Daniel Escudero

About

Daniel Escudero is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Daniel Escudero has authored 7 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 3 papers in Information Systems. Recurrent topics in Daniel Escudero’s work include Cryptography and Data Security (6 papers), Combinatorial Optimization and Complexity Theory (6 papers) and Cryptography and Residue Arithmetic (2 papers). Daniel Escudero is often cited by papers focused on Cryptography and Data Security (6 papers), Combinatorial Optimization and Complexity Theory (6 papers) and Cryptography and Residue Arithmetic (2 papers). Daniel Escudero collaborates with scholars based in Denmark, Australia and United States. Daniel Escudero's co-authors include Marcel Keller, Tore Kasper Frederiksen, Peter Schöll, Ivan Damgård, Yifan Song, Antigoni Polychroniadou, Ariel Nof, Vipul Goyal, Carsten Baum and Juan Ramón Troncoso-Pastoriza and has published in prestigious journals such as Journal of Computer Security, Research Portal Denmark and Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.

In The Last Decade

Co-authorship network of co-authors of Daniel Escudero i

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Fields of papers citing papers by Daniel Escudero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Escudero

Since Specialization

Citations

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