P. Péretto
Impact in
- Condensed Matter Physics top 10%
- Theoretical and Computational Physics
- Physics of Superconductivity and Magnetism
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
Papers in
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- Magnetic properties of thin films 9
- Quantum Mechanics and Applications 4
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- Neural Networks and Applications 9
- Co-authors
- Jean-Jacques Niez (2 shared papers)Roderick V. Jensen (1 shared paper)Jean‐Louis Oddou (7 shared papers)Jean Berthier (9 shared papers)P. Moser (4 shared papers)D. Dautreppe (4 shared papers)R. Venegas (3 shared papers)Guo‐Wu Rao (3 shared papers)
In The Last Decade
P. Péretto
42 papers receiving 657 citations
Peers
Comparison fields: 5 of 76
- Condensed Matter Physics 148
- Cognitive Neuroscience 225
- Artificial Intelligence 349
- Statistical and Nonlinear Physics 123
- Atomic and Molecular Physics, and Optics 131
Countries citing papers authored by P. Péretto
This map shows the geographic impact of P. Péretto'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 P. Péretto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Péretto more than expected).
Fields of papers citing papers by P. Péretto
This network shows the impact of papers produced by P. Péretto. 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 P. Péretto. The network helps show where P. Péretto may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Péretto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 175 | |
| 2 | 1986 | 93 | |
| 3 | 1994 | 78 | |
| 4 | 1992 | 43 | |
| 5 | 1986 | 31 | |
| 6 | 1988 | 28 | |
| 7 | 1966 | 24 | |
| 8 | 1980 | 24 | |
| 9 | 1978 | 19 | |
| 10 | An Introduction to the Modeling of Neural Networks | 1992 | 15 |
| 11 | 1983 | 14 | |
| 12 | 1966 | 13 | |
| 13 | 1979 | 12 | |
| 14 | 1965 | 12 | |
| 15 | 1981 | 11 | |
| 16 | 1988 | 11 | |
| 17 | 1978 | 10 | |
| 18 | 1973 | 10 | |
| 19 | 1987 | 8 | |
| 20 | 1971 | 7 |
About P. Péretto
P. Péretto is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Statistical and Nonlinear Physics and Materials Chemistry, having authored 46 papers that have together received 700 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Magnetic properties of thin films (9 papers), Physics of Superconductivity and Magnetism (8 papers), Theoretical and Computational Physics (5 papers), Quantum Mechanics and Applications (4 papers), Magnetic Properties and Applications (4 papers), Electron and X-Ray Spectroscopy Techniques (3 papers) and Advanced Materials Characterization Techniques (3 papers). The work is most often cited by research in Condensed Matter Physics (148 citations), Cognitive Neuroscience (225 citations), Artificial Intelligence (349 citations), Statistical and Nonlinear Physics (123 citations) and Atomic and Molecular Physics, and Optics (131 citations). P. Péretto has collaborated with scholars based in France and Israel. Frequent co-authors include Jean-Jacques Niez, Roderick V. Jensen, Jean‐Louis Oddou, Jean Berthier, P. Moser, D. Dautreppe, R. Venegas, Guo‐Wu Rao, R. Heidinger and Mirta B. Gordon. Their work appears in journals such as physica status solidi (b), Physics Letters A, Physical review. B, Condensed matter, Solid State Communications and Biological Cybernetics.
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.