Leonardo Neves

49 papers and 999 indexed citations i.

About

Leonardo Neves is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Acoustics and Ultrasonics. According to data from OpenAlex, Leonardo Neves has authored 49 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 37 papers in Atomic and Molecular Physics, and Optics and 5 papers in Acoustics and Ultrasonics. Recurrent topics in Leonardo Neves’s work include Quantum Information and Cryptography (39 papers), Quantum Mechanics and Applications (30 papers) and Quantum Computing Algorithms and Architecture (22 papers). Leonardo Neves is often cited by papers focused on Quantum Information and Cryptography (39 papers), Quantum Mechanics and Applications (30 papers) and Quantum Computing Algorithms and Architecture (22 papers). Leonardo Neves collaborates with scholars based in Chile, Brazil and Argentina. Leonardo Neves's co-authors include C. Saavedra, G. Lima, S. Pádua, A. Delgado, C. H. Monken, Asticio Vargas, R. Guzmán, Francesco Barbieri, Luis Espinosa-Anke and Daniel Loureiro and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Physical Review A.

In The Last Decade

Co-authorship network of co-authors of Leonardo Neves i

Fields of papers citing papers by Leonardo Neves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leonardo Neves

Since Specialization
Citations

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