Marco Cattaneo
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Sabrina ManiscalcoRoberta ZambriniGian Luca GiorgiGabriele De ChiaraMatteo A. C. RossiGuillermo García-PérezMatteo G. A. ParisRussell E. Lake
- Topics
- Quantum Information and Cryptography (13 papers)Quantum Computing Algorithms and Architecture (5 papers)Quantum Mechanics and Applications (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsArtificial Intelligence
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaComputer Physics Communications
In The Last Decade
Marco Cattaneo
14 papers receiving 305 citations
Peers
Comparison fields: 5 of 26
- Atomic and Molecular Physics, and Optics 247
- Artificial Intelligence 221
- Statistical and Nonlinear Physics 125
- Materials Chemistry 16
- Electrical and Electronic Engineering 11
Countries citing papers authored by Marco Cattaneo
This map shows the geographic impact of Marco Cattaneo'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 Marco Cattaneo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Cattaneo more than expected).
Fields of papers citing papers by Marco Cattaneo
This network shows the impact of papers produced by Marco Cattaneo. 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 Marco Cattaneo. The network helps show where Marco Cattaneo may publish in the future.
Co-authorship network of co-authors of Marco Cattaneo
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Cattaneo. A scholar is included among the top collaborators of Marco Cattaneo 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 Marco Cattaneo. Marco Cattaneo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 36 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 19 | |
| 12 | 73 | |
| 13 | 28 | |
| 14 | 116 | |
| 15 | 16 | |
| 16 | 3 | |
| 17 | Transverse laser patterns and phase singularity crystals | 1 |
About Marco Cattaneo
Marco Cattaneo is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 17 papers that have together received 313 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (13 papers), Quantum Computing Algorithms and Architecture (5 papers) and Quantum Mechanics and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (125 citations), Atomic and Molecular Physics, and Optics (247 citations) and Artificial Intelligence (221 citations). Marco Cattaneo has collaborated with scholars based in Finland, Spain and Italy. Frequent co-authors include Sabrina Maniscalco, Roberta Zambrini, Gian Luca Giorgi, Gabriele De Chiara, Matteo A. C. Rossi, Guillermo García-Pérez, Matteo G. A. Paris, Russell E. Lake, J. P. Pekola and Bayan Karimi. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Computer Physics 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.