Carlo Presilla
- Atomic and Molecular Physics, and Optics top 5%
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Roberto OnofrioG. Jona‐LasinioFabio MarchesoniL. GammaitoniRoberto D’AgostaFederico CapassoVladislav PopkovE. Menichella-Saetta
- Topics
- Cold Atom Physics and Bose-Einstein Condensates (15 papers)Quantum Information and Cryptography (13 papers)Quantum many-body systems (10 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsStatistics, Probability and Uncertainty
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Carlo Presilla
52 papers receiving 981 citations
Peers
Comparison fields: 5 of 53
- Atomic and Molecular Physics, and Optics 720
- Statistical and Nonlinear Physics 495
- Artificial Intelligence 187
- Computer Networks and Communications 160
- Electrical and Electronic Engineering 101
Countries citing papers authored by Carlo Presilla
This map shows the geographic impact of Carlo Presilla'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 Carlo Presilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Presilla more than expected).
Fields of papers citing papers by Carlo Presilla
This network shows the impact of papers produced by Carlo Presilla. 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 Carlo Presilla. The network helps show where Carlo Presilla may publish in the future.
Co-authorship network of co-authors of Carlo Presilla
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Presilla. A scholar is included among the top collaborators of Carlo Presilla 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 Carlo Presilla. Carlo Presilla 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 | 2 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 23 | |
| 11 | 29 | |
| 12 | 9 | |
| 13 | Classical and quantum measurements of position | 10 |
| 14 | 73 | |
| 15 | 23 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 60 | |
| 19 | 10 | |
| 20 | 4 |
About Carlo Presilla
Carlo Presilla is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Surfaces, Coatings and Films, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (15 papers), Quantum Information and Cryptography (13 papers) and Quantum many-body systems (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (495 citations), Atomic and Molecular Physics, and Optics (720 citations) and Statistics, Probability and Uncertainty (51 citations). Carlo Presilla has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Roberto Onofrio, G. Jona‐Lasinio, Fabio Marchesoni, L. Gammaitoni, Roberto D’Agosta, Federico Capasso, Vladislav Popkov, E. Menichella-Saetta, S. Santucci and F. Sacchetti. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and Journal of Applied Physics.
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.