David Malonza

416 citations
25 papers · 304 · h-index 8

Impact in

Papers in

David Malonza

22 papers receiving 293 citations

Peers

David Malonza
Comparison fields: 5 of 61
  • Modeling and Simulation 138
  • Public Health, Environmental and Occupational Health 167
  • Endocrinology 28
  • Computational Mathematics 3
  • Geometry and Topology 39
Replace Fatma Bozkurt with:
Fatma Bozkurt Türkiye
Daniela Araya Chile
Peter J. Witbooi South Africa
János Karsai Hungary
Hamadjam Abboubakar Cameroon
Getachew Teshome Tilahun Ethiopia
C. W. Chukwu South Africa
Umar Tasiu Mustapha Cyprus
Ernest Yankson Ghana
David Malonza relative to Fatma Bozkurt Türkiye Fatma Bozkurt's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Malonza

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David Malonza Line = papers co-authored together David Malonza links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201776
2 201759
3 201758
4 201019
5 200913
6 201512
7 201811
8
A Model for Childhood Pneumonia Dynamics
20149
9 20237
10 20187
11 20237
12 20046
13 20125
14 20193
15 20242
16 20122
17 20102
18
Ring of Invariants Systems with Linear Part N (3)n
20131
19 20201
20 20221

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 304 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), Fractional Differential Equations Solutions (2 papers), Optimization and Variational Analysis (2 papers), Nonlinear Waves and Solitons (2 papers) and Advanced Differential Equations and Dynamical Systems (2 papers). The work is most often cited by research in Modeling and Simulation (138 citations), Public Health, Environmental and Occupational Health (167 citations), Endocrinology (28 citations), Computational Mathematics (3 citations) and Geometry and Topology (39 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, Faraimunashe Chirove, Winifred N. Mutuku, Megan A. Rúa, Farai Nyabadza and Terdsak Yano. 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.

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