Jean Lubuma

2.2k total citations
90 papers, 1.6k citations indexed

About

Jean Lubuma is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Jean Lubuma has authored 90 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Public Health, Environmental and Occupational Health, 42 papers in Modeling and Simulation and 27 papers in Genetics. Recurrent topics in Jean Lubuma's work include Mathematical and Theoretical Epidemiology and Ecology Models (44 papers), COVID-19 epidemiological studies (25 papers) and Evolution and Genetic Dynamics (25 papers). Jean Lubuma is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (44 papers), COVID-19 epidemiological studies (25 papers) and Evolution and Genetic Dynamics (25 papers). Jean Lubuma collaborates with scholars based in South Africa, France and Cameroon. Jean Lubuma's co-authors include Roumen Anguelov, Berge Tsanou, Yves Dumont, S. Garba, Kailash C. Patidar, Michael Chapwanya, Abba B. Gumel, Meir Shillor, N. Morris and Ronald E. Mickens and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Theoretical Biology and Chaos Solitons & Fractals.

In The Last Decade

Jean Lubuma

84 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean Lubuma South Africa 23 903 748 352 297 262 90 1.6k
Fabio Milner United States 24 527 0.6× 727 1.0× 204 0.6× 304 1.0× 75 0.3× 82 1.7k
Rashid Jan Saudi Arabia 34 1.5k 1.6× 989 1.3× 274 0.8× 147 0.5× 196 0.7× 190 2.6k
Roumen Anguelov South Africa 17 457 0.5× 458 0.6× 217 0.6× 222 0.7× 59 0.2× 69 1.0k
Muhammad Farman Pakistan 27 1.8k 2.0× 1.0k 1.4× 237 0.7× 113 0.4× 181 0.7× 215 2.8k
Ebenezer Bonyah Pakistan 39 1.3k 1.5× 915 1.2× 208 0.6× 162 0.5× 244 0.9× 228 4.2k
Muhammad Rafiq Pakistan 31 1.9k 2.1× 1.4k 1.9× 253 0.7× 361 1.2× 285 1.1× 280 3.7k
Nauman Ahmed Pakistan 26 1.2k 1.3× 831 1.1× 200 0.6× 217 0.7× 129 0.5× 234 2.2k
Peter Ekkehard Kopp United Kingdom 10 803 0.9× 446 0.6× 53 0.2× 295 1.0× 580 2.2× 22 2.3k
Gauthier Sallet France 24 477 0.5× 615 0.8× 75 0.2× 365 1.2× 83 0.3× 55 1.5k
Mimmo Iannelli Italy 29 1.2k 1.4× 1.4k 1.8× 171 0.5× 558 1.9× 130 0.5× 83 2.5k

Countries citing papers authored by Jean Lubuma

Since Specialization
Citations

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

Fields of papers citing papers by Jean Lubuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Lubuma

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Lubuma. A scholar is included among the top collaborators of Jean Lubuma 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 Jean Lubuma. Jean Lubuma 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.
Artigue, Michèle, et al.. (2024). Pandemic Times: Challenges, Responsibilities and Roles for Mathematics and Mathematics Education Communities. SPIRE - Sciences Po Institutional REpository. 150–165. 1 indexed citations
2.
Tsanou, Berge, et al.. (2024). Nonstandard finite difference schemes for some epidemic optimal control problems. Mathematics and Computers in Simulation. 228. 1–22. 3 indexed citations
3.
Tsanou, Berge, et al.. (2024). A metapopulation model with exit screening measure for the 2014–2016 West Africa Ebola virus outbreak. Mathematical Biosciences. 378. 109321–109321.
4.
Anguelov, Roumen & Jean Lubuma. (2023). Forward invariant set preservation in discrete dynamical systems and numerical schemes for ODEs: application in biosciences. Advances in Continuous and Discrete Models. 2023(1). 2 indexed citations
5.
Tsanou, Berge, et al.. (2020). Coupling the modeling of phage-bacteria interaction and cholera epidemiological model with and without optimal control. Journal of Theoretical Biology. 512. 110537–110537. 3 indexed citations
6.
Tsanou, Berge, et al.. (2020). Mathematical analysis of a spatio‐temporal model for the population ecology of anopheles mosquito. Mathematical Methods in the Applied Sciences. 43(6). 3524–3555. 2 indexed citations
7.
Chapwanya, Michael, et al.. (2018). An explicit nonstandard finite difference scheme for the FitzHugh–Nagumo equations. International Journal of Computer Mathematics. 96(10). 1993–2009. 14 indexed citations
8.
Appadu, Appanah Rao, et al.. (2017). Computational study of three numerical methods for some linear and nonlinear advection-diffusion-reaction problems. Progress in Computational Fluid Dynamics An International Journal. 17(2). 114–114. 18 indexed citations
9.
Lubuma, Jean, et al.. (2016). Global dynamics of a vaccination model for infectious diseases with asymptomatic carriers. Mathematical Biosciences & Engineering. 13(4). 813–840. 10 indexed citations
10.
Lubuma, Jean, et al.. (2015). A Simple Mathematical Model for Ebola in Africa. 2(1). 4 indexed citations
11.
Garba, S., et al.. (2015). Switching from exact scheme to nonstandard finite difference scheme for linear delay differential equation. Applied Mathematics and Computation. 258. 388–403. 12 indexed citations
12.
Garba, S., et al.. (2014). Dynamics ofMycobacteriumandbovine tuberculosisin a Human-Buffalo Population. Computational and Mathematical Methods in Medicine. 2014. 1–20. 12 indexed citations
13.
Chapwanya, Michael, Jean Lubuma, & Ronald E. Mickens. (2013). Nonstandard Discretizations in Cancer Modeling.
14.
Anguelov, Roumen, Yves Dumont, Jean Lubuma, & Meir Shillor. (2013). Dynamically consistent nonstandard finite difference schemes for epidemiological models. Journal of Computational and Applied Mathematics. 255. 161–182. 53 indexed citations
15.
Garba, S., Abba B. Gumel, & Jean Lubuma. (2010). Dynamically-consistent non-standard finite difference method for an epidemic model. Mathematical and Computer Modelling. 53(1-2). 131–150. 32 indexed citations
16.
Djoko, J.K., et al.. (2010). Reliable numerical schemes for a linear diffusion equation on a nonsmooth domain. Applied Mathematics Letters. 23(5). 544–548. 7 indexed citations
17.
Lubuma, Jean, et al.. (2008). On non-standard finite difference schemes for initial value problems in ordinary differential equations. International Journal of the Physical Sciences. 3(2). 59–64. 5 indexed citations
18.
Anguelov, Roumen, et al.. (2005). On non-standard finite difference models of reaction-diffusion equations. Journal of Computational and Applied Mathematics. 175(1). 11–29. 24 indexed citations
19.
Anguelov, Roumen, et al.. (2004). On non-standard finite difference models of reaction–diffusion equations. Journal of Computational and Applied Mathematics. 175(1). 11–29. 36 indexed citations
20.
Lubuma, Jean & Serge Nicaise. (1999). Finite element method for elliptic problems with edge singularities. Journal of Computational and Applied Mathematics. 106(1). 145–168. 8 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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