Philippe Laurençot
- Modeling and Simulation top 0.2%
- Computational Theory and Mathematics top 0.5%
- Applied Mathematics top 0.5%
- Mathematical Physics top 1%
- Water Science and Technology top 2%
- Co-authors
- Stéphane MischlerChristoph WalkerFrancis FilbetAdrien BlanchetTomasz CieślakJosé A. CarrilloSaı̈d BenachourDariusz Wrzosek
- Topics
- Advanced Mathematical Modeling in Engineering (80 papers)Nonlinear Partial Differential Equations (53 papers)Mathematical Biology Tumor Growth (46 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications in Mathematical PhysicsSIAM Journal on Numerical Analysis
In The Last Decade
Philippe Laurençot
169 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 88
- Modeling and Simulation 919
- Computational Theory and Mathematics 878
- Applied Mathematics 854
- Mathematical Physics 589
- Water Science and Technology 416
Countries citing papers authored by Philippe Laurençot
This map shows the geographic impact of Philippe Laurençot'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 Laurençot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Laurençot more than expected).
Fields of papers citing papers by Philippe Laurençot
This network shows the impact of papers produced by Philippe Laurençot. 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 Laurençot. The network helps show where Philippe Laurençot may publish in the future.
Co-authorship network of co-authors of Philippe Laurençot
This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Laurençot. A scholar is included among the top collaborators of Philippe Laurençot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philippe Laurençot. Philippe Laurençot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | Stationary solutions to coagulation-fragmentation equations | 2 |
| 12 | 21 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | 91 | |
| 16 | 20 | |
| 17 | 1 | |
| 18 | Extinction and non‐extinction for viscous Hamilton–Jacobi equations in $\mathbb{R}$N | 17 |
| 19 | 4 | |
| 20 | 15 |
About Philippe Laurençot
Philippe Laurençot is a scholar working on Modeling and Simulation, Applied Mathematics and Mathematical Physics, having authored 180 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (80 papers), Nonlinear Partial Differential Equations (53 papers) and Mathematical Biology Tumor Growth (46 papers). The work is most often cited by research in Modeling and Simulation (919 citations), Applied Mathematics (854 citations) and Mathematical Physics (589 citations). Philippe Laurençot has collaborated with scholars based in France, Germany and Spain. Frequent co-authors include Stéphane Mischler, Christoph Walker, Francis Filbet, Adrien Blanchet, Tomasz Cieślak, José A. Carrillo, Saı̈d Benachour, Dariusz Wrzosek, Eduard Feireisl and Pierluigi Colli. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications in Mathematical Physics and SIAM Journal on Numerical Analysis.
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.