Roberto Di Candia

34 papers and 734 indexed citations i.

About

Roberto Di Candia is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Roberto Di Candia has authored 34 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 29 papers in Atomic and Molecular Physics, and Optics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Roberto Di Candia’s work include Quantum Information and Cryptography (31 papers), Quantum Computing Algorithms and Architecture (19 papers) and Quantum Mechanics and Applications (13 papers). Roberto Di Candia is often cited by papers focused on Quantum Information and Cryptography (31 papers), Quantum Computing Algorithms and Architecture (19 papers) and Quantum Mechanics and Applications (13 papers). Roberto Di Candia collaborates with scholars based in Spain, Finland and Germany. Roberto Di Candia's co-authors include E. Solano, Mikel Sanz, Julen S. Pedernales, Frank Deppe, J. Casanova, U. Las Heras, Achim Marx, Rudolf Groß, Yasunobu Nakamura and K. Inomata and has published in prestigious journals such as Physical Review Letters, Nature Communications and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Roberto Di Candia i

Fields of papers citing papers by Roberto Di Candia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Di Candia. 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 Roberto Di Candia. The network helps show where Roberto Di Candia may publish in the future.

Countries citing papers authored by Roberto Di Candia

Since Specialization
Citations

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