Ruggero Vasile
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Astronomy and Astrophysics top 10%
- Molecular Biology
- Co-authors
- Sabrina ManiscalcoStefano OlivaresMatteo G. A. ParisRoberto PassanteYuri ShpritsIrina ZhelavskayaHeinz‐Peter BreuerJyrki Piilo
- Topics
- Quantum Mechanics and Applications (9 papers)Ionosphere and magnetosphere dynamics (8 papers)Quantum Information and Cryptography (6 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsStatistical and Nonlinear PhysicsArtificial Intelligence
In The Last Decade
Ruggero Vasile
25 papers receiving 691 citations
Peers
Comparison fields: 5 of 60
- Atomic and Molecular Physics, and Optics 460
- Artificial Intelligence 400
- Statistical and Nonlinear Physics 159
- Astronomy and Astrophysics 125
- Molecular Biology 58
Countries citing papers authored by Ruggero Vasile
This map shows the geographic impact of Ruggero Vasile'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 Ruggero Vasile with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruggero Vasile more than expected).
Fields of papers citing papers by Ruggero Vasile
This network shows the impact of papers produced by Ruggero Vasile. 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 Ruggero Vasile. The network helps show where Ruggero Vasile may publish in the future.
Co-authorship network of co-authors of Ruggero Vasile
This figure shows the co-authorship network connecting the top 25 collaborators of Ruggero Vasile. A scholar is included among the top collaborators of Ruggero Vasile 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 Ruggero Vasile. Ruggero Vasile is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 26 | |
| 3 | 20 | |
| 4 | 8 | |
| 5 | 18 | |
| 6 | From network theory to dynamical systems and back: Lagrangian Betweenness reveals bottlenecks in geophysical flows | 1 |
| 7 | Modeling and Data Assimilation of the Ring Current, Relativistic and Ultra-relativistic Electrons in the Inner Magnetosphere | 1 |
| 8 | 34 | |
| 9 | 32 | |
| 10 | 13 | |
| 11 | 34 | |
| 12 | 13 | |
| 13 | 30 | |
| 14 | 96 | |
| 15 | 20 | |
| 16 | 72 | |
| 17 | 1 | |
| 18 | 54 | |
| 19 | 2 | |
| 20 | 26 |
About Ruggero Vasile
Ruggero Vasile is a scholar working on Statistical and Nonlinear Physics, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics, having authored 25 papers that have together received 722 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (9 papers), Ionosphere and magnetosphere dynamics (8 papers) and Quantum Information and Cryptography (6 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (460 citations), Statistical and Nonlinear Physics (159 citations) and Artificial Intelligence (400 citations). Ruggero Vasile has collaborated with scholars based in Germany, Italy and Finland. Frequent co-authors include Sabrina Maniscalco, Stefano Olivares, Matteo G. A. Paris, Roberto Passante, Yuri Shprits, Irina Zhelavskaya, Heinz‐Peter Breuer, Jyrki Piilo, Emilio Hernández-Garcı́a and Enrico Ser‐Giacomi. Their work appears in journals such as Geophysical Research Letters, Physical Review A and Chaos An Interdisciplinary Journal of Nonlinear Science.
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.