Francesco Arzani

15 papers and 423 indexed citations i.

About

Francesco Arzani is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Francesco Arzani has authored 15 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Atomic and Molecular Physics, and Optics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Francesco Arzani’s work include Quantum Information and Cryptography (11 papers), Quantum Computing Algorithms and Architecture (7 papers) and Quantum Mechanics and Applications (6 papers). Francesco Arzani is often cited by papers focused on Quantum Information and Cryptography (11 papers), Quantum Computing Algorithms and Architecture (7 papers) and Quantum Mechanics and Applications (6 papers). Francesco Arzani collaborates with scholars based in France, Germany and Iran. Francesco Arzani's co-authors include Nicolas Treps, Claude Fabre, Giulia Ferrini, Jonathan Roslund, Yin Cai, Xiao-Yun Xu, Jens Eisert, Johannes Jakob Meyer, Elies Gil-Fuster and Valentina Parigi and has published in prestigious journals such as Nature Communications, Physical Review A and New Journal of Physics.

In The Last Decade

Co-authorship network of co-authors of Francesco Arzani i

Fields of papers citing papers by Francesco Arzani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco Arzani. 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 Arzani. The network helps show where Francesco Arzani may publish in the future.

Countries citing papers authored by Francesco Arzani

Since Specialization
Citations

This map shows the geographic impact of Francesco Arzani'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 Arzani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Arzani more than expected).

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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2025