Fernando de Melo

35 papers and 1.9k indexed citations i.

About

Fernando de Melo is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Fernando de Melo has authored 35 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 30 papers in Atomic and Molecular Physics, and Optics and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Fernando de Melo’s work include Quantum Information and Cryptography (29 papers), Quantum Mechanics and Applications (19 papers) and Quantum Computing Algorithms and Architecture (18 papers). Fernando de Melo is often cited by papers focused on Quantum Information and Cryptography (29 papers), Quantum Mechanics and Applications (19 papers) and Quantum Computing Algorithms and Architecture (18 papers). Fernando de Melo collaborates with scholars based in Brazil, Germany and Belgium. Fernando de Melo's co-authors include L. Davidovich, S. P. Walborn, A. Salles, M. P. Almeida, P. H. Souto Ribeiro, M. Hor-Meyll, Andreas Buchleitner, Leandro Aolita, Markus Tiersch and Florian Mintert and has published in prestigious journals such as Science, Physical Review Letters and Nature Physics.

In The Last Decade

Co-authorship network of co-authors of Fernando de Melo i

Fields of papers citing papers by Fernando de Melo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando de Melo. 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 Fernando de Melo. The network helps show where Fernando de Melo may publish in the future.

Countries citing papers authored by Fernando de Melo

Since Specialization
Citations

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