Matteo A. C. Rossi
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology
- Molecular Biology
- Co-authors
- Nicolás FaselChiara MacchiavelloMatteo G. A. ParisDagmar BrußMarco G. GenoniSabrina ManiscalcoMarcus HuberGuillermo García-Pérez
- Topics
- Quantum Information and Cryptography (31 papers)Quantum Computing Algorithms and Architecture (25 papers)Quantum Mechanics and Applications (17 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNature Communications
- Partner nations
- ItalyFinlandSwitzerland
In The Last Decade
Matteo A. C. Rossi
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 634
- Atomic and Molecular Physics, and Optics 545
- Public Health, Environmental and Occupational Health 358
- Epidemiology 208
- Molecular Biology 122
Countries citing papers authored by Matteo A. C. Rossi
This map shows the geographic impact of Matteo A. C. Rossi'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 A. C. Rossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo A. C. Rossi more than expected).
Fields of papers citing papers by Matteo A. C. Rossi
This network shows the impact of papers produced by Matteo A. C. Rossi. 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 A. C. Rossi. The network helps show where Matteo A. C. Rossi may publish in the future.
Co-authorship network of co-authors of Matteo A. C. Rossi
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo A. C. Rossi. A scholar is included among the top collaborators of Matteo A. C. Rossi 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 Matteo A. C. Rossi. Matteo A. C. Rossi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 36 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | Pairwise tomography networks for many-body quantum systems | 12 |
| 7 | Decoherence without entanglement and quantum Darwinism | 16 |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 41 | |
| 12 | 7 | |
| 13 | 61 | |
| 14 | 1 | |
| 15 | 18 | |
| 16 | 43 | |
| 17 | 14 | |
| 18 | 29 | |
| 19 | 75 | |
| 20 | 17 |
About Matteo A. C. Rossi
Matteo A. C. Rossi is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (31 papers), Quantum Computing Algorithms and Architecture (25 papers) and Quantum Mechanics and Applications (17 papers). The work is most often cited by research in Artificial Intelligence (634 citations), Atomic and Molecular Physics, and Optics (545 citations) and Parasitology (92 citations). Matteo A. C. Rossi has collaborated with scholars based in Italy, Finland and Switzerland. Frequent co-authors include Nicolás Fasel, Chiara Macchiavello, Matteo G. A. Paris, Dagmar Bruß, Marco G. Genoni, Sabrina Maniscalco, Marcus Huber, Guillermo García-Pérez, Stephen M. Beverley and Remzi Onur Eren. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
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.