 | 130 | |
| 17 | 1989 | 41 | |
| 18 | L'entorse grave métacarpo-phalangienne du pouce au cours des accidents de ski. A propos de 125 réparations chirurgicales sur un ensemble de 340 entorses métacarpo-phalangiennes du pouce par accident de ski | 1984 | 1 |
| 19 | 1984 | 7 | |
| 20 | 1982 | 8 |
About Pascal Massart
Pascal Massart is a scholar working on Statistics and Probability, Reproductive Medicine, Statistics, Probability and Uncertainty, Management Science and Operations Research and Numerical Analysis, having authored 59 papers that have together received 4.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (18 papers), Orthopedic Surgery and Rehabilitation (10 papers), Bayesian Methods and Mixture Models (8 papers), Control Systems and Identification (7 papers), Probability and Risk Models (5 papers), Fault Detection and Control Systems (4 papers), Ovarian function and disorders (4 papers) and Peripheral Nerve Disorders (3 papers). The work is most often cited by research in Statistics and Probability (2.0k citations), Artificial Intelligence (1.4k citations), Statistics, Probability and Uncertainty (281 citations), Computational Mathematics (23 citations) and Finance (389 citations). Pascal Massart has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Lucien Birgé, Stéphane Boucheron, Gábor Lugosi, Béatrice Laurent, Andrew R. Barron, Paul Doukhan, Emmanuel Rio, Gilles Blanchard, Jean‐Michel Poggi and Yannig Goude. Their work appears in journals such as Probability Theory and Related Fields, The Annals of Probability, The Annals of Statistics, Bernoulli and Random Structures and Algorithms.
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.