Matteo Bina

36 papers and 803 indexed citations i.

About

Matteo Bina is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Matteo Bina has authored 36 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atomic and Molecular Physics, and Optics, 32 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Matteo Bina’s work include Quantum Information and Cryptography (32 papers), Quantum Mechanics and Applications (18 papers) and Quantum optics and atomic interactions (14 papers). Matteo Bina is often cited by papers focused on Quantum Information and Cryptography (32 papers), Quantum Mechanics and Applications (18 papers) and Quantum optics and atomic interactions (14 papers). Matteo Bina collaborates with scholars based in Italy, United Kingdom and Iran. Matteo Bina's co-authors include Matteo G. A. Paris, Stefano Olivares, Louis Garbe, A. Keller, Simone Felicetti, F. Ferri, D. Magatti, A. Gatti, L. A. Lugiato and Claudia Benedetti and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Physical Review A.

In The Last Decade

Co-authorship network of co-authors of Matteo Bina i

Fields of papers citing papers by Matteo Bina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matteo Bina

Since Specialization
Citations

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