David Malonza
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Fractional Differential Equations Solutions
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- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
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- Mathematical and Theoretical Epidemiology and Ecology Models 11
- Genetics 7
- Evolution and Genetic Dynamics 7
- Co-authors
- Getachew Teshome Tilahun (3 shared papers)Oluwole Daniel Makinde (4 shared papers)Eric U. Ofoedu (1 shared paper)James Murdock (1 shared paper)Habtu Zegeye (1 shared paper)Farai Nyabadza (1 shared paper)Megan A. Rúa (1 shared paper)Faraimunashe Chirove (1 shared paper)
- Journals
- Applied Mathematics and Computation (2 papers)Journal of Biological Dynamics (1 paper)Biosystems (1 paper)BioMed Research International (1 paper)Journal of Differential Equations (1 paper)
- Partner nations
- KenyaSouth AfricaUnited States
In The Last Decade
David Malonza
22 papers receiving 281 citations
Peers
Comparison fields: 5 of 62
- Modeling and Simulation 136
- Public Health, Environmental and Occupational Health 164
- Endocrinology 28
- Computational Mathematics 3
- Geometry and Topology 38
Countries citing papers authored by David Malonza
This map shows the geographic impact of David Malonza'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 David Malonza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Malonza more than expected).
Fields of papers citing papers by David Malonza
This network shows the impact of papers produced by David Malonza. 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 David Malonza. The network helps show where David Malonza may publish in the future.
Co-authors
The 12 scholars most cited alongside David Malonza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 72 | |
| 2 | 2017 | 57 | |
| 3 | 2017 | 56 | |
| 4 | 2010 | 18 | |
| 5 | 2009 | 13 | |
| 6 | 2015 | 12 | |
| 7 | 2018 | 11 | |
| 8 | A Model for Childhood Pneumonia Dynamics | 2014 | 9 |
| 9 | 2023 | 7 | |
| 10 | 2023 | 7 | |
| 11 | 2018 | 7 | |
| 12 | 2004 | 6 | |
| 13 | 2012 | 5 | |
| 14 | 2019 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2010 | 2 | |
| 17 | 2012 | 2 | |
| 18 | Ring of Invariants Systems with Linear Part N (3)n | 2013 | 1 |
| 19 | 2022 | 1 | |
| 20 | 2020 | 1 |
About David Malonza
David Malonza is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Geometry and Topology and Statistical and Nonlinear Physics, having authored 25 papers that have together received 295 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Evolution and Genetic Dynamics (7 papers), COVID-19 epidemiological studies (5 papers), Quantum chaos and dynamical systems (3 papers), Plant Virus Research Studies (2 papers), Fixed Point Theorems Analysis (2 papers), Optimization and Variational Analysis (2 papers) and Nonlinear Waves and Solitons (2 papers). The work is most often cited by research in Modeling and Simulation (136 citations), Public Health, Environmental and Occupational Health (164 citations), Endocrinology (28 citations), Computational Mathematics (3 citations) and Geometry and Topology (38 citations). David Malonza has collaborated with scholars based in Kenya, South Africa and United States. Frequent co-authors include Getachew Teshome Tilahun, Oluwole Daniel Makinde, Eric U. Ofoedu, James Murdock, Habtu Zegeye, Farai Nyabadza, Megan A. Rúa, Faraimunashe Chirove, Winifred N. Mutuku and Samuel Mwalili. Their work appears in journals such as Applied Mathematics and Computation, Journal of Biological Dynamics, Biosystems, BioMed Research International and Journal of Differential Equations.
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.