Federico Frascoli
- Modeling and Simulation top 5%
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- Advanced Thermodynamics and Statistical Mechanics 6
- stochastic dynamics and bifurcation 5
- Oceanography top 10%
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- Evolution and Genetic Dynamics 9
- Virus-based gene therapy research 7
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- Mathematical and Theoretical Epidemiology and Ecology Models 10
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- Neural dynamics and brain function 7
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- Viral Infectious Diseases and Gene Expression in Insects 5
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- Phase Equilibria and Thermodynamics 5
- Co-authors
- Peter KimB. D. ToddMathew P. DafilisAdrianne L. JennerDavid T. J. LileySridhar Kumar KannamPeter J. DaivisBarry D. Hughes
- Journals
- Physical Review Letters (1 paper)The Journal of Chemical Physics (4 papers)SHILAP Revista de lepidopterología (2 papers)
In The Last Decade
Federico Frascoli
45 papers receiving 555 citations
Peers
Comparison fields: 5 of 93
- Modeling and Simulation 98
- Statistical and Nonlinear Physics 92
- Oceanography 65
- Earth-Surface Processes 34
- Genetics 124
Countries citing papers authored by Federico Frascoli
This map shows the geographic impact of Federico Frascoli'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 Federico Frascoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Frascoli more than expected).
Fields of papers citing papers by Federico Frascoli
This network shows the impact of papers produced by Federico Frascoli. 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 Federico Frascoli. The network helps show where Federico Frascoli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Federico Frascoli, 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 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 15 | |
| 9 | 2019 | 2 | |
| 10 | 2018 | 14 | |
| 11 | 2017 | 57 | |
| 12 | 2016 | 12 | |
| 13 | 2016 | 7 | |
| 14 | 2015 | 4 | |
| 15 | 2014 | 8 | |
| 16 | 2014 | 35 | |
| 17 | 2014 | 9 | |
| 18 | 2008 | 3 | |
| 19 | 2007 | 4 | |
| 20 | 2006 | 11 |
About Federico Frascoli
Federico Frascoli is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Genetics, having authored 50 papers that have together received 564 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Evolution and Genetic Dynamics (9 papers), Virus-based gene therapy research (7 papers), Neural dynamics and brain function (7 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), stochastic dynamics and bifurcation (5 papers) and Phase Equilibria and Thermodynamics (5 papers). The work is most often cited by research in Modeling and Simulation (98 citations), Statistical and Nonlinear Physics (92 citations) and Oceanography (65 citations). Federico Frascoli has collaborated with scholars based in Australia, Canada and Italy. Frequent co-authors include Peter Kim, B. D. Todd, Mathew P. Dafilis, Adrianne L. Jenner, David T. J. Liley, Sridhar Kumar Kannam, Peter J. Daivis, Barry D. Hughes, Peter J. Cadusch and Kerry A. Landman. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.
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.