Philip K. Maini
- Public Health, Environmental and Occupational Health top 2%
- Modeling and Simulation top 0.5%
- Genetics top 5%
- Computer Networks and Communications top 10%
- Molecular Biology
- Co-authors
- Andrei KorobeinikovJonathan A. SherrattCristina MarcelliSerena MatucciLuisa MalagutiJody R. ReimerMichael B. BonsallJudith Pérez-Velázquez
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (15 papers)Evolution and Genetic Dynamics (8 papers)Mathematical Biology Tumor Growth (6 papers)
- Partner nations
- United KingdomSlovakiaUnited States
In The Last Decade
Philip K. Maini
20 papers receiving 768 citations
Peers
Comparison fields: 5 of 97
- Public Health, Environmental and Occupational Health 603
- Modeling and Simulation 483
- Genetics 365
- Computer Networks and Communications 85
- Molecular Biology 58
Countries citing papers authored by Philip K. Maini
This map shows the geographic impact of Philip K. Maini'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 Philip K. Maini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip K. Maini more than expected).
Fields of papers citing papers by Philip K. Maini
This network shows the impact of papers produced by Philip K. Maini. 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 Philip K. Maini. The network helps show where Philip K. Maini may publish in the future.
Co-authorship network of co-authors of Philip K. Maini
This figure shows the co-authorship network connecting the top 25 collaborators of Philip K. Maini. A scholar is included among the top collaborators of Philip K. Maini 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 Philip K. Maini. Philip K. Maini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 11 | |
| 9 | 28 | |
| 10 | 211 | |
| 11 | 216 | |
| 12 | 15 | |
| 13 | 36 | |
| 14 | A review on travelling wave solutions of one-dimensional reaction diffusion equations with non-linear diffusion term | 4 |
| 15 | 27 | |
| 16 | 26 | |
| 17 | 63 | |
| 18 | 79 | |
| 19 | 7 | |
| 20 | 73 |
About Philip K. Maini
Philip K. Maini is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Numerical Analysis, having authored 20 papers that have together received 839 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Evolution and Genetic Dynamics (8 papers) and Mathematical Biology Tumor Growth (6 papers). The work is most often cited by research in Modeling and Simulation (483 citations), Public Health, Environmental and Occupational Health (603 citations) and Genetics (365 citations). Philip K. Maini has collaborated with scholars based in United Kingdom, Slovakia and United States. Frequent co-authors include Andrei Korobeinikov, Jonathan A. Sherratt, Cristina Marcelli, Serena Matucci, Luisa Malaguti, Jody R. Reimer, Michael B. Bonsall, Judith Pérez-Velázquez, Janet Dyson and Sunetra Gupta. Their work appears in journals such as Scientific Reports, Journal of Theoretical Biology 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.