Michele Mosca

82 papers and 4.2k indexed citations i.

About

Michele Mosca is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michele Mosca has authored 82 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Artificial Intelligence, 35 papers in Computational Theory and Mathematics and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michele Mosca’s work include Quantum Computing Algorithms and Architecture (67 papers), Quantum Information and Cryptography (46 papers) and Quantum-Dot Cellular Automata (22 papers). Michele Mosca is often cited by papers focused on Quantum Computing Algorithms and Architecture (67 papers), Quantum Information and Cryptography (46 papers) and Quantum-Dot Cellular Automata (22 papers). Michele Mosca collaborates with scholars based in Canada, United Kingdom and United States. Michele Mosca's co-authors include Jonathan A. Jones, Richard Cleve, Dmitri Maslov, Artur Ekert, Chiara Macchiavello, Matthew Amy, Rasmus Hvass Hansen, Phillip Kaye, Raymond Laflamme and Vadym Kliuchnikov and has published in prestigious journals such as Nature, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Michele Mosca i

Fields of papers citing papers by Michele Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michele Mosca

Since Specialization
Citations

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