Angelo Bassi

128 papers and 3.5k indexed citations i.

About

Angelo Bassi is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Angelo Bassi has authored 128 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Atomic and Molecular Physics, and Optics, 77 papers in Artificial Intelligence and 41 papers in Statistical and Nonlinear Physics. Recurrent topics in Angelo Bassi’s work include Quantum Mechanics and Applications (101 papers), Quantum Information and Cryptography (74 papers) and Advanced Thermodynamics and Statistical Mechanics (32 papers). Angelo Bassi is often cited by papers focused on Quantum Mechanics and Applications (101 papers), Quantum Information and Cryptography (74 papers) and Advanced Thermodynamics and Statistical Mechanics (32 papers). Angelo Bassi collaborates with scholars based in Italy, United Kingdom and Germany. Angelo Bassi's co-authors include G. C. Ghirardi, Hendrik Ulbricht, Kinjalk Lochan, Seema Satin, Tejinder P. Singh, Stephen L. Adler, Matteo Carlesso, Sandro Donadi, Luca Ferialdi and André Großardt 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 Angelo Bassi i

Fields of papers citing papers by Angelo Bassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Angelo Bassi

Since Specialization
Citations

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