Federico Cerisola
- Statistical and Nonlinear Physics top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 10%
- Civil and Structural Engineering
- Condensed Matter Physics
- Co-authors
- Augusto J. RoncagliaJuan Pablo PazJanet AndersR. FolmanYair MargalitPaolo AbiusoMartí Perarnau-LlobetViktor Holubec
- Topics
- Advanced Thermodynamics and Statistical Mechanics (7 papers)Quantum Information and Cryptography (7 papers)Quantum Mechanics and Applications (5 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsArtificial Intelligence
- Partner nations
- United KingdomGermanySpain
In The Last Decade
Federico Cerisola
13 papers receiving 218 citations
Peers
Comparison fields: 5 of 20
- Statistical and Nonlinear Physics 190
- Atomic and Molecular Physics, and Optics 177
- Artificial Intelligence 95
- Civil and Structural Engineering 29
- Condensed Matter Physics 9
Countries citing papers authored by Federico Cerisola
This map shows the geographic impact of Federico Cerisola'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 Federico Cerisola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Cerisola more than expected).
Fields of papers citing papers by Federico Cerisola
This network shows the impact of papers produced by Federico Cerisola. 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 Federico Cerisola. The network helps show where Federico Cerisola may publish in the future.
Co-authorship network of co-authors of Federico Cerisola
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Cerisola. A scholar is included among the top collaborators of Federico Cerisola 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 Federico Cerisola. Federico Cerisola 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 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 9 | |
| 14 | 53 | |
| 15 | 111 |
About Federico Cerisola
Federico Cerisola is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 15 papers that have together received 224 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (7 papers), Quantum Information and Cryptography (7 papers) and Quantum Mechanics and Applications (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (190 citations), Atomic and Molecular Physics, and Optics (177 citations) and Artificial Intelligence (95 citations). Federico Cerisola has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Augusto J. Roncaglia, Juan Pablo Paz, Janet Anders, R. Folman, Yair Margalit, Paolo Abiuso, Martí Perarnau-Llobet, Viktor Holubec, Zhuolin Ye and Marco Berritta. Their work appears in journals such as Physical Review Letters, Nature Communications and New Journal of 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.