Lorenzo Maccone

129 papers and 11.6k indexed citations i.

About

Lorenzo Maccone is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Lorenzo Maccone has authored 129 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Artificial Intelligence, 110 papers in Atomic and Molecular Physics, and Optics and 21 papers in Statistical and Nonlinear Physics. Recurrent topics in Lorenzo Maccone’s work include Quantum Information and Cryptography (109 papers), Quantum Mechanics and Applications (84 papers) and Quantum Computing Algorithms and Architecture (54 papers). Lorenzo Maccone is often cited by papers focused on Quantum Information and Cryptography (109 papers), Quantum Mechanics and Applications (84 papers) and Quantum Computing Algorithms and Architecture (54 papers). Lorenzo Maccone collaborates with scholars based in Italy, United States and Australia. Lorenzo Maccone's co-authors include Vittorio Giovannetti, Seth Lloyd, Jeffrey H. Shapiro, Rafał Demkowicz-Dobrzański, Saikat Guha, Arun Kumar Pati, Chiara Macchiavello, Giacomo Mauro D’Ariano, Franco N. C. Wong and Stefano Pirandola and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Co-authorship network of co-authors of Lorenzo Maccone i

Fields of papers citing papers by Lorenzo Maccone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lorenzo Maccone

Since Specialization
Citations

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