Mark Kimathi
- Modeling and Simulation top 1%
- Biomedical Engineering
- Mechanical Engineering
- Public Health, Environmental and Occupational Health
- Computational Mechanics top 10%
- Co-authors
- Viona OjiamboDuncan Kioi GathunguSamuel MwaliliRachel Waema MbogoWinifred N. MutukuIsaac Lare AnimasaunAbayomi Samuel OkeLivingstone S. Luboobi
- Topics
- Nanofluid Flow and Heat Transfer (9 papers)COVID-19 epidemiological studies (8 papers)Heat Transfer Mechanisms (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Mathematics and ComputationComputers & Mathematics with Applications
In The Last Decade
Mark Kimathi
26 papers receiving 501 citations
Peers
Comparison fields: 5 of 68
- Modeling and Simulation 255
- Biomedical Engineering 177
- Mechanical Engineering 138
- Public Health, Environmental and Occupational Health 128
- Computational Mechanics 122
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-authorship network of co-authors of Mark Kimathi
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Kimathi. A scholar is included among the top collaborators of Mark Kimathi 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 Mark Kimathi. Mark Kimathi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 66 | |
| 6 | 8 | |
| 7 | 23 | |
| 8 | 46 | |
| 9 | 167 | |
| 10 | 15 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | A mathematical model of angular two-phase Jeffery Hamel flow in a geothermal pipe | 1 |
| 15 | 32 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Unsteady hydromagnetic flow between parallel plates both moving in the presence of a constant pressuregradient | 2 |
| 19 | A Study of Solutions to Euler Equations for a One Dimensional Unsteady Flow | 1 |
| 20 | 29 |
About Mark Kimathi
Mark Kimathi is a scholar working on Modeling and Simulation, Computational Mechanics and Mechanical Engineering, having authored 26 papers that have together received 513 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (9 papers), COVID-19 epidemiological studies (8 papers) and Heat Transfer Mechanisms (6 papers). The work is most often cited by research in Modeling and Simulation (255 citations), Computational Mechanics (122 citations) and Fluid Flow and Transfer Processes (29 citations). Mark Kimathi has collaborated with scholars based in Kenya, Nigeria and Uganda. Frequent co-authors include Viona Ojiambo, Duncan Kioi Gathungu, Samuel Mwalili, Rachel Waema Mbogo, Winifred N. Mutuku, Isaac Lare Animasaun, Abayomi Samuel Oke, Livingstone S. Luboobi, S. Saleem and Nehad Ali Shah. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Mathematics and Computation and Computers & Mathematics with Applications.
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.