David Malonza
- Public Health, Environmental and Occupational Health top 10%
- Modeling and Simulation top 2%
- Infectious Diseases
- Genetics
- Geometry and Topology top 10%
- Co-authors
- Getachew Teshome TilahunOluwole Daniel MakindeEric U. OfoeduJames MurdockHabtu ZegeyeWinifred N. MutukuFarai NyabadzaFaraimunashe Chirove
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (11 papers)Evolution and Genetic Dynamics (7 papers)COVID-19 epidemiological studies (5 papers)
- Journals
- BioMed Research InternationalApplied Mathematics and ComputationJournal of Differential Equations
- Partner nations
- KenyaSouth AfricaUnited States
In The Last Decade
David Malonza
22 papers receiving 281 citations
Peers
Comparison fields: 5 of 62
- Public Health, Environmental and Occupational Health 164
- Modeling and Simulation 136
- Infectious Diseases 49
- Genetics 40
- 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-authorship network of co-authors of David Malonza
This figure shows the co-authorship network connecting the top 25 collaborators of David Malonza. A scholar is included among the top collaborators of David Malonza 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 David Malonza. David Malonza 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 | 2 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 11 | |
| 11 | 72 | |
| 12 | 56 | |
| 13 | A Model for Childhood Pneumonia Dynamics | 9 |
| 14 | Ring of Invariants Systems with Linear Part N (3)n | 1 |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 18 | |
| 19 | 13 | |
| 20 | 6 |
About David Malonza
David Malonza is a scholar working on Modeling and Simulation, Geometry and Topology and Public Health, Environmental and Occupational Health, 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) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Modeling and Simulation (136 citations), Public Health, Environmental and Occupational Health (164 citations) and Endocrinology (28 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, Winifred N. Mutuku, Farai Nyabadza, Faraimunashe Chirove, Megan A. Rúa and Terdsak Yano. Their work appears in journals such as BioMed Research International, Applied Mathematics and Computation 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.