Gabriele De Chiara
- Atomic and Molecular Physics, and Optics top 0.5%
- Artificial Intelligence top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Condensed Matter Physics top 2%
- Civil and Structural Engineering top 5%
- Co-authors
- G. Massimo PalmaMauro PaternostroSimone MontangeroRosario FazioAnna SanperaGiovanna MorigiLaura MazzolaAlessandro Ferraro
- Topics
- Quantum Information and Cryptography (55 papers)Advanced Thermodynamics and Statistical Mechanics (35 papers)Quantum many-body systems (32 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsArtificial Intelligence
- Partner nations
- United KingdomItalySpain
In The Last Decade
Gabriele De Chiara
101 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 58
- Atomic and Molecular Physics, and Optics 3.4k
- Artificial Intelligence 2.0k
- Statistical and Nonlinear Physics 1.5k
- Condensed Matter Physics 486
- Civil and Structural Engineering 186
Countries citing papers authored by Gabriele De Chiara
This map shows the geographic impact of Gabriele De Chiara'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 Gabriele De Chiara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele De Chiara more than expected).
Fields of papers citing papers by Gabriele De Chiara
This network shows the impact of papers produced by Gabriele De Chiara. 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 Gabriele De Chiara. The network helps show where Gabriele De Chiara may publish in the future.
Co-authorship network of co-authors of Gabriele De Chiara
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele De Chiara. A scholar is included among the top collaborators of Gabriele De Chiara 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 Gabriele De Chiara. Gabriele De Chiara 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 | 11 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 20 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | Quantum machines powered by correlated baths | 28 |
| 11 | 15 | |
| 12 | 4 | |
| 13 | 38 | |
| 14 | 5 | |
| 15 | Distant multipartite entanglement in a first order phase transition | 1 |
| 16 | 168 | |
| 17 | 109 | |
| 18 | 86 | |
| 19 | Quantum cloning without external control | 1 |
| 20 | 179 |
About Gabriele De Chiara
Gabriele De Chiara is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 106 papers that have together received 3.9k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (55 papers), Advanced Thermodynamics and Statistical Mechanics (35 papers) and Quantum many-body systems (32 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.5k citations), Atomic and Molecular Physics, and Optics (3.4k citations) and Artificial Intelligence (2.0k citations). Gabriele De Chiara has collaborated with scholars based in United Kingdom, Italy and Spain. Frequent co-authors include G. Massimo Palma, Mauro Paternostro, Simone Montangero, Rosario Fazio, Anna Sanpera, Giovanna Morigi, Laura Mazzola, Alessandro Ferraro, Pasquale Calabrese and Davide Rossini. Their work appears in journals such as Physical Review Letters, Physical Review B and Scientific Reports.
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.