G. Sandri
- Astronomy and Astrophysics top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Molecular Biology
- Statistical and Nonlinear Physics top 5%
- Genetics
- Co-authors
- A. J. KlimasSusanta K. SarkarSahotra SarkarRoberto MerlettiM. L. GoldsteinL.R. Lo ConteL. A. FiskA.H. Kritz
- Topics
- Advanced Thermodynamics and Statistical Mechanics (15 papers)Solar and Space Plasma Dynamics (8 papers)Cold Atom Physics and Bose-Einstein Condensates (7 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
G. Sandri
71 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 111
- Astronomy and Astrophysics 249
- Atomic and Molecular Physics, and Optics 236
- Molecular Biology 228
- Statistical and Nonlinear Physics 213
- Genetics 168
Countries citing papers authored by G. Sandri
This map shows the geographic impact of G. Sandri'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 G. Sandri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Sandri more than expected).
Fields of papers citing papers by G. Sandri
This network shows the impact of papers produced by G. Sandri. 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 G. Sandri. The network helps show where G. Sandri may publish in the future.
Co-authorship network of co-authors of G. Sandri
This figure shows the co-authorship network connecting the top 25 collaborators of G. Sandri. A scholar is included among the top collaborators of G. Sandri 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 G. Sandri. G. Sandri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Technical applications of the theory of the top | 2 |
| 2 | Perturbations. astronomical and geophysical applications | 1 |
| 3 | Development of the theory in the case of the heavy symmetric top | 1 |
| 4 | Introduction to the kinematics and kinetics of the top | 2 |
| 5 | 9 | |
| 6 | 39 | |
| 7 | 5 | |
| 8 | 96 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 0 | |
| 12 | Modeling of scalar probability density functions in turbulent flows | 1 |
| 13 | 80 | |
| 14 | The parallel diffusion coefficient for cosmic rays in a turbulent magnetic field | 2 |
| 15 | 3 | |
| 16 | 29 | |
| 17 | 2 | |
| 18 | 30 | |
| 19 | 12 | |
| 20 | ON THE RELAXATION OF GASES TOWARD CONTINUUM FLOW | 2 |
About G. Sandri
G. Sandri is a scholar working on Statistical and Nonlinear Physics, Astronomy and Astrophysics and Mathematical Physics, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (15 papers), Solar and Space Plasma Dynamics (8 papers) and Cold Atom Physics and Bose-Einstein Condensates (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (213 citations), Astronomy and Astrophysics (249 citations) and Applied Mathematics (119 citations). G. Sandri has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include A. J. Klimas, Susanta K. Sarkar, Sahotra Sarkar, Roberto Merletti, M. L. Goldstein, L.R. Lo Conte, L. A. Fisk, A.H. Kritz, Thomas G. Bifano and Mark N. Horenstein. Their work appears in journals such as Physical Review Letters, Journal of Applied Physics and The Astrophysical Journal.
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.