Beatrice Da Lio

20 papers and 443 indexed citations i.

About

Beatrice Da Lio is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Beatrice Da Lio has authored 20 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Atomic and Molecular Physics, and Optics and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Beatrice Da Lio’s work include Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (7 papers) and Quantum Mechanics and Applications (7 papers). Beatrice Da Lio is often cited by papers focused on Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (7 papers) and Quantum Mechanics and Applications (7 papers). Beatrice Da Lio collaborates with scholars based in Denmark, Italy and Japan. Beatrice Da Lio's co-authors include Davide Bacco, Daniele Cozzolino, Leif Katsuo Oxenløwe, Yunhong Ding, Karsten Rottwitt, Alessandro Zavatta, Nicola Biagi, Michael Galili, Kjeld Dalgaard and Siddharth Ramachandran and has published in prestigious journals such as Applied Physics Letters, Optics Letters and IEEE Journal of Selected Topics in Quantum Electronics.

In The Last Decade

Co-authorship network of co-authors of Beatrice Da Lio i

Fields of papers citing papers by Beatrice Da Lio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beatrice Da Lio. 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 Beatrice Da Lio. The network helps show where Beatrice Da Lio may publish in the future.

Countries citing papers authored by Beatrice Da Lio

Since Specialization
Citations

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