Andrea Gambassi
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Advanced Thermodynamics and Statistical Mechanics
- Opinion Dynamics and Social Influence
- Condensed Matter Physics top 1%
- Theoretical and Computational Physics
- Physics of Superconductivity and Magnetism
Papers in
-
- Advanced Thermodynamics and Statistical Mechanics 37
- Opinion Dynamics and Social Influence 15
-
- Theoretical and Computational Physics 29
- Physics of Superconductivity and Magnetism 11
- Co-authors
- S. DietrichAlessandro SilvaLaurent HeldenChristopher HertleinClemens BechingerJamir MarinoPasquale CalabreseAlessio Lerose
In The Last Decade
Andrea Gambassi
92 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 70
- Statistical and Nonlinear Physics 1.3k
- Condensed Matter Physics 927
- Atomic and Molecular Physics, and Optics 2.0k
- Computational Mathematics 16
- Materials Chemistry 626
Countries citing papers authored by Andrea Gambassi
This map shows the geographic impact of Andrea Gambassi'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 Andrea Gambassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Gambassi more than expected).
Fields of papers citing papers by Andrea Gambassi
This network shows the impact of papers produced by Andrea Gambassi. 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 Andrea Gambassi. The network helps show where Andrea Gambassi may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrea Gambassi, 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 | 3 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 27 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 16 | |
| 11 | 2020 | 3 | |
| 12 | 2018 | 51 | |
| 13 | 2017 | 19 | |
| 14 | 2017 | 57 | |
| 15 | 2015 | 70 | |
| 16 | 2014 | 1 | |
| 17 | 2013 | 104 | |
| 18 | 2012 | 97 | |
| 19 | 2002 | 46 | |
| 20 | 2001 | 18 |
About Andrea Gambassi
Andrea Gambassi is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics, Acoustics and Ultrasonics, Atomic and Molecular Physics, and Optics and Mathematical Physics, having authored 94 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (37 papers), Quantum many-body systems (34 papers), Theoretical and Computational Physics (29 papers), Quantum Electrodynamics and Casimir Effect (24 papers), Material Dynamics and Properties (18 papers), Opinion Dynamics and Social Influence (15 papers), Mechanical and Optical Resonators (12 papers) and Physics of Superconductivity and Magnetism (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.3k citations), Condensed Matter Physics (927 citations), Atomic and Molecular Physics, and Optics (2.0k citations), Computational Mathematics (16 citations) and Materials Chemistry (626 citations). Andrea Gambassi has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include S. Dietrich, Alessandro Silva, Laurent Helden, Christopher Hertlein, Clemens Bechinger, Jamir Marino, Pasquale Calabrese, Alessio Lerose, Alessio Chiocchetta and Anna Maciołek. Their work appears in journals such as Physical review. E, Physical review. B., Physical Review Letters, Physical Review B and Europhysics Letters (EPL).
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.