Mauro Faccin

15 papers and 456 indexed citations i.

About

Mauro Faccin is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Mauro Faccin has authored 15 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Statistical and Nonlinear Physics and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Mauro Faccin’s work include Complex Network Analysis Techniques (6 papers), Quantum Information and Cryptography (5 papers) and Quantum Computing Algorithms and Architecture (4 papers). Mauro Faccin is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Quantum Information and Cryptography (5 papers) and Quantum Computing Algorithms and Architecture (4 papers). Mauro Faccin collaborates with scholars based in Italy, United Kingdom and Spain. Mauro Faccin's co-authors include Jacob Biamonte, Manlio De Domenico, T. H. Johnson, Piotr Migdał, James Whitfield, Ville Bergholm, Sabre Kais, Zoltán Zimborás, Pierpaolo Bruscolini and Jean‐Charles Delvenne and has published in prestigious journals such as Physical Review Letters, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Mauro Faccin i

Fields of papers citing papers by Mauro Faccin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mauro Faccin

Since Specialization
Citations

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