Delphine Salort

560 total citations
34 papers, 361 citations indexed

About

Delphine Salort is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Delphine Salort has authored 34 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistical and Nonlinear Physics, 13 papers in Cognitive Neuroscience and 10 papers in Computer Networks and Communications. Recurrent topics in Delphine Salort's work include stochastic dynamics and bifurcation (16 papers), Neural dynamics and brain function (13 papers) and Advanced Mathematical Physics Problems (8 papers). Delphine Salort is often cited by papers focused on stochastic dynamics and bifurcation (16 papers), Neural dynamics and brain function (13 papers) and Advanced Mathematical Physics Problems (8 papers). Delphine Salort collaborates with scholars based in France, United Kingdom and United States. Delphine Salort's co-authors include Benoı̂t Perthame, Khashayar Pakdaman, Didier Smets, José A. Carrillo, María J. Cáceres, Hirokazu Tanimoto, Daria Bonazzi, Bertrand Maury, Ayman Moussa and Delphine Delacour and has published in prestigious journals such as Current Biology, European Journal of Operational Research and Physica D Nonlinear Phenomena.

In The Last Decade

Delphine Salort

34 papers receiving 350 citations

Peers

Delphine Salort

SNP

CNC

Georgi S. Medvedev United States

Grégory Faye France

Aniello Buonocore Italy

J. Inglis United Kingdom

Н. Х. Розов Russia

Jianguo Tan China

Mario Annunziato Italy

A. Yu. Kolesov Russia

Peter De Maesschalck Belgium

Bastien Fernandez France

Georgi S. Medvedev United States

Delphine Salort

273 ×1.3

SNP

148 ×1.0

301 ×3.0

CNC

15 ×0.2

52 ×0.9

Citations per year, relative to Delphine Salort Delphine Salort (= 1×) peers Georgi S. Medvedev

Countries citing papers authored by Delphine Salort

Since Specialization

Citations

This map shows the geographic impact of Delphine Salort'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 Delphine Salort with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Delphine Salort more than expected).

Fields of papers citing papers by Delphine Salort

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Delphine Salort. 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 Delphine Salort. The network helps show where Delphine Salort may publish in the future.

Co-authorship network of co-authors of Delphine Salort

This figure shows the co-authorship network connecting the top 25 collaborators of Delphine Salort. A scholar is included among the top collaborators of Delphine Salort 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 Delphine Salort. Delphine Salort is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Salort, Delphine & Didier Smets. (2024). Convergence towards equilibrium for a model with partial diffusion. Communications in Partial Differential Equations. 49(5-6). 410–427. 2 indexed citations

Perthame, Benoı̂t, et al.. (2022). A multiple time renewal equation for neural assemblies with elapsed time model. Nonlinearity. 35(10). 5051–5075. 7 indexed citations

Ikeda, K., et al.. (2022). Theoretical study of the emergence of periodic solutions for the inhibitory NNLIF neuron model with synaptic delay. HAL (Le Centre pour la Communication Scientifique Directe). Volume 2. 4 indexed citations

Perthame, Benoı̂t, et al.. (2022). Bounds and long term convergence for the voltage-conductance kinetic system arising in neuroscience. Discrete and Continuous Dynamical Systems. 43(3&4). 1366–1382. 6 indexed citations

Salort, Delphine, et al.. (2021). Towards a further understanding of the dynamics in the excitatory NNLIF neuron model: Blow-up and global existence. Kinetic and Related Models. 14(5). 819–819. 9 indexed citations

Cáceres, María J., et al.. (2021). An elapsed time model for strongly coupled inhibitory and excitatory neural networks. Physica D Nonlinear Phenomena. 425. 132977–132977. 5 indexed citations

Nam, Nguyen Thanh Hoai, et al.. (2019). Adaptive dynamics of hematopoietic stem cells and their supporting stroma: a model and mathematical analysis. Mathematical Biosciences & Engineering. 16(5). 4818–4845. 4 indexed citations

Perthame, Benoı̂t & Delphine Salort. (2019). Derivation of a voltage density equation from a voltage-conductance kinetic model for networks of integrate-and-fire neurons. Communications in Mathematical Sciences. 17(5). 1193–1211. 10 indexed citations

Perthame, Benoı̂t & Delphine Salort. (2018). Derivation of an integrate&fire equation for neural networks from a voltage-conductance kinetic model. Université Pierre et Marie CURIE (UPMC). 1 indexed citations

10.

Perthame, Benoı̂t, Delphine Salort, & Gilles Wainrib. (2017). Distributed synaptic weights in a LIF neural network and learning rules. Physica D Nonlinear Phenomena. 353-354. 20–30. 7 indexed citations

11.

Doumic, Marie, et al.. (2017). Toward an integrated workforce planning framework using structured equations. European Journal of Operational Research. 262(1). 217–230. 6 indexed citations

12.

Bonazzi, Daria, et al.. (2015). Actin-Based Transport Adapts Polarity Domain Size to Local Cellular Curvature. Current Biology. 25(20). 2677–2683. 20 indexed citations

13.

Kang, Moon-Jin, Benoı̂t Perthame, & Delphine Salort. (2015). Dynamics of time elapsed inhomogeneous neuron network model. Comptes Rendus Mathématique. 353(12). 1111–1115. 4 indexed citations

14.

Pakdaman, Khashayar, Benoı̂t Perthame, & Delphine Salort. (2014). Adaptation and Fatigue Model for Neuron Networks and Large Time Asymptotics in a Nonlinear Fragmentation Equation. PubMed. 4(1). 14–14. 30 indexed citations

15.

Pakdaman, Khashayar, Benoı̂t Perthame, & Delphine Salort. (2013). Relaxation and Self-Sustained Oscillations in the Time Elapsed Neuron Network Model. SIAM Journal on Applied Mathematics. 73(3). 1260–1279. 38 indexed citations

16.

Perthame, Benoı̂t, et al.. (2013). On a voltage-conductance kinetic system for integrate & fire neural networks. Kinetic and Related Models. 6(4). 841–864. 21 indexed citations

17.

Bernicot, Frédéric, et al.. (2010). A 2-adic approach of the human respiratory tree. Networks and Heterogeneous Media. 5(3). 405–422. 5 indexed citations

18.

Maury, Bertrand, et al.. (2009). Trace theorems for trees and application to the human lungs. Networks and Heterogeneous Media. 4(3). 469–500. 14 indexed citations

19.

Salort, Delphine. (2006). Dispersion and Strichartz estimates for the Liouville equation. Journal of Differential Equations. 233(2). 543–584. 4 indexed citations

20.

Salort, Delphine. (2006). Dispersion and Strichartz estimates for the Liouville equation. Comptes Rendus Mathématique. 342(7). 489–492. 1 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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