Michael Chapwanya

495 total citations
36 papers, 370 citations indexed

About

Michael Chapwanya is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Michael Chapwanya has authored 36 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Modeling and Simulation, 13 papers in Public Health, Environmental and Occupational Health and 6 papers in Genetics. Recurrent topics in Michael Chapwanya's work include Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), Fractional Differential Equations Solutions (7 papers) and Mathematical Biology Tumor Growth (7 papers). Michael Chapwanya is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), Fractional Differential Equations Solutions (7 papers) and Mathematical Biology Tumor Growth (7 papers). Michael Chapwanya collaborates with scholars based in South Africa, Ireland and Cameroon. Michael Chapwanya's co-authors include Jean Lubuma, A. C. Fowler, Ronald E. Mickens, Chris D. Clark, N.N. Misra, John M. Stockie, Berge Tsanou, Yves Dumont, Appanah Rao Appadu and Mark McGuinness and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Food Engineering.

In The Last Decade

Michael Chapwanya

35 papers receiving 359 citations

Peers

Michael Chapwanya
Comparison fields: 5 of 75
  • Modeling and Simulation 142
  • Numerical Analysis 79
  • Public Health, Environmental and Occupational Health 74
  • Atmospheric Science 67
  • Management, Monitoring, Policy and Law 50
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Citations per field, relative to Michael Chapwanya
Michael Chapwanya · 1×
Citations per year, relative to Michael Chapwanya
Michael Chapwanya · 1×

Countries citing papers authored by Michael Chapwanya

Since Specialization
Citations

This map shows the geographic impact of Michael Chapwanya'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 Michael Chapwanya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Chapwanya more than expected).

Fields of papers citing papers by Michael Chapwanya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Chapwanya. 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 Michael Chapwanya. The network helps show where Michael Chapwanya may publish in the future.

Co-authorship network of co-authors of Michael Chapwanya

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Chapwanya. A scholar is included among the top collaborators of Michael Chapwanya 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 Michael Chapwanya. Michael Chapwanya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 1
3 8
4 8
5 9
6 15
7 14
8 4
9 9
10 10
11 1
12 7
13 0
14 16
15 26
16 1
17 23
18 20
19
Modeling of Autothermal Thermophylic Aerobic Digestion
2
20 1

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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