Matteo Scandi
Impact in
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- Advanced Thermodynamics and Statistical Mechanics
- Statistical Mechanics and Entropy
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- Quantum Mechanics and Applications
- Quantum many-body systems
- Quantum Electrodynamics and Casimir Effect
Papers in
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- Advanced Thermodynamics and Statistical Mechanics 7
- Statistical Mechanics and Entropy 2
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- Quantum Mechanics and Applications 4
- Spectroscopy and Quantum Chemical Studies 2
- Co-authors
- Martí Perarnau-Llobet (5 shared papers)Harry J. D. Miller (3 shared papers)Janet Anders (2 shared papers)Paolo Abiuso (3 shared papers)Sebastian Lehmann (1 shared paper)Kimberly A. Dick (1 shared paper)V. F. Maisi (1 shared paper)
- Journals
- Physical Review Letters (3 papers)Quantum (2 papers)Reports on Progress in Physics (1 paper)SciPost Physics (1 paper)Physical Review Research (1 paper)
- Partner nations
- SpainSwitzerlandUnited Kingdom
In The Last Decade
Matteo Scandi
9 papers receiving 306 citations
Peers
Comparison fields: 5 of 23
- Statistical and Nonlinear Physics 269
- Atomic and Molecular Physics, and Optics 181
- Artificial Intelligence 126
- Civil and Structural Engineering 57
- Physical and Theoretical Chemistry 13
Countries citing papers authored by Matteo Scandi
This map shows the geographic impact of Matteo Scandi'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 Matteo Scandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Scandi more than expected).
Fields of papers citing papers by Matteo Scandi
This network shows the impact of papers produced by Matteo Scandi. 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 Matteo Scandi. The network helps show where Matteo Scandi may publish in the future.
Co-authors
The 7 scholars most cited alongside Matteo Scandi, 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 | 2019 | 74 | |
| 2 | 2019 | 66 | |
| 3 | 2020 | 61 | |
| 4 | 2020 | 57 | |
| 5 | 2022 | 20 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 9 | |
| 8 | 2025 | 5 | |
| 9 | 2021 | 2 |
About Matteo Scandi
Matteo Scandi is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Civil and Structural Engineering and Computational Mechanics, having authored 9 papers that have together received 307 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (7 papers), Quantum Information and Cryptography (5 papers), Quantum Mechanics and Applications (4 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Statistical Mechanics and Entropy (2 papers), Field-Flow Fractionation Techniques (1 paper), Quantum Computing Algorithms and Architecture (1 paper) and Thermal Radiation and Cooling Technologies (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (269 citations), Atomic and Molecular Physics, and Optics (181 citations), Artificial Intelligence (126 citations), Civil and Structural Engineering (57 citations) and Physical and Theoretical Chemistry (13 citations). Matteo Scandi has collaborated with scholars based in Spain, Switzerland and United Kingdom. Frequent co-authors include Martí Perarnau-Llobet, Harry J. D. Miller, Janet Anders, Paolo Abiuso, Sebastian Lehmann, Kimberly A. Dick and V. F. Maisi. Their work appears in journals such as Physical Review Letters, Quantum, Reports on Progress in Physics, SciPost Physics and Physical Review Research.
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.