P. Péretto

87 total papers · 1.1k total citations
47 papers, 707 citations indexed

About

P. Péretto is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, P. Péretto has authored 47 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atomic and Molecular Physics, and Optics, 11 papers in Artificial Intelligence and 10 papers in Condensed Matter Physics. Recurrent topics in P. Péretto's work include Magnetic properties of thin films (9 papers), Neural Networks and Applications (9 papers) and Physics of Superconductivity and Magnetism (8 papers). P. Péretto is often cited by papers focused on Magnetic properties of thin films (9 papers), Neural Networks and Applications (9 papers) and Physics of Superconductivity and Magnetism (8 papers). P. Péretto collaborates with scholars based in France, United States and Canada. P. Péretto's co-authors include Jean-Jacques Niez, Roderick V. Jensen, Jean Berthier, Jean‐Louis Oddou, D. Dautreppe, P. Moser, Guo‐Wu Rao, R. Venegas, R. Heidinger and Mirta B. Gordon and has published in prestigious journals such as Physical review. B, Condensed matter, Journal of Applied Physics and Physics Letters A.

In The Last Decade

P. Péretto

43 papers receiving 664 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
P. Péretto 350 226 149 131 123 47 707
Shigetoshi Nara 306 0.9× 250 1.1× 38 0.3× 117 0.9× 195 1.6× 69 633
Francesco Caravelli 237 0.7× 117 0.5× 145 1.0× 263 2.0× 236 1.9× 60 873
P. Ruján 242 0.7× 103 0.5× 282 1.9× 172 1.3× 126 1.0× 42 732
Yoshihiko Horio 380 1.1× 117 0.5× 35 0.2× 142 1.1× 191 1.6× 114 768
Paul H. Bryant 111 0.3× 87 0.4× 110 0.7× 229 1.7× 490 4.0× 23 858
Mathias Bode 73 0.2× 78 0.3× 73 0.5× 67 0.5× 244 2.0× 31 713
Fabio L. Traversa 195 0.6× 88 0.4× 33 0.2× 231 1.8× 87 0.7× 71 706
C. Degli Esposti Boschi 268 0.8× 28 0.1× 216 1.4× 681 5.2× 92 0.7× 38 882
Tong Liu 314 0.9× 62 0.3× 15 0.1× 341 2.6× 165 1.3× 56 767
Francisco A. Tamarit 83 0.2× 72 0.3× 444 3.0× 297 2.3× 395 3.2× 61 838

Countries citing papers authored by P. Péretto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of P. Péretto

This figure shows the co-authorship network connecting the top 25 collaborators of P. Péretto. A scholar is included among the top collaborators of P. Péretto 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 P. Péretto. P. Péretto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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