Samuele Rubino
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 5%
- Numerical Analysis top 10%
- Environmental Engineering
- Computational Theory and Mathematics top 10%
- Co-authors
- Tomás Chacón RebolloNaveed AhmedVolker JohnMacarena Gómez MármolJulia NovoCarlos Rivera-GómezCarmen Galán-MarínTraian Iliescu
- Topics
- Computational Fluid Dynamics and Aerodynamics (14 papers)Advanced Numerical Methods in Computational Mathematics (13 papers)Model Reduction and Neural Networks (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputer Methods in Applied Mechanics and EngineeringApplied Mathematics and Computation
- Partner nations
- SpainFranceUnited States
In The Last Decade
Samuele Rubino
26 papers receiving 289 citations
Peers
Comparison fields: 5 of 46
- Computational Mechanics 200
- Statistical and Nonlinear Physics 114
- Numerical Analysis 63
- Environmental Engineering 43
- Computational Theory and Mathematics 38
Countries citing papers authored by Samuele Rubino
This map shows the geographic impact of Samuele Rubino'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 Samuele Rubino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuele Rubino more than expected).
Fields of papers citing papers by Samuele Rubino
This network shows the impact of papers produced by Samuele Rubino. 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 Samuele Rubino. The network helps show where Samuele Rubino may publish in the future.
Co-authorship network of co-authors of Samuele Rubino
This figure shows the co-authorship network connecting the top 25 collaborators of Samuele Rubino. A scholar is included among the top collaborators of Samuele Rubino 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 Samuele Rubino. Samuele Rubino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 25 | |
| 8 | 19 | |
| 9 | 18 | |
| 10 | 21 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 18 | |
| 14 | 60 | |
| 15 | 0 | |
| 16 | 13 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 3 | |
| 20 | 1 |
About Samuele Rubino
Samuele Rubino is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Computational Mechanics, having authored 29 papers that have together received 296 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (14 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Model Reduction and Neural Networks (12 papers). The work is most often cited by research in Numerical Analysis (63 citations), Computational Mechanics (200 citations) and Statistical and Nonlinear Physics (114 citations). Samuele Rubino has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Tomás Chacón Rebollo, Naveed Ahmed, Volker John, Macarena Gómez Mármol, Julia Novo, Carlos Rivera-Gómez, Carmen Galán-Marín, Traian Iliescu, John R. Singler and Frédéric Hecht. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Applied Mathematics and Computation.
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.