Stefano Paesani

45 papers and 1.8k indexed citations i.

About

Stefano Paesani is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Stefano Paesani has authored 45 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 22 papers in Electrical and Electronic Engineering and 16 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Stefano Paesani’s work include Quantum Information and Cryptography (36 papers), Neural Networks and Reservoir Computing (27 papers) and Quantum Computing Algorithms and Architecture (19 papers). Stefano Paesani is often cited by papers focused on Quantum Information and Cryptography (36 papers), Neural Networks and Reservoir Computing (27 papers) and Quantum Computing Algorithms and Architecture (19 papers). Stefano Paesani collaborates with scholars based in United Kingdom, Denmark and China. Stefano Paesani's co-authors include Raffaele Santagati, Mark G. Thompson, Jianwei Wang, Anthony Laing, Jeremy L. O’Brien, Nathan Wiebe, Antonio A. Gentile, Leif Katsuo Oxenløwe, Yunhong Ding and Karsten Rottwitt and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Stefano Paesani i

Fields of papers citing papers by Stefano Paesani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Stefano Paesani

Since Specialization
Citations

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