Mark E. M. Kimathi

799 citations
33 papers · 570 · h-index 12

Impact in

Papers in

Mark E. M. Kimathi

30 papers receiving 557 citations

Peers

Mark E. M. Kimathi
Comparison fields: 5 of 46
  • Modeling and Simulation 197
  • Public Health, Environmental and Occupational Health 193
  • Biomedical Engineering 168
  • Computational Mechanics 53
  • Numerical Analysis 6
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Citations per field
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Citations per year

Countries citing papers authored by Mark E. M. Kimathi

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. M. Kimathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. M. Kimathi. 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 Mark E. M. Kimathi. The network helps show where Mark E. M. Kimathi may publish in the future.

Co-authors

The 16 scholars most cited alongside Mark E. M. Kimathi, 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 Mark E. M. Kimathi Line = papers co-authored together Mark E. M. Kimathi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020193
2 202165
3 202049
4 201837
5 201232
6 202027
7 202025
8 202023
9 202017
10 202215
11 202014
12 202013
13 20209
14 20208
15 20187
16
A study of two-phase Jeffery Hamel flow in a geothermal pipe
20185
17 20195
18 20194
19 20214
20 20173

About Mark E. M. Kimathi

Mark E. M. Kimathi is a scholar working on Modeling and Simulation, Computational Mechanics, Biomedical Engineering, Public Health, Environmental and Occupational Health and Applied Mathematics, having authored 33 papers that have together received 570 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Fluid dynamics and aerodynamics studies (9 papers), COVID-19 epidemiological studies (5 papers), Heat Transfer and Numerical Methods (3 papers), Heat and Mass Transfer in Porous Media (3 papers), Navier-Stokes equation solutions (2 papers) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Modeling and Simulation (197 citations), Public Health, Environmental and Occupational Health (193 citations), Biomedical Engineering (168 citations), Computational Mechanics (53 citations) and Numerical Analysis (6 citations). Mark E. M. Kimathi has collaborated with scholars based in Kenya, Nigeria and Uganda. Frequent co-authors include Duncan Kioi Gathungu, Samuel Musili Mwalili, Rachel Waema Mbogo, Abayomi Samuel Oke, Winifred Nduku Mutuku, Isaac Lare Animasaun, Livingstone Serwadda Luboobi, Raul Borsche, Axel Klar and S. Saleem. Their work appears in journals such as Applied Mathematics and Computation, Computers & Mathematics with Applications, Infectious Disease Modelling, BMC Medicine and Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science.

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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