Germán Sáez

13 papers and 111 indexed citations i.

About

Germán Sáez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Germán Sáez has authored 13 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Theory and Mathematics. Recurrent topics in Germán Sáez’s work include Cryptography and Data Security (12 papers), Chaos-based Image/Signal Encryption (7 papers) and Combinatorial Optimization and Complexity Theory (6 papers). Germán Sáez is often cited by papers focused on Cryptography and Data Security (12 papers), Chaos-based Image/Signal Encryption (7 papers) and Combinatorial Optimization and Complexity Theory (6 papers). Germán Sáez collaborates with scholars based in Spain and The Netherlands. Germán Sáez's co-authors include Javier Herranz, Carles Padró, Sergio Cabello, Vanesa Daza, Jorge L. Villar and Giovanni Di Crescenzo and has published in prestigious journals such as IEEE Transactions on Computers, Discrete Applied Mathematics and Information Processing Letters.

In The Last Decade

Co-authorship network of co-authors of Germán Sáez i

Fields of papers citing papers by Germán Sáez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Germán Sáez

Since Specialization
Citations

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