V. Carbone
- Astronomy and Astrophysics top 0.5%
- Solar and Space Plasma Dynamics 162
- Ionosphere and magnetosphere dynamics 80
- Stellar, planetary, and galactic studies 25
- Geophysics top 5%
- Earthquake Detection and Analysis 20
- Molecular Biology top 5%
- Geomagnetism and Paleomagnetism Studies 87
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- Fluid Dynamics and Turbulent Flows 37
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- Complex Systems and Time Series Analysis 34
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- Climate variability and models 21
V. Carbone
275 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Astronomy and Astrophysics 4.8k
- Nuclear and High Energy Physics 675
- Statistical and Nonlinear Physics 576
- Geophysics 445
- Molecular Biology 2.3k
Countries citing papers authored by V. Carbone
This map shows the geographic impact of V. Carbone'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 V. Carbone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Carbone more than expected).
Fields of papers citing papers by V. Carbone
This network shows the impact of papers produced by V. Carbone. 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 V. Carbone. The network helps show where V. Carbone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside V. Carbone, 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 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 2 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 46 | |
| 13 | 2019 | 36 | |
| 14 | 2017 | 44 | |
| 15 | 2017 | 21 | |
| 16 | A comparison of finite element solutions for 2d reinforced concrete structures | 2014 | 1 |
| 17 | Probabilistic approach to the safety format for non-linear analysis of concrete structures | 2011 | 1 |
| 18 | Progetto delle zone di accoppiamento dei cavi di precompressione | 2004 | 0 |
| 19 | Design models for deteriorated concrete bridges | 2003 | 1 |
| 20 | Le costruzioni in muratura - Interpretazione del comportamento statico e tecniche di intervento | 2001 | 2 |
About V. Carbone
V. Carbone is a scholar working on Astronomy and Astrophysics, Statistical and Nonlinear Physics, Nuclear and High Energy Physics, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 291 papers that have together received 6.7k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (162 papers), Geomagnetism and Paleomagnetism Studies (87 papers), Ionosphere and magnetosphere dynamics (80 papers), Fluid Dynamics and Turbulent Flows (37 papers), Complex Systems and Time Series Analysis (34 papers), Stellar, planetary, and galactic studies (25 papers), Climate variability and models (21 papers) and Earthquake Detection and Analysis (20 papers). The work is most often cited by research in Astronomy and Astrophysics (4.8k citations), Nuclear and High Energy Physics (675 citations), Statistical and Nonlinear Physics (576 citations), Geophysics (445 citations) and Molecular Biology (2.3k citations). V. Carbone has collaborated with scholars based in Italy, France and United States. Frequent co-authors include R. Bruno, P. Veltri, L. Sorriso‐Valvo, A. Vecchio, Fabio Lepreti, Diego Lorenzo Allaix, E. Pietropaolo, Raffaele Marino, A. Noullez and P. Giuliani. Their work appears in journals such as The Astrophysical Journal, Europhysics Letters (EPL), Physical Review Letters, Planetary and Space Science and Physics of Plasmas.
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.