Leonardo Robol
Impact in
- Computational Mathematics top 5%
- Tensor decomposition and applications
- Numerical Analysis top 5%
- Numerical methods for differential equations
Papers in
-
- Matrix Theory and Algorithms 29
- Polynomial and algebraic computation 6
-
- Advanced Optimization Algorithms Research 9
- Numerical methods for differential equations 8
- Co-authors
- Dario A. Bini (9 shared papers)Maria Girardi (7 shared papers)Daniele Pellegrini (7 shared papers)Cristina Padovani (6 shared papers)Daniel Kreßner (5 shared papers)Raf Vandebril (7 shared papers)Margherita Porcelli (2 shared papers)David S. Watkins (5 shared papers)
- Journals
- SIAM Journal on Matrix Analysis and Applications (6 papers)Linear Algebra and its Applications (6 papers)SIAM Journal on Scientific Computing (3 papers)Numerical Linear Algebra with Applications (2 papers)International Journal of Thermal Sciences (1 paper)
- Partner nations
- ItalySwitzerlandBelgium
In The Last Decade
Leonardo Robol
44 papers receiving 402 citations
Peers
Comparison fields: 5 of 67
- Computational Mathematics 34
- Numerical Analysis 86
- Computational Theory and Mathematics 193
- Statistics, Probability and Uncertainty 46
- Statistical and Nonlinear Physics 61
Countries citing papers authored by Leonardo Robol
This map shows the geographic impact of Leonardo Robol'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 Leonardo Robol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Robol more than expected).
Fields of papers citing papers by Leonardo Robol
This network shows the impact of papers produced by Leonardo Robol. 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 Leonardo Robol. The network helps show where Leonardo Robol may publish in the future.
Co-authors
The 25 scholars most cited alongside Leonardo Robol, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 48 | |
| 2 | 2020 | 42 | |
| 3 | 2019 | 35 | |
| 4 | 2020 | 24 | |
| 5 | 2018 | 22 | |
| 6 | 2019 | 18 | |
| 7 | 2018 | 17 | |
| 8 | 2020 | 15 | |
| 9 | 2019 | 15 | |
| 10 | 2019 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2017 | 11 | |
| 16 | 2017 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2018 | 9 | |
| 19 | 2016 | 9 | |
| 20 | 2016 | 9 |
About Leonardo Robol
Leonardo Robol is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Computational Mathematics, Civil and Structural Engineering and Statistical and Nonlinear Physics, having authored 46 papers that have together received 419 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (29 papers), Advanced Optimization Algorithms Research (9 papers), Numerical methods for differential equations (8 papers), Tensor decomposition and applications (8 papers), Structural Health Monitoring Techniques (7 papers), Electromagnetic Scattering and Analysis (6 papers), Polynomial and algebraic computation (6 papers) and Probabilistic and Robust Engineering Design (4 papers). The work is most often cited by research in Computational Mathematics (34 citations), Numerical Analysis (86 citations), Computational Theory and Mathematics (193 citations), Statistics, Probability and Uncertainty (46 citations) and Statistical and Nonlinear Physics (61 citations). Leonardo Robol has collaborated with scholars based in Italy, Switzerland and Belgium. Frequent co-authors include Dario A. Bini, Maria Girardi, Daniele Pellegrini, Cristina Padovani, Daniel Kreßner, Raf Vandebril, Margherita Porcelli, David S. Watkins, Mariarosa Mazza and Federico Poloni. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, Linear Algebra and its Applications, SIAM Journal on Scientific Computing, Numerical Linear Algebra with Applications and International Journal of Thermal Sciences.
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.