Francesco Calabrò
- Computational Mechanics top 2%
- Advanced Numerical Analysis Techniques 12
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations 4
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- Polynomial and algebraic computation 5
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- Nanopore and Nanochannel Transport Studies 6
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- Machine Learning and ELM 5
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- Model Reduction and Neural Networks 4
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- Numerical methods in engineering 4
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- Numerical methods in inverse problems 3
- Co-authors
- Davide MattiaGiancarlo SangalliThomas J.R. HughesMattia TaniJ. R. JinkinsAlessandro RealiFerdinando AuricchioConstantinos Siettos
- Journals
- The Journal of Chemical Physics (1 paper)Scientific Reports (2 papers)Journal of Computational Physics (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Francesco Calabrò
48 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 123
- Computational Mechanics 539
- Computer Graphics and Computer-Aided Design 75
- Numerical Analysis 107
- Computational Theory and Mathematics 193
- Computational Mathematics 7
Countries citing papers authored by Francesco Calabrò
This map shows the geographic impact of Francesco Calabrò'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 Francesco Calabrò with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Calabrò more than expected).
Fields of papers citing papers by Francesco Calabrò
This network shows the impact of papers produced by Francesco Calabrò. 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 Francesco Calabrò. The network helps show where Francesco Calabrò may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesco Calabrò, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 52 | |
| 8 | 2020 | 53 | |
| 9 | 2019 | 3 | |
| 10 | 2018 | 21 | |
| 11 | 2014 | 22 | |
| 12 | 2013 | 34 | |
| 13 | 2011 | 2 | |
| 14 | 2008 | 8 | |
| 15 | 2008 | 4 | |
| 16 | 2008 | 6 | |
| 17 | 2008 | 142 | |
| 18 | 2000 | 36 | |
| 19 | 1998 | 3 | |
| 20 | 1990 | 2 |
About Francesco Calabrò
Francesco Calabrò is a scholar working on Mathematical Physics, Numerical Analysis and Computational Mechanics, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (12 papers), Nanopore and Nanochannel Transport Studies (6 papers), Machine Learning and ELM (5 papers), Polynomial and algebraic computation (5 papers), Iterative Methods for Nonlinear Equations (4 papers), Model Reduction and Neural Networks (4 papers), Numerical methods in engineering (4 papers) and Numerical methods in inverse problems (3 papers). The work is most often cited by research in Computational Mechanics (539 citations), Computer Graphics and Computer-Aided Design (75 citations) and Numerical Analysis (107 citations). Francesco Calabrò has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Davide Mattia, Giancarlo Sangalli, Thomas J.R. Hughes, Mattia Tani, J. R. Jinkins, Alessandro Reali, Ferdinando Auricchio, Constantinos Siettos, René R. Hiemstra and Jason M. Reese. Their work appears in journals such as The Journal of Chemical Physics, Scientific Reports and Journal of Computational Physics.
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.