Philippe Laurençot

4.8k total citations
180 papers, 2.6k citations indexed

About

Philippe Laurençot is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Philippe Laurençot has authored 180 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Applied Mathematics, 80 papers in Computational Theory and Mathematics and 46 papers in Mathematical Physics. Recurrent topics in Philippe Laurençot's work include Advanced Mathematical Modeling in Engineering (80 papers), Nonlinear Partial Differential Equations (53 papers) and Mathematical Biology Tumor Growth (46 papers). Philippe Laurençot is often cited by papers focused on Advanced Mathematical Modeling in Engineering (80 papers), Nonlinear Partial Differential Equations (53 papers) and Mathematical Biology Tumor Growth (46 papers). Philippe Laurençot collaborates with scholars based in France, Germany and Spain. Philippe Laurençot's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications in Mathematical Physics and SIAM Journal on Numerical Analysis.

In The Last Decade

Philippe Laurençot

169 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philippe Laurençot France 27 919 878 854 589 416 180 2.6k
Stephan Luckhaus Germany 22 910 1.0× 1.4k 1.6× 984 1.2× 468 0.8× 33 0.1× 58 2.8k
Jan Prüß Germany 36 438 0.5× 2.2k 2.6× 2.6k 3.1× 1.8k 3.0× 70 0.2× 129 4.7k
Stéphane Mischler France 23 412 0.4× 170 0.2× 665 0.8× 434 0.7× 118 0.3× 55 1.5k
H. Gajewski Germany 17 356 0.4× 965 1.1× 732 0.9× 478 0.8× 14 0.0× 105 2.2k
Miguel Escobedo Spain 25 245 0.3× 807 0.9× 1.4k 1.7× 836 1.4× 145 0.3× 81 2.1k
Francis Filbet France 25 348 0.4× 233 0.3× 1.1k 1.3× 134 0.2× 152 0.4× 68 2.4k
Emmanuel Grenier France 23 248 0.3× 185 0.2× 983 1.2× 529 0.9× 18 0.0× 69 2.0k
Alina Chertock United States 21 409 0.4× 199 0.2× 306 0.4× 103 0.2× 8 0.0× 60 1.4k
Enzo Orsingher Italy 25 968 1.1× 109 0.1× 735 0.9× 630 1.1× 32 0.1× 144 2.2k
Jesús Ildefonso Díaz Díaz Spain 29 254 0.3× 2.1k 2.4× 2.3k 2.7× 1.0k 1.8× 4 0.0× 256 3.5k

Countries citing papers authored by Philippe Laurençot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Laurençot, Philippe, et al.. (2025). Well-posedness of the growth-coagulation equation with singular kernels. Nonlinear Analysis Real World Applications. 84. 104300–104300.
2.
Laurençot, Philippe, et al.. (2024). The continuous collision-induced nonlinear fragmentation equation with non-integrable fragment daughter distributions. Journal of Differential Equations. 403. 235–271.
3.
Laurençot, Philippe, et al.. (2023). A nonlocal Gray-Scott model: Well-posedness and diffusive limit. Discrete and Continuous Dynamical Systems - S. 16(12). 3709–3732.
4.
Laurençot, Philippe, et al.. (2023). Well-posedness of the discrete collision-induced breakage equation with unbounded fragment distribution. Nonlinear Analysis Real World Applications. 75. 103967–103967. 2 indexed citations
5.
Laurençot, Philippe & Bogdan–Vasile Matioc. (2023). Weak-strong uniqueness for a class of degenerate parabolic cross-diffusion systems. Archivum Mathematicum. 201–213. 1 indexed citations
6.
Laurençot, Philippe, et al.. (2023). Finite time extinction for a diffusion equation with spatially inhomogeneous strong absorption. Differential and Integral Equations. 36(11/12). 2 indexed citations
7.
Laurençot, Philippe & Christoph Walker. (2021). The fragmentation equation with size diffusion: Small and large size behavior of stationary solutions. Kinetic and Related Models. 14(6). 961–961. 2 indexed citations
8.
Laurençot, Philippe & Christoph Walker. (2020). Stationary solutions to a nonlocal fourth-order elliptic obstacle\n problem. arXiv (Cornell University). 1 indexed citations
9.
Laurençot, Philippe, et al.. (2020). Energy minimizers for an asymptotic MEMS model with heterogeneous\n dielectric properties. arXiv (Cornell University). 3 indexed citations
10.
Laurençot, Philippe. (2019). Mass-conserving solutions to coagulation-fragmentation equations with\n balanced growth. arXiv (Cornell University). 2 indexed citations
11.
Laurençot, Philippe. (2019). Stationary solutions to coagulation-fragmentation equations. arXiv (Cornell University). 2 indexed citations
12.
Laurençot, Philippe. (2018). Global bounded and unbounded solutions to a chemotaxis system with\n indirect signal production. arXiv (Cornell University). 21 indexed citations
13.
Laurençot, Philippe & Bogdan–Vasile Matioc. (2015). Finite speed of propagation and waiting time for a thin film Muskat\n problem. arXiv (Cornell University). 5 indexed citations
14.
Laurençot, Philippe & Bogdan–Vasile Matioc. (2014). A thin film approximation of the Muskat problem with gravity and capillary forces. Journal of the Mathematical Society of Japan. 66(4). 10 indexed citations
15.
Cieślak, Tomasz & Philippe Laurençot. (2009). Finite time blow-up for a one-dimensional quasilinear parabolic–parabolic chemotaxis system. Annales de l Institut Henri Poincaré C Analyse Non Linéaire. 27(1). 437–446. 91 indexed citations
16.
Laurençot, Philippe, et al.. (2007). Gradient estimates for a degenerate parabolic equation with gradient absorption and applications. Journal of Functional Analysis. 254(3). 851–878. 20 indexed citations
17.
Laurençot, Philippe. (2003). Decay of mass for a semilinear parabolic system: the critical case. Osaka Journal of Mathematics. 40(1). 271–278. 1 indexed citations
18.
Laurençot, Philippe, et al.. (2002). Extinction and non‐extinction for viscous Hamilton–Jacobi equations in $\mathbb{R}$N. Asymptotic Analysis. 31. 229–246. 17 indexed citations
19.
Krejčı́, Pavel & Philippe Laurençot. (2000). Hysteresis filtering in the space of bounded measurable functions. Open MIND. 755–772. 4 indexed citations
20.
Laurençot, Philippe. (1998). Weak Solutions to a Penrose-Fife Model with Fourier Law for the Temperature. Journal of Mathematical Analysis and Applications. 219(2). 331–343. 15 indexed citations

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.

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