S.Y. Tchoumi
- Modeling and Simulation top 1%
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 10%
- Genetics
- Epidemiology
- Co-authors
- Jean M. TchuencheHerieth RwezauraMamadou Lamine DiagneJean Claude KamgangAndrew OmameC. W. ChukwuElissa J. SchwartzGauthier Sallet
- Topics
- COVID-19 epidemiological studies (20 papers)Mathematical and Theoretical Epidemiology and Ecology Models (20 papers)Evolution and Genetic Dynamics (9 papers)
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthInfectious Diseases
- Journals
- SHILAP Revista de lepidopterologíaNonlinear DynamicsApplied Mathematical Modelling
- Partner nations
- CameroonSouth AfricaTanzania
In The Last Decade
S.Y. Tchoumi
24 papers receiving 352 citations
Peers
Comparison fields: 5 of 57
- Modeling and Simulation 283
- Public Health, Environmental and Occupational Health 250
- Infectious Diseases 128
- Genetics 67
- Epidemiology 22
Countries citing papers authored by S.Y. Tchoumi
This map shows the geographic impact of S.Y. Tchoumi'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 S.Y. Tchoumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.Y. Tchoumi more than expected).
Fields of papers citing papers by S.Y. Tchoumi
This network shows the impact of papers produced by S.Y. Tchoumi. 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 S.Y. Tchoumi. The network helps show where S.Y. Tchoumi may publish in the future.
Co-authorship network of co-authors of S.Y. Tchoumi
This figure shows the co-authorship network connecting the top 25 collaborators of S.Y. Tchoumi. A scholar is included among the top collaborators of S.Y. Tchoumi 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 S.Y. Tchoumi. S.Y. Tchoumi 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 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 29 | |
| 11 | 49 | |
| 12 | COVID-19 Modeling with Caution in Relaxing Control Measures And Possibilities of Several Peaks in Cameroon | 1 |
| 13 | 11 | |
| 14 | 5 | |
| 15 | 87 | |
| 16 | 1 | |
| 17 | 82 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 3 |
About S.Y. Tchoumi
S.Y. Tchoumi is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 26 papers that have together received 359 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (20 papers), Mathematical and Theoretical Epidemiology and Ecology Models (20 papers) and Evolution and Genetic Dynamics (9 papers). The work is most often cited by research in Modeling and Simulation (283 citations), Public Health, Environmental and Occupational Health (250 citations) and Infectious Diseases (128 citations). S.Y. Tchoumi has collaborated with scholars based in Cameroon, South Africa and Tanzania. Frequent co-authors include Jean M. Tchuenche, Herieth Rwezaura, Mamadou Lamine Diagne, Jean Claude Kamgang, Andrew Omame, C. W. Chukwu, Elissa J. Schwartz, Gauthier Sallet, Taqi A. M. Shatnawi and Gilberto González‐Parra. Their work appears in journals such as SHILAP Revista de lepidopterología, Nonlinear Dynamics and Applied Mathematical Modelling.
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.