Paolo Giorda
- Atomic and Molecular Physics, and Optics top 2%
- Artificial Intelligence top 1%
- Statistical and Nonlinear Physics top 2%
- Condensed Matter Physics top 5%
- Nuclear and High Energy Physics
- Co-authors
- Matteo G. A. ParisPaolo ZanardiMarco CozziniMichele AllegraArianna MontorsiLorenzo Campos VenutiLeonardo BanchiFabio L. Traversa
- Topics
- Quantum Information and Cryptography (23 papers)Quantum Mechanics and Applications (12 papers)Quantum many-body systems (11 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- ItalyUnited StatesSingapore
In The Last Decade
Paolo Giorda
30 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 36
- Atomic and Molecular Physics, and Optics 1.4k
- Artificial Intelligence 1.1k
- Statistical and Nonlinear Physics 336
- Condensed Matter Physics 177
- Nuclear and High Energy Physics 38
Countries citing papers authored by Paolo Giorda
This map shows the geographic impact of Paolo Giorda'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 Paolo Giorda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Giorda more than expected).
Fields of papers citing papers by Paolo Giorda
This network shows the impact of papers produced by Paolo Giorda. 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 Paolo Giorda. The network helps show where Paolo Giorda may publish in the future.
Co-authorship network of co-authors of Paolo Giorda
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Giorda. A scholar is included among the top collaborators of Paolo Giorda 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 Paolo Giorda. Paolo Giorda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 21 | |
| 5 | 38 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 38 | |
| 10 | 54 | |
| 11 | 2 | |
| 12 | Gaussian Quantum Discordbreakdown → | 382 |
| 13 | 43 | |
| 14 | 338 | |
| 15 | 37 | |
| 16 | 81 | |
| 17 | 85 | |
| 18 | 1 | |
| 19 | Mode entanglement and entangling power in bosonic graphs (15 pages) | 1 |
| 20 | 11 |
About Paolo Giorda
Paolo Giorda is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (23 papers), Quantum Mechanics and Applications (12 papers) and Quantum many-body systems (11 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.4k citations), Artificial Intelligence (1.1k citations) and Statistical and Nonlinear Physics (336 citations). Paolo Giorda has collaborated with scholars based in Italy, United States and Singapore. Frequent co-authors include Matteo G. A. Paris, Paolo Zanardi, Marco Cozzini, Michele Allegra, Arianna Montorsi, Lorenzo Campos Venuti, Leonardo Banchi, Fabio L. Traversa, Marco G. Genoni and Stefano Olivares. Their work appears in journals such as Physical Review Letters, Physical Review B and Physical Review 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.