Pascal Lezaud
Impact in
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
Papers in
-
- Random Matrices and Applications 3
- Markov Chains and Monte Carlo Methods 2
- Statistical Distribution Estimation and Applications 2
-
- Stochastic processes and statistical mechanics 5
- Journals
- Stochastic Processes and their Applications (1 paper)ESAIM Probability and Statistics (1 paper)Simulation Modelling Practice and Theory (1 paper)The Annals of Applied Probability (1 paper)Winter Simulation Conference (1 paper)
- Partner nations
- FranceNetherlandsUnited States
In The Last Decade
Pascal Lezaud
9 papers receiving 146 citations
Peers
Comparison fields: 5 of 39
- Statistics and Probability 73
- Mathematical Physics 44
- Management Science and Operations Research 37
- Applied Mathematics 23
- Statistics, Probability and Uncertainty 15
Countries citing papers authored by Pascal Lezaud
This map shows the geographic impact of Pascal Lezaud'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 Lezaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Lezaud more than expected).
Fields of papers citing papers by Pascal Lezaud
This network shows the impact of papers produced by Pascal Lezaud. 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 Lezaud. The network helps show where Pascal Lezaud may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Pascal Lezaud, 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 | 2012 | 2 | |
| 3 | Sampling per mode simulation for switching diffusions | 2010 | 1 |
| 4 | 2008 | 12 | |
| 5 | 2006 | 10 | |
| 6 | Some recent improvements to importance splitting | 2006 | 5 |
| 7 | 2005 | 22 | |
| 8 | 2001 | 25 | |
| 9 | 1998 | 78 |
About Pascal Lezaud
Pascal Lezaud is a scholar working on Statistics and Probability, Mathematical Physics, Management Science and Operations Research, Geometry and Topology and Artificial Intelligence, having authored 9 papers that have together received 157 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (5 papers), Bayesian Methods and Mixture Models (4 papers), Probability and Risk Models (4 papers), Random Matrices and Applications (3 papers), Markov Chains and Monte Carlo Methods (2 papers), Statistical Distribution Estimation and Applications (2 papers), Graph theory and applications (2 papers) and Financial Risk and Volatility Modeling (1 paper). The work is most often cited by research in Statistics and Probability (73 citations), Mathematical Physics (44 citations), Management Science and Operations Research (37 citations), Applied Mathematics (23 citations) and Statistics, Probability and Uncertainty (15 citations). Pascal Lezaud has collaborated with scholars based in France, Netherlands and United States. Frequent co-authors include Frédéric Cérou, F. LeGland, Pierre Del Moral, Arnaud Guyader, Agnès Lagnoux and François Le Gland. Their work appears in journals such as Stochastic Processes and their Applications, ESAIM Probability and Statistics, Simulation Modelling Practice and Theory, The Annals of Applied Probability and Winter Simulation Conference.
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.