Giuseppe Carleo
- Atomic and Molecular Physics, and Optics top 0.5%
- Artificial Intelligence top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Materials Chemistry top 5%
- Condensed Matter Physics top 2%
- Co-authors
- Matthias TroyerJ. I. CiracK. CranmerLenka ZdeborováLaurent DaudetNaftali TishbyLeslie Vogt-MarantoMaria Schuld
- Topics
- Quantum many-body systems (47 papers)Quantum, superfluid, helium dynamics (27 papers)Cold Atom Physics and Bose-Einstein Condensates (22 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsComputational MathematicsStatistical and Nonlinear Physics
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Giuseppe Carleo
66 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Atomic and Molecular Physics, and Optics 3.1k
- Artificial Intelligence 2.1k
- Statistical and Nonlinear Physics 898
- Materials Chemistry 893
- Condensed Matter Physics 831
Countries citing papers authored by Giuseppe Carleo
This map shows the geographic impact of Giuseppe Carleo'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 Giuseppe Carleo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Carleo more than expected).
Fields of papers citing papers by Giuseppe Carleo
This network shows the impact of papers produced by Giuseppe Carleo. 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 Giuseppe Carleo. The network helps show where Giuseppe Carleo may publish in the future.
Co-authorship network of co-authors of Giuseppe Carleo
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Carleo. A scholar is included among the top collaborators of Giuseppe Carleo 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 Giuseppe Carleo. Giuseppe Carleo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 18 | |
| 7 | 4 | |
| 8 | 40 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 52 | |
| 15 | Natural evolution strategies and quantum approximate optimization. | 1 |
| 16 | 133 | |
| 17 | Machine learning and the physical sciencesbreakdown → | 1446 |
| 18 | 131 | |
| 19 | 28 | |
| 20 | 11 |
About Giuseppe Carleo
Giuseppe Carleo is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Condensed Matter Physics, having authored 68 papers that have together received 5.4k indexed citations. Recurring topics across this work include Quantum many-body systems (47 papers), Quantum, superfluid, helium dynamics (27 papers) and Cold Atom Physics and Bose-Einstein Condensates (22 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (3.1k citations), Computational Mathematics (45 citations) and Statistical and Nonlinear Physics (898 citations). Giuseppe Carleo has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Matthias Troyer, J. I. Cirac, K. Cranmer, Lenka Zdeborová, Laurent Daudet, Naftali Tishby, Leslie Vogt-Maranto, Maria Schuld, Kenny Choo and James Stokes. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.