Carlo Graziani
- Nuclear and High Energy Physics
- Astronomy and Astrophysics
- Computational Mechanics
- Mechanics of Materials
- Atomic and Molecular Physics, and Optics
- Co-authors
- Petros TzeferacosMilad FatenejadD. Q. LambKlaus WeideN. FlockeG. GregoriJ. MeineckeAnthony Scopatz
- Topics
- Computational Fluid Dynamics and Aerodynamics (5 papers)Fluid Dynamics and Turbulent Flows (3 papers)Laser-Plasma Interactions and Diagnostics (3 papers)
- Journals
- Journal of Computational PhysicsJournal of Scientific ComputingThe International Journal of High Performance Computing Applications
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Carlo Graziani
10 papers receiving 135 citations
Peers
Comparison fields: 5 of 35
- Nuclear and High Energy Physics 73
- Astronomy and Astrophysics 42
- Computational Mechanics 34
- Mechanics of Materials 29
- Atomic and Molecular Physics, and Optics 25
Countries citing papers authored by Carlo Graziani
This map shows the geographic impact of Carlo Graziani'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 Carlo Graziani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Graziani more than expected).
Fields of papers citing papers by Carlo Graziani
This network shows the impact of papers produced by Carlo Graziani. 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 Carlo Graziani. The network helps show where Carlo Graziani may publish in the future.
Co-authorship network of co-authors of Carlo Graziani
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Graziani. A scholar is included among the top collaborators of Carlo Graziani 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 Carlo Graziani. Carlo Graziani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Quality Improvements In Variance Estimation For The Labour Force Survey | 1 |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 60 | |
| 6 | 12 | |
| 7 | 21 | |
| 8 | Challenges of Extreme Computing using the FLASH code | 12 |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 14 |
About Carlo Graziani
Carlo Graziani is a scholar working on Computational Mechanics, Nuclear and High Energy Physics and Geophysics, having authored 11 papers that have together received 138 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (5 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Laser-Plasma Interactions and Diagnostics (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (73 citations), Astronomy and Astrophysics (42 citations) and Geophysics (24 citations). Carlo Graziani has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Petros Tzeferacos, Milad Fatenejad, D. Q. Lamb, Klaus Weide, N. Flocke, G. Gregori, J. Meinecke, Anthony Scopatz, R. Sina and A. K. Harding. Their work appears in journals such as Journal of Computational Physics, Journal of Scientific Computing and The International Journal of High Performance Computing Applications.
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.