Jean Lubuma
- Modeling and Simulation top 0.2%
- Public Health, Environmental and Occupational Health top 2%
- Numerical Analysis top 2%
- Genetics top 10%
- Infectious Diseases top 5%
- Co-authors
- Roumen AnguelovBerge TsanouYves DumontS. GarbaKailash C. PatidarMichael ChapwanyaAbba B. GumelRonald E. Mickens
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (44 papers)COVID-19 epidemiological studies (25 papers)Evolution and Genetic Dynamics (25 papers)
- Cited by
- Modeling and SimulationNumerical AnalysisPublic Health, Environmental and Occupational Health
- Journals
- SHILAP Revista de lepidopterologíaJournal of Theoretical BiologyChaos Solitons & Fractals
- Partner nations
- South AfricaFranceCameroon
In The Last Decade
Jean Lubuma
84 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 903
- Public Health, Environmental and Occupational Health 748
- Numerical Analysis 352
- Genetics 297
- Infectious Diseases 262
Countries citing papers authored by Jean Lubuma
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 53 | |
| 11 | 0 | |
| 12 | 16 | |
| 13 | 32 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 24 | |
| 17 | 36 | |
| 18 | 25 | |
| 19 | 8 | |
| 20 | 16 |
About Jean Lubuma
Jean Lubuma is a scholar working on Modeling and Simulation, Numerical Analysis and Public Health, Environmental and Occupational Health, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (44 papers), COVID-19 epidemiological studies (25 papers) and Evolution and Genetic Dynamics (25 papers). The work is most often cited by research in Modeling and Simulation (903 citations), Numerical Analysis (352 citations) and Public Health, Environmental and Occupational Health (748 citations). Jean Lubuma has collaborated with scholars based in South Africa, France and Cameroon. Frequent co-authors include Roumen Anguelov, Berge Tsanou, Yves Dumont, S. Garba, Kailash C. Patidar, Michael Chapwanya, Abba B. Gumel, Ronald E. Mickens, Meir Shillor and N. Morris. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Theoretical Biology and Chaos Solitons & Fractals.
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.