Thomas Giletti
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- Fractional Differential Equations Solutions
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- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
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- Mathematical and Theoretical Epidemiology and Ecology Models 27
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- Mathematical Biology Tumor Growth 9
- Co-authors
- Arnaud Ducrot (5 shared papers)Hiroshi Matano (3 shared papers)Jimmy Garnier (1 shared paper)Lionel Roques (1 shared paper)Luca Rossi (2 shared papers)Jong‐Shenq Guo (5 shared papers)François Hamel (1 shared paper)Matthieu Alfaro (6 shared papers)
In The Last Decade
Thomas Giletti
25 papers receiving 380 citations
Peers
Comparison fields: 5 of 38
- Modeling and Simulation 139
- Public Health, Environmental and Occupational Health 332
- Applied Mathematics 101
- Numerical Analysis 46
- Genetics 176
Countries citing papers authored by Thomas Giletti
This map shows the geographic impact of Thomas Giletti'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 Thomas Giletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Giletti more than expected).
Fields of papers citing papers by Thomas Giletti
This network shows the impact of papers produced by Thomas Giletti. 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 Thomas Giletti. The network helps show where Thomas Giletti may publish in the future.
Co-authors
The 17 scholars most cited alongside Thomas Giletti, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 84 | |
| 2 | 2019 | 65 | |
| 3 | 2018 | 45 | |
| 4 | 2012 | 37 | |
| 5 | 2013 | 24 | |
| 6 | 2020 | 18 | |
| 7 | 2019 | 16 | |
| 8 | 2015 | 15 | |
| 9 | 2021 | 15 | |
| 10 | 2017 | 15 | |
| 11 | 2014 | 13 | |
| 12 | 2021 | 11 | |
| 13 | 2013 | 10 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 5 | |
| 16 | 2010 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2011 | 2 |
About Thomas Giletti
Thomas Giletti is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Applied Mathematics, Numerical Analysis and Genetics, having authored 30 papers that have together received 403 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (27 papers), Evolution and Genetic Dynamics (10 papers), Mathematical Biology Tumor Growth (9 papers), Nonlinear Differential Equations Analysis (8 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Differential Equations and Numerical Methods (5 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Nonlinear Partial Differential Equations (4 papers). The work is most often cited by research in Modeling and Simulation (139 citations), Public Health, Environmental and Occupational Health (332 citations), Applied Mathematics (101 citations), Numerical Analysis (46 citations) and Genetics (176 citations). Thomas Giletti has collaborated with scholars based in France, Japan and Taiwan. Frequent co-authors include Arnaud Ducrot, Hiroshi Matano, Jimmy Garnier, Lionel Roques, Luca Rossi, Jong‐Shenq Guo, François Hamel, Matthieu Alfaro, Weiwei Ding and Maolin Zhou. Their work appears in journals such as Journal of Differential Equations, Calculus of Variations and Partial Differential Equations, Journal of Mathematical Biology, Nonlinearity and Nonlinear Analysis.
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.