Gianluca Francica
- Atomic and Molecular Physics, and Optics top 5%
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 5%
- Civil and Structural Engineering
- Computer Networks and Communications
- Co-authors
- Francesco PlastinaJohn GooldRoberta ZambriniGiacomo GuarnieriMark T. MitchisonFelix C. BinderLuca Dell’AnnaTony J. G. Apollaro
- Topics
- Advanced Thermodynamics and Statistical Mechanics (10 papers)Quantum many-body systems (7 papers)Quantum Mechanics and Applications (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsArtificial Intelligence
- Journals
- Physical Review LettersPhysical Review APhysica A Statistical Mechanics and its Applications
- Partner nations
- ItalyIrelandUnited Kingdom
In The Last Decade
Gianluca Francica
19 papers receiving 535 citations
Peers
Comparison fields: 5 of 33
- Atomic and Molecular Physics, and Optics 422
- Statistical and Nonlinear Physics 363
- Artificial Intelligence 290
- Civil and Structural Engineering 64
- Computer Networks and Communications 41
Countries citing papers authored by Gianluca Francica
This map shows the geographic impact of Gianluca Francica'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 Gianluca Francica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Francica more than expected).
Fields of papers citing papers by Gianluca Francica
This network shows the impact of papers produced by Gianluca Francica. 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 Gianluca Francica. The network helps show where Gianluca Francica may publish in the future.
Co-authorship network of co-authors of Gianluca Francica
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Francica. A scholar is included among the top collaborators of Gianluca Francica 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 Gianluca Francica. Gianluca Francica is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 21 | |
| 9 | 17 | |
| 10 | 6 | |
| 11 | 12 | |
| 12 | 35 | |
| 13 | 1 | |
| 14 | 127 | |
| 15 | 10 | |
| 16 | 91 | |
| 17 | 7 | |
| 18 | 12 | |
| 19 | 108 | |
| 20 | 68 |
About Gianluca Francica
Gianluca Francica is a scholar working on Acoustics and Ultrasonics, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 20 papers that have together received 546 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (10 papers), Quantum many-body systems (7 papers) and Quantum Mechanics and Applications (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (363 citations), Atomic and Molecular Physics, and Optics (422 citations) and Artificial Intelligence (290 citations). Gianluca Francica has collaborated with scholars based in Italy, Ireland and United Kingdom. Frequent co-authors include Francesco Plastina, John Goold, Roberta Zambrini, Giacomo Guarnieri, Mark T. Mitchison, Felix C. Binder, Luca Dell’Anna, Tony J. G. Apollaro, Gian Luca Giorgi and N. Lo Gullo. Their work appears in journals such as Physical Review Letters, Physical Review A and Physica A Statistical Mechanics and its Applications.
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.