Steady Mushayabasa
- Public Health, Environmental and Occupational Health top 2%
- Modeling and Simulation top 0.5%
- Infectious Diseases top 5%
- Genetics top 10%
- Epidemiology
- Co-authors
- C. P. BhunuJean M. TchuencheJin WangRobert J. SmithJames M. HymanHristo V. KojouharovMlamuli DhlaminiGesham Magombedze
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (56 papers)COVID-19 epidemiological studies (26 papers)Evolution and Genetic Dynamics (21 papers)
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthInfectious Diseases
- Journals
- SHILAP Revista de lepidopterologíaBioMed Research InternationalJournal of Mathematical Analysis and Applications
- Partner nations
- ZimbabweTanzaniaSouth Sudan
In The Last Decade
Steady Mushayabasa
89 papers receiving 938 citations
Peers
Comparison fields: 5 of 101
- Public Health, Environmental and Occupational Health 594
- Modeling and Simulation 363
- Infectious Diseases 263
- Genetics 203
- Epidemiology 196
Countries citing papers authored by Steady Mushayabasa
This map shows the geographic impact of Steady Mushayabasa'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 Steady Mushayabasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steady Mushayabasa more than expected).
Fields of papers citing papers by Steady Mushayabasa
This network shows the impact of papers produced by Steady Mushayabasa. 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 Steady Mushayabasa. The network helps show where Steady Mushayabasa may publish in the future.
Co-authorship network of co-authors of Steady Mushayabasa
This figure shows the co-authorship network connecting the top 25 collaborators of Steady Mushayabasa. A scholar is included among the top collaborators of Steady Mushayabasa 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 Steady Mushayabasa. Steady Mushayabasa 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 | 1 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | 2 | |
| 9 | 27 | |
| 10 | 12 | |
| 11 | 20 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 40 | |
| 16 | 2 | |
| 17 | 27 | |
| 18 | 10 | |
| 19 | 7 | |
| 20 | 31 |
About Steady Mushayabasa
Steady Mushayabasa is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 92 papers that have together received 999 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (56 papers), COVID-19 epidemiological studies (26 papers) and Evolution and Genetic Dynamics (21 papers). The work is most often cited by research in Modeling and Simulation (363 citations), Public Health, Environmental and Occupational Health (594 citations) and Infectious Diseases (263 citations). Steady Mushayabasa has collaborated with scholars based in Zimbabwe, Tanzania and South Sudan. Frequent co-authors include C. P. Bhunu, Jean M. Tchuenche, Jin Wang, Robert J. Smith, James M. Hyman, Hristo V. Kojouharov, Mlamuli Dhlamini, Gesham Magombedze, Senelani D. Hove‐Musekwa and Mhosisi Masocha. Their work appears in journals such as SHILAP Revista de lepidopterología, BioMed Research International and Journal of Mathematical Analysis and Applications.
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.