Andrew Omame
- Modeling and Simulation top 0.2%
- Public Health, Environmental and Occupational Health top 2%
- Infectious Diseases top 5%
- Genetics top 10%
- Epidemiology
- Co-authors
- Mujahid AbbasD. OkuonghaeChibueze P. OnyenegechaS. C. InyamaMamadou Lamine DiagneJean M. TchuencheHerieth RwezauraAbdel‐Haleem Abdel‐Aty
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (44 papers)COVID-19 epidemiological studies (33 papers)Fractional Differential Equations Solutions (26 papers)
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthInfectious Diseases
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsFrontiers in Microbiology
In The Last Decade
Andrew Omame
71 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Modeling and Simulation 1.1k
- Public Health, Environmental and Occupational Health 967
- Infectious Diseases 368
- Genetics 181
- Epidemiology 135
Countries citing papers authored by Andrew Omame
This map shows the geographic impact of Andrew Omame'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 Andrew Omame with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Omame more than expected).
Fields of papers citing papers by Andrew Omame
This network shows the impact of papers produced by Andrew Omame. 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 Andrew Omame. The network helps show where Andrew Omame may publish in the future.
Co-authorship network of co-authors of Andrew Omame
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Omame. A scholar is included among the top collaborators of Andrew Omame 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 Andrew Omame. Andrew Omame is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 32 | |
| 12 | 14 | |
| 13 | 6 | |
| 14 | 9 | |
| 15 | 16 | |
| 16 | 38 | |
| 17 | 183 | |
| 18 | 1 | |
| 19 | ON THE EXISTENCE OF A STOCHASTIC MODEL OF TYPHOID FEVER | 7 |
| 20 | 42 |
About Andrew Omame
Andrew Omame is a scholar working on Modeling and Simulation, Virology and Public Health, Environmental and Occupational Health, having authored 77 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 (33 papers) and Fractional Differential Equations Solutions (26 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Public Health, Environmental and Occupational Health (967 citations) and Infectious Diseases (368 citations). Andrew Omame has collaborated with scholars based in Nigeria, Pakistan and Taiwan. Frequent co-authors include Mujahid Abbas, D. Okuonghae, Chibueze P. Onyenegecha, S. C. Inyama, Mamadou Lamine Diagne, Jean M. Tchuenche, Herieth Rwezaura, Abdel‐Haleem Abdel‐Aty, F. D. Zaman and Abiodun O. Ajibade. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Microbiology.
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.