Alvaro Cintas Canto

About

Alvaro Cintas Canto is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alvaro Cintas Canto has authored 10 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alvaro Cintas Canto’s work include Cryptographic Implementations and Security (10 papers), Coding theory and cryptography (9 papers) and Cryptography and Residue Arithmetic (4 papers). Alvaro Cintas Canto is often cited by papers focused on Cryptographic Implementations and Security (10 papers), Coding theory and cryptography (9 papers) and Cryptography and Residue Arithmetic (4 papers). Alvaro Cintas Canto collaborates with scholars based in United States. Alvaro Cintas Canto's co-authors include Mehran Mozaffari Kermani and Reza Azarderakhsh and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on Reliability.

In The Last Decade

Co-authorship network of co-authors of Alvaro Cintas Canto i

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Fields of papers citing papers by Alvaro Cintas Canto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alvaro Cintas Canto. 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 Alvaro Cintas Canto. The network helps show where Alvaro Cintas Canto may publish in the future.

Countries citing papers authored by Alvaro Cintas Canto

Since Specialization

Citations

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