Mario Díaz

21 papers and 287 indexed citations i.

About

Mario Díaz is a scholar working on Artificial Intelligence, Statistics and Probability and Electrical and Electronic Engineering. According to data from OpenAlex, Mario Díaz has authored 21 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Mario Díaz’s work include Privacy-Preserving Technologies in Data (7 papers), Random Matrices and Applications (5 papers) and Wireless Communication Security Techniques (4 papers). Mario Díaz is often cited by papers focused on Privacy-Preserving Technologies in Data (7 papers), Random Matrices and Applications (5 papers) and Wireless Communication Security Techniques (4 papers). Mario Díaz collaborates with scholars based in Mexico, United States and Canada. Mario Díaz's co-authors include Shahab Asoodeh, Tamás Linder, Fady Alajaji, Flávio P. Calmon, Lalitha Sankar, Peter Kairouz, José Cândido Silveira Santos Filho, Julio César Carrero, L Ortíz-Ortíz and Bertha Espinoza and has published in prestigious journals such as IEEE Transactions on Information Theory, Infection and Immunity and Probability Theory and Related Fields.

In The Last Decade

Co-authorship network of co-authors of Mario Díaz i

Fields of papers citing papers by Mario Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Díaz

Since Specialization
Citations

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