Philippe Picard
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
Papers in
-
- Probability and Risk Models 21
-
- Mathematical and Theoretical Epidemiology and Ecology Models 21
- Co-authors
- Claude Lefèvre (24 shared papers)Claude Lefèvre (16 shared papers)Jean-Pierre Gabriel (1 shared paper)D. Leclercq (5 shared papers)A. J. Faulkner (1 shared paper)Michel Zivy (1 shared paper)G. W. Kant (3 shared papers)J.G. Bij de Vaate (1 shared paper)
- Journals
- Journal of Applied Probability (16 papers)Advances in Applied Probability (14 papers)Tetrahedron Letters (7 papers)Journal of Peptide Science (6 papers)Mathematical Biosciences (5 papers)
- Partner nations
- FranceBelgiumUnited Kingdom
In The Last Decade
Philippe Picard
95 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 117
- Modeling and Simulation 270
- Mathematical Physics 272
- Management Science and Operations Research 350
- Statistics and Probability 225
- Finance 156
Countries citing papers authored by Philippe Picard
This map shows the geographic impact of Philippe Picard'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 Philippe Picard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Picard more than expected).
Fields of papers citing papers by Philippe Picard
This network shows the impact of papers produced by Philippe Picard. 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 Philippe Picard. The network helps show where Philippe Picard may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Picard, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 87 | |
| 2 | 1990 | 81 | |
| 3 | 1990 | 73 | |
| 4 | 1990 | 61 | |
| 5 | 1981 | 44 | |
| 6 | 1994 | 39 | |
| 7 | 2010 | 33 | |
| 8 | 1994 | 32 | |
| 9 | 1996 | 32 | |
| 10 | 1990 | 31 | |
| 11 | 1982 | 27 | |
| 12 | 2011 | 25 | |
| 13 | 2017 | 24 | |
| 14 | 2003 | 24 | |
| 15 | 1997 | 22 | |
| 16 | 1984 | 21 | |
| 17 | 1998 | 20 | |
| 18 | 1980 | 20 | |
| 19 | 2003 | 19 | |
| 20 | 2017 | 18 |
About Philippe Picard
Philippe Picard is a scholar working on Management Science and Operations Research, Public Health, Environmental and Occupational Health, Statistics and Probability, Modeling and Simulation and Mathematical Physics, having authored 96 papers that have together received 1.2k indexed citations. Recurring topics across this work include Probability and Risk Models (21 papers), Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), COVID-19 epidemiological studies (19 papers), Stochastic processes and statistical mechanics (15 papers), Statistical Distribution Estimation and Applications (12 papers), Financial Risk and Volatility Modeling (10 papers), Bayesian Methods and Mixture Models (8 papers) and Stochastic processes and financial applications (6 papers). The work is most often cited by research in Modeling and Simulation (270 citations), Mathematical Physics (272 citations), Management Science and Operations Research (350 citations), Statistics and Probability (225 citations) and Finance (156 citations). Philippe Picard has collaborated with scholars based in France, Belgium and United Kingdom. Frequent co-authors include Claude Lefèvre, Claude Lefèvre, Jean-Pierre Gabriel, D. Leclercq, A. J. Faulkner, Michel Zivy, G. W. Kant, J.G. Bij de Vaate, H Bricaud and M. Rabaud. Their work appears in journals such as Journal of Applied Probability, Advances in Applied Probability, Tetrahedron Letters, Journal of Peptide Science and Mathematical Biosciences.
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.