Mark Kimathi
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Fractional Differential Equations Solutions
- Computational Mechanics top 10%
- Fluid Dynamics and Turbulent Flows
Papers in
-
- Heat Transfer Mechanisms 6
- Heat Transfer and Optimization 3
-
- COVID-19 epidemiological studies 9
- Co-authors
- Viona Ojiambo (6 shared papers)Samuel Mwalili (5 shared papers)Duncan Kioi Gathungu (4 shared papers)Rachel Waema Mbogo (1 shared paper)Abayomi Samuel Oke (4 shared papers)Winifred N. Mutuku (4 shared papers)Isaac Lare Animasaun (3 shared papers)Livingstone S. Luboobi (2 shared papers)
In The Last Decade
Mark Kimathi
27 papers receiving 516 citations
Peers
Comparison fields: 5 of 67
- Modeling and Simulation 255
- Computational Mechanics 124
- Public Health, Environmental and Occupational Health 129
- Fluid Flow and Transfer Processes 30
- Infectious Diseases 81
Countries citing papers authored by Mark Kimathi
This map shows the geographic impact of Mark 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 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 Kimathi more than expected).
Fields of papers citing papers by Mark Kimathi
This network shows the impact of papers produced by Mark 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 Kimathi. The network helps show where Mark Kimathi may publish in the future.
Co-authors
The 16 scholars most cited alongside Mark Kimathi, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 171 | |
| 2 | 2021 | 65 | |
| 3 | 2020 | 48 | |
| 4 | 2018 | 32 | |
| 5 | 2012 | 29 | |
| 6 | 2020 | 25 | |
| 7 | 2020 | 25 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 16 | |
| 10 | 2022 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2019 | 5 | |
| 17 | A study of two-phase Jeffery Hamel flow in a geothermal pipe | 2018 | 5 |
| 18 | 2019 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2017 | 2 |
About Mark Kimathi
Mark Kimathi is a scholar working on Mechanical Engineering, Modeling and Simulation, Biomedical Engineering, Computational Mechanics and Epidemiology, having authored 29 papers that have together received 523 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), Nanofluid Flow and Heat Transfer (9 papers), Heat Transfer Mechanisms (6 papers), Fluid Dynamics and Turbulent Flows (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Heat Transfer and Optimization (3 papers), Influenza Virus Research Studies (3 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Modeling and Simulation (255 citations), Computational Mechanics (124 citations), Public Health, Environmental and Occupational Health (129 citations), Fluid Flow and Transfer Processes (30 citations) and Infectious Diseases (81 citations). Mark Kimathi has collaborated with scholars based in Kenya, Nigeria and Uganda. Frequent co-authors include Viona Ojiambo, Samuel Mwalili, Duncan Kioi Gathungu, Rachel Waema Mbogo, Abayomi Samuel Oke, Winifred N. Mutuku, Isaac Lare Animasaun, Livingstone S. Luboobi, S. Saleem and Nehad Ali Shah. Their work appears in journals such as Infectious Disease Modelling, BMC Medicine, Applied Mathematics and Computation, Computers & Mathematics with Applications 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.