Anotida Madzvamuse
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth 11
- Numerical Analysis top 2%
- Differential Equations and Numerical Methods 14
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- Nonlinear Dynamics and Pattern Formation 31
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- Advanced Mathematical Modeling in Engineering 21
- Cell Biology top 5%
- Cellular Mechanics and Interactions 17
- Microtubule and mitosis dynamics 12
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- Mathematical and Theoretical Epidemiology and Ecology Models 14
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- Solidification and crystal growth phenomena 10
- Co-authors
- Philip K. MainiAndrew J. WathenChandrasekhar VenkataramanEamonn A. GaffneyToshio SekimuraCharles M. ElliottParvaiz Ahmad NaikStéphanie Portet
- Partner nations
- United KingdomCanadaSouth Africa
In The Last Decade
Anotida Madzvamuse
78 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Modeling and Simulation 301
- Numerical Analysis 236
- Computer Networks and Communications 590
- Computational Theory and Mathematics 331
- Cell Biology 332
Countries citing papers authored by Anotida Madzvamuse
This map shows the geographic impact of Anotida Madzvamuse'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 Anotida Madzvamuse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anotida Madzvamuse more than expected).
Fields of papers citing papers by Anotida Madzvamuse
This network shows the impact of papers produced by Anotida Madzvamuse. 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 Anotida Madzvamuse. The network helps show where Anotida Madzvamuse may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anotida Madzvamuse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 20 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 6 | |
| 10 | A moving grid finite element method applied to a mechanobiochemical model for 3D cell migration | 2020 | 10 |
| 11 | 2019 | 53 | |
| 12 | 2019 | 93 | |
| 13 | 2018 | 5 | |
| 14 | 2018 | 19 | |
| 15 | A robust and efficient adaptive multigrid solver for the optimal control of phase field formulations of geometric evolution laws | 2017 | 7 |
| 16 | The moving grid finite element method applied to biological problems, In Morphogenesis and Pattern Formation in Biological Systems: Experiments and Models | 2016 | 0 |
| 17 | 2015 | 9 | |
| 18 | 2014 | 79 | |
| 19 | Implicit--explicit timestepping with finite element approximation of reaction--diffusion systems on evolving domains | 2013 | 35 |
| 20 | 2011 | 87 |
About Anotida Madzvamuse
Anotida Madzvamuse is a scholar working on Modeling and Simulation, Numerical Analysis and Cell Biology, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (31 papers), Advanced Mathematical Modeling in Engineering (21 papers), Cellular Mechanics and Interactions (17 papers), Differential Equations and Numerical Methods (14 papers), Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Microtubule and mitosis dynamics (12 papers), Mathematical Biology Tumor Growth (11 papers) and Solidification and crystal growth phenomena (10 papers). The work is most often cited by research in Modeling and Simulation (301 citations), Numerical Analysis (236 citations) and Computer Networks and Communications (590 citations). Anotida Madzvamuse has collaborated with scholars based in United Kingdom, Canada and South Africa. Frequent co-authors include Philip K. Maini, Andrew J. Wathen, Chandrasekhar Venkataraman, Eamonn A. Gaffney, Toshio Sekimura, Charles M. Elliott, Parvaiz Ahmad Naik, Stéphanie Portet, Sania Qureshi and Ivonne Sgura. Their work appears in journals such as Nature, PLoS ONE and Current Biology.
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.