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
- Artificial Intelligence top 1%
- Bayesian Methods and Mixture Models
- Machine Learning and Algorithms
Papers in
-
- Statistical Methods and Inference 21
- Markov Chains and Monte Carlo Methods 4
-
- Bayesian Methods and Mixture Models 9
- Co-authors
- Lucien Birgé (8 shared papers)Stéphane Boucheron (10 shared papers)Gábor Lugosi (8 shared papers)Béatrice Laurent (1 shared paper)Andrew R. Barron (1 shared paper)Paul Doukhan (2 shared papers)Emmanuel Rio (1 shared paper)Gilles Blanchard (2 shared papers)
- Journals
- The Annals of Statistics (5 papers)The Annals of Probability (5 papers)Probability Theory and Related Fields (5 papers)British Journal of Clinical Pharmacology (1 paper)Clinical Orthopaedics and Related Research (1 paper)
- Partner nations
- FranceSpainUnited States
In The Last Decade
Pascal Massart
63 papers receiving 4.6k citations
Pascal Massart's Hit Papers
Peers
Comparison fields: 5 of 151
- Statistics and Probability 2.3k
- Artificial Intelligence 1.7k
- Finance 474
- Statistics, Probability and Uncertainty 318
- Applied Mathematics 434
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
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Concentration Inequalities Hit paper breakdown → | 2013 | 862 |
| 2 | 2000 | 437 | |
| 3 | 1990 | 407 | |
| 4 | 1999 | 390 | |
| 5 | 2001 | 260 | |
| 6 | 1997 | 232 | |
| 7 | 1998 | 189 | |
| 8 | 2006 | 159 | |
| 9 | Invariance principles for absolutely regular empirical processes | 1995 | 157 |
| 10 | 2000 | 155 | |
| 11 | 2000 | 149 | |
| 12 | 1993 | 138 | |
| 13 | 1993 | 132 | |
| 14 | 2000 | 126 | |
| 15 | 2003 | 122 | |
| 16 | The functional central limit theorem for strongly mixing processes | 1994 | 118 |
| 17 | 1995 | 112 | |
| 18 | 2006 | 91 | |
| 19 | 2008 | 76 | |
| 20 | 2021 | 73 |
About Pascal Massart
Pascal Massart is a scholar working on Statistics and Probability, Artificial Intelligence, Surgery, Management Science and Operations Research and Control and Systems Engineering, having authored 69 papers that have together received 5.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (21 papers), Orthopedic Surgery and Rehabilitation (10 papers), Bayesian Methods and Mixture Models (9 papers), Control Systems and Identification (7 papers), Probability and Risk Models (6 papers), Mathematical Approximation and Integration (4 papers), Markov Chains and Monte Carlo Methods (4 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Statistics and Probability (2.3k citations), Artificial Intelligence (1.7k citations), Finance (474 citations), Statistics, Probability and Uncertainty (318 citations) and Applied Mathematics (434 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 The Annals of Statistics, The Annals of Probability, Probability Theory and Related Fields, British Journal of Clinical Pharmacology and Clinical Orthopaedics and Related Research.
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.