Carlo Cafaro
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- Statistical Mechanics and Entropy 30
- Advanced Thermodynamics and Statistical Mechanics 15
- Quantum chaos and dynamical systems 9
- Artificial Intelligence top 5%
- Quantum Information and Cryptography 31
- Quantum Computing Algorithms and Architecture 19
- Neural Networks and Applications 6
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- Quantum Mechanics and Applications 28
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- Complex Systems and Time Series Analysis 8
- Co-authors
- Stefano ManciniPaul M. AlsingAdom GiffinPeter van LoockErik M. BolltJie SunOrlando LuongoCosmo Lupo
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceAtomic and Molecular Physics, and Optics
- Partner nations
- United StatesItalyGermany
In The Last Decade
Carlo Cafaro
68 papers receiving 678 citations
Peers
Comparison fields: 5 of 61
- Statistical and Nonlinear Physics 397
- Artificial Intelligence 366
- Atomic and Molecular Physics, and Optics 317
- Computational Mathematics 3
- Computational Theory and Mathematics 66
Countries citing papers authored by Carlo Cafaro
This map shows the geographic impact of Carlo Cafaro'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 Cafaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Cafaro more than expected).
Fields of papers citing papers by Carlo Cafaro
This network shows the impact of papers produced by Carlo Cafaro. 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 Cafaro. The network helps show where Carlo Cafaro may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Carlo Cafaro, 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 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 4 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 15 | |
| 14 | 2016 | 15 | |
| 15 | 2016 | 9 | |
| 16 | 2012 | 3 | |
| 17 | 2010 | 14 | |
| 18 | Quantum Error Correcting Codes and Correlated Noise Errors | 2009 | 0 |
| 19 | 2007 | 17 | |
| 20 | 2007 | 4 |
About Carlo Cafaro
Carlo Cafaro is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 73 papers that have together received 691 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (31 papers), Statistical Mechanics and Entropy (30 papers), Quantum Mechanics and Applications (28 papers), Quantum Computing Algorithms and Architecture (19 papers), Advanced Thermodynamics and Statistical Mechanics (15 papers), Quantum chaos and dynamical systems (9 papers), Complex Systems and Time Series Analysis (8 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (397 citations), Artificial Intelligence (366 citations) and Atomic and Molecular Physics, and Optics (317 citations). Carlo Cafaro has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Stefano Mancini, Paul M. Alsing, Adom Giffin, Peter van Loock, Erik M. Bollt, Jie Sun, Orlando Luongo, Cosmo Lupo, Salvatore Capozzıello and Hernando Quevedo. Their work appears in journals such as Nuclear Physics B, Physical Review A and Physics Letters A.
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.