Ousmane Seydi

1.2k total citations
26 papers, 648 citations indexed

About

Ousmane Seydi is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Ousmane Seydi has authored 26 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 12 papers in Modeling and Simulation and 7 papers in Infectious Diseases. Recurrent topics in Ousmane Seydi's work include Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), COVID-19 epidemiological studies (9 papers) and Evolution and Genetic Dynamics (6 papers). Ousmane Seydi is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), COVID-19 epidemiological studies (9 papers) and Evolution and Genetic Dynamics (6 papers). Ousmane Seydi collaborates with scholars based in France, United States and China. Ousmane Seydi's co-authors include Pierre Magal, Glenn F. Webb, Zhihua Liu, Zhihua Liu, Moussa Seydi, Arnaud Ducrot, Feng‐Bin Wang, Zhihua Liu, Quentin Griette and Yixiang Wu and has published in prestigious journals such as PLoS Computational Biology, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.

In The Last Decade

Ousmane Seydi

23 papers receiving 623 citations

Peers

Ousmane Seydi

PHEOH

EPIDE

Faïçal Ndaïrou Portugal

Attila Dénes Hungary

Miriam R. Ferrández Spain

Anupam Khatua India

Swapan Kumar Nandi India

Manotosh Mandal India

Dina Mistry United States

Enahoro Iboi United States

Jayanta Mondal India

David Champredon Canada

Faïçal Ndaïrou Portugal

Ousmane Seydi

544 ×1.0

188 ×0.7

279 ×1.1

PHEOH

108 ×0.7

43 ×0.6

EPIDE

Citations per year, relative to Ousmane Seydi Ousmane Seydi (= 1×) peers Faïçal Ndaïrou

Countries citing papers authored by Ousmane Seydi

Since Specialization

Citations

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

Fields of papers citing papers by Ousmane Seydi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ousmane Seydi

This figure shows the co-authorship network connecting the top 25 collaborators of Ousmane Seydi. A scholar is included among the top collaborators of Ousmane Seydi 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 Ousmane Seydi. Ousmane Seydi 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

Djidjou‐Demasse, Ramsès, Ousmane Seydi, & Alain Rapaport. (2025). Evolutionary Attractors in the Chemostat Model. SIAM Journal on Applied Mathematics. 85(6). 2459–2485.

Ducrot, Arnaud, et al.. (2025). Mathematical modelling and analysis of the adaptive dynamics in mosquito populations: uniform persistence of malaria infection. Journal of Mathematical Biology. 90(4). 44–44. 1 indexed citations

Chevillon, Christine, Ousmane Seydi, Jennifer L. Pechal, et al.. (2024). Understanding the transmission of bacterial agents of sapronotic diseases using an ecosystem-based approach: A first spatially realistic metacommunity model. PLoS Computational Biology. 20(9). e1012435–e1012435. 1 indexed citations

Mendy, Angelico, et al.. (2023). Linking within- and between-host scales for understanding the evolutionary dynamics of quantitative antimicrobial resistance. Journal of Mathematical Biology. 87(6). 78–78. 2 indexed citations

Djidjou‐Demasse, Ramsès, et al.. (2023). Growth bound and threshold dynamic for nonautonomous nondensely defined evolution problems. Journal of Mathematical Biology. 87(2). 32–32.

Liu, Zhihua, et al.. (2020). Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data. Mathematical Biosciences & Engineering. 17(4). 3040–3051. 105 indexed citations

Magal, Pierre, et al.. (2020). A COVID-19 epidemic model with latency period. Infectious Disease Modelling. 5. 323–337. 168 indexed citations

Liu, Zhihua, Pierre Magal, Ousmane Seydi, & Glenn F. Webb. (2020). Understanding Unreported Cases in the COVID-19 Epidemic Outbreak in Wuhan, China, and the Importance of Major Public Health Interventions. Biology. 9(3). 50–50. 157 indexed citations

Liu, Zhihua, Pierre Magal, Ousmane Seydi, & Glenn F. Webb. (2020). Predicting the Cumulative Number of Cases for the COVID-19 Epidemic in China from Early Data. SSRN Electronic Journal. 5 indexed citations

10.

Liu, Zhihua, Pierre Magal, Ousmane Seydi, & Glenn F. Webb. (2020). Understanding Unreported Cases in the 2019-nCov Epidemic Outbreak in Wuhan, China, and the Importance of Major Public Health Interventions. 23 indexed citations

11.

Liu, Zhihua, Pierre Magal, Ousmane Seydi, & Glenn F. Webb. (2020). Understanding Unreported Cases in the 2019-Ncov Epidemic Outbreak in Wuhan, China, and the Importance of Major Public Health Interventions (中国武汉新冠疫情中未报告有症状病例的数量及公共卫生防控措施重要性的研究). SSRN Electronic Journal. 7 indexed citations

12.

Magal, Pierre & Ousmane Seydi. (2019). Persistence of a normally hyperbolic manifold for a system of non densely defined Cauchy problems. Journal of Differential Equations. 267(5). 2950–3008. 2 indexed citations

13.

Magal, Pierre, Ousmane Seydi, & Feng‐Bin Wang. (2019). Monotone abstract non-densely defined Cauchy problems applied to age structured population dynamic models. Journal of Mathematical Analysis and Applications. 479(1). 450–481. 18 indexed citations

14.

Magal, Pierre, Ousmane Seydi, & Glenn F. Webb. (2018). Final size of a multi-group SIR epidemic model: Irreducible and non-irreducible modes of transmission. Mathematical Biosciences. 301. 59–67. 24 indexed citations

15.

Diagne, Mamadou Lamine, et al.. (2018). A MATHEMATICAL MODEL FOR THE IMPACT OF PUBLIC HEALTH EDUCATION CAMPAIGN FOR TUBERCULOSIS. 100(2). 97–138. 3 indexed citations

16.

Magal, Pierre, Ousmane Seydi, & Glenn F. Webb. (2016). Final Size of an Epidemic for a Two-Group SIR Model. SIAM Journal on Applied Mathematics. 76(5). 2042–2059. 40 indexed citations

17.

Ducrot, Arnaud, Pierre Magal, & Ousmane Seydi. (2016). Singular perturbation for an abstract non-densely defined Cauchy problem. Journal of Evolution Equations. 17(3). 1089–1128. 6 indexed citations

18.

Ducrot, Arnaud, Pierre Magal, & Ousmane Seydi. (2015). Persistence of Exponential Trichotomy for Linear Operators: A Lyapunov–Perron Approach. Journal of Dynamics and Differential Equations. 28(1). 93–126. 7 indexed citations

19.

Webb, Glenn F., et al.. (2015). A Model of the 2014 Ebola Epidemic in West Africa with Contact Tracing. PLoS Currents. 49 indexed citations

20.

Ducrot, Arnaud, Pierre Magal, & Ousmane Seydi. (2014). A Finite-time Condition for Exponential Trichotomy in Infinite Dynamical Systems. Canadian Journal of Mathematics. 67(5). 1065–1090. 5 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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