Sepideh Mirrahimi

674 total citations
25 papers, 331 citations indexed

About

Sepideh Mirrahimi is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Modeling and Simulation. According to data from OpenAlex, Sepideh Mirrahimi has authored 25 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 21 papers in Public Health, Environmental and Occupational Health and 14 papers in Modeling and Simulation. Recurrent topics in Sepideh Mirrahimi's work include Evolution and Genetic Dynamics (22 papers), Mathematical and Theoretical Epidemiology and Ecology Models (21 papers) and Mathematical Biology Tumor Growth (14 papers). Sepideh Mirrahimi is often cited by papers focused on Evolution and Genetic Dynamics (22 papers), Mathematical and Theoretical Epidemiology and Ecology Models (21 papers) and Mathematical Biology Tumor Growth (14 papers). Sepideh Mirrahimi collaborates with scholars based in France, United States and Japan. Sepideh Mirrahimi's co-authors include Benoı̂t Perthame, Émeric Bouin, G. Raoul, Sylvain Gandon, Joe Yuichiro Wakano, Jean‐Michel Roquejoffre, Vincent Calvez, Nicolas Meunier, Sylvie Méléard and Raphaël Voituriez and has published in prestigious journals such as Genetics, Theoretical Population Biology and Journal of Mathematical Biology.

In The Last Decade

Sepideh Mirrahimi

25 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sepideh Mirrahimi France 12 248 228 211 51 26 25 331
Philipp Getto Germany 9 89 0.4× 161 0.7× 120 0.6× 37 0.7× 26 1.0× 13 307
Zhong Zhao China 12 103 0.4× 252 1.1× 163 0.8× 24 0.5× 29 1.1× 54 393
Émeric Bouin France 8 121 0.5× 154 0.7× 173 0.8× 14 0.3× 51 2.0× 22 269
Gaël Raoul France 11 133 0.5× 209 0.9× 226 1.1× 35 0.7× 33 1.3× 13 415
Ying Su China 10 158 0.6× 349 1.5× 115 0.5× 21 0.4× 20 0.8× 29 434
Laurent Desvillettes France 7 96 0.4× 81 0.4× 97 0.5× 32 0.6× 17 0.7× 7 241
Radouane Yafia France 13 186 0.8× 351 1.5× 225 1.1× 31 0.6× 41 1.6× 36 450
Alan J. Terry United Kingdom 13 135 0.5× 171 0.8× 60 0.3× 40 0.8× 17 0.7× 17 333
Matthieu Alfaro France 14 157 0.6× 290 1.3× 180 0.9× 26 0.5× 25 1.0× 44 477
Sunita Gakkhar India 17 492 2.0× 698 3.1× 146 0.7× 155 3.0× 78 3.0× 40 830

Countries citing papers authored by Sepideh Mirrahimi

Since Specialization
Citations

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

Fields of papers citing papers by Sepideh Mirrahimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sepideh Mirrahimi

This figure shows the co-authorship network connecting the top 25 collaborators of Sepideh Mirrahimi. A scholar is included among the top collaborators of Sepideh Mirrahimi 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 Sepideh Mirrahimi. Sepideh Mirrahimi 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.
Hillairet, Matthieu, et al.. (2024). A moment-based approach for the analysis of the infinitesimal model in the regime of small variance. Kinetic and Related Models. 18(3). 389–425. 3 indexed citations
2.
Calvez, Vincent, et al.. (2022). Non-local competition slows down front acceleration during dispersal evolution. arXiv (Cornell University). 5. 1–71. 6 indexed citations
3.
Mirrahimi, Sepideh, et al.. (2022). Dynamics of Dirac concentrations in the evolution of quantitative alleles with sexual reproduction. Nonlinearity. 35(11). 5781–5812. 3 indexed citations
4.
Mirrahimi, Sepideh, et al.. (2019). Propagation in a fractional reaction-diffusion equation in a periodically hostile environment. arXiv (Cornell University). 2 indexed citations
5.
Mirrahimi, Sepideh & Sylvain Gandon. (2019). Evolution of Specialization in Heterogeneous Environments: Equilibrium Between Selection, Mutation and Migration. Genetics. 214(2). 479–491. 15 indexed citations
6.
Mirrahimi, Sepideh, et al.. (2019). Selection and mutation in a shifting and fluctuating environment. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
7.
Mirrahimi, Sepideh. (2018). Singular limits for models of selection and mutations with heavy-tailed\n mutation distribution. arXiv (Cornell University). 4 indexed citations
8.
Mirrahimi, Sepideh, et al.. (2018). Long Time Evolutionary Dynamics of Phenotypically Structured Populations in Time-Periodic Environments. SIAM Journal on Mathematical Analysis. 50(5). 5537–5568. 12 indexed citations
9.
Mirrahimi, Sepideh. (2016). A Hamilton-Jacobi approach to characterize the evolutionary equilibria\n in heterogeneous environments. arXiv (Cornell University). 14 indexed citations
10.
Gandon, Sylvain & Sepideh Mirrahimi. (2016). A Hamilton–Jacobi method to describe the evolutionary equilibria in heterogeneous environments and with non-vanishing effects of mutations. Comptes Rendus Mathématique. 355(2). 155–160. 10 indexed citations
11.
Mirrahimi, Sepideh & Benoı̂t Perthame. (2015). Asymptotic analysis of a selection model with space. Journal de Mathématiques Pures et Appliquées. 104(6). 1108–1118. 23 indexed citations
12.
Mirrahimi, Sepideh & Jean‐Michel Roquejoffre. (2015). A class of Hamilton-Jacobi equations with constraint: uniqueness and\n constructive approach. arXiv (Cornell University). 15 indexed citations
13.
Mirrahimi, Sepideh & Jean‐Michel Roquejoffre. (2015). Uniqueness in a class of Hamilton–Jacobi equations with constraints. Comptes Rendus Mathématique. 353(6). 489–494. 7 indexed citations
14.
Mirrahimi, Sepideh, Benoı̂t Perthame, & Joe Yuichiro Wakano. (2013). Direct competition results from strong competition for limited resource. Journal of Mathematical Biology. 68(4). 931–949. 15 indexed citations
15.
Mirrahimi, Sepideh & G. Raoul. (2013). Dynamics of sexual populations structured by a space variable and a phenotypical trait. Theoretical Population Biology. 84. 87–103. 25 indexed citations
16.
Bouin, Émeric, Vincent Calvez, Nicolas Meunier, et al.. (2012). Invasion fronts with variable motility: Phenotype selection, spatial sorting and wave acceleration. Comptes Rendus Mathématique. 350(15-16). 761–766. 66 indexed citations
17.
Mirrahimi, Sepideh & Panagiotis E. Souganidis. (2012). A homogenization approach for the motion of motor proteins. Nonlinear Differential Equations and Applications NoDEA. 20(1). 129–147. 7 indexed citations
18.
Mirrahimi, Sepideh, Guy Barles, Benoı̂t Perthame, & Panagiotis E. Souganidis. (2012). A Singular Hamilton--Jacobi Equation Modeling the Tail Problem. SIAM Journal on Mathematical Analysis. 44(6). 4297–4319. 2 indexed citations
19.
Mirrahimi, Sepideh, Benoı̂t Perthame, & Joe Yuichiro Wakano. (2011). Evolution of species trait through resource competition. Journal of Mathematical Biology. 64(7). 1189–1223. 23 indexed citations
20.
Scheeres, Daniel J., Sepideh Mirrahimi, & R. W. Gaskell. (2008). YORP Sensitivity to Shape and Shadowing. LPI. 2348. 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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