Francesco Petiziol
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 5%
- Electronic, Optical and Magnetic Materials
- Materials Chemistry
- Statistical and Nonlinear Physics
- Co-authors
- Sandro WimbergerStefano CarrettaP. SantiniAlessandro ChiesaFlorian MintertEmilio MacalusoAndré EckardtE. Arimondo
- Topics
- Quantum Information and Cryptography (14 papers)Quantum and electron transport phenomena (10 papers)Quantum Computing Algorithms and Architecture (8 papers)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Francesco Petiziol
21 papers receiving 337 citations
Peers
Comparison fields: 5 of 26
- Atomic and Molecular Physics, and Optics 265
- Artificial Intelligence 203
- Electronic, Optical and Magnetic Materials 59
- Materials Chemistry 46
- Statistical and Nonlinear Physics 28
Countries citing papers authored by Francesco Petiziol
This map shows the geographic impact of Francesco Petiziol'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 Francesco Petiziol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Petiziol more than expected).
Fields of papers citing papers by Francesco Petiziol
This network shows the impact of papers produced by Francesco Petiziol. 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 Francesco Petiziol. The network helps show where Francesco Petiziol may publish in the future.
Co-authorship network of co-authors of Francesco Petiziol
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Petiziol. A scholar is included among the top collaborators of Francesco Petiziol 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 Francesco Petiziol. Francesco Petiziol 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 | 5 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 25 | |
| 11 | 20 | |
| 12 | 33 | |
| 13 | 3 | |
| 14 | 25 | |
| 15 | 25 | |
| 16 | 65 | |
| 17 | 9 | |
| 18 | 22 | |
| 19 | 42 | |
| 20 | 14 |
About Francesco Petiziol
Francesco Petiziol is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 23 papers that have together received 341 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (14 papers), Quantum and electron transport phenomena (10 papers) and Quantum Computing Algorithms and Architecture (8 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (265 citations), Artificial Intelligence (203 citations) and Biophysics (22 citations). Francesco Petiziol has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Sandro Wimberger, Stefano Carretta, P. Santini, Alessandro Chiesa, Florian Mintert, Emilio Macaluso, André Eckardt, E. Arimondo, Luigi Giannelli and R. Mannella. Their work appears in journals such as Physical Review Letters, Scientific Reports and The Journal of Physical Chemistry 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.