Mario García-Valdéz

About

Mario García-Valdéz is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Mario García-Valdéz has authored 32 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 4 papers in Sociology and Political Science. Recurrent topics in Mario García-Valdéz’s work include Metaheuristic Optimization Algorithms Research (15 papers), Evolutionary Algorithms and Applications (14 papers) and Fuzzy Logic and Control Systems (9 papers). Mario García-Valdéz is often cited by papers focused on Metaheuristic Optimization Algorithms Research (15 papers), Evolutionary Algorithms and Applications (14 papers) and Fuzzy Logic and Control Systems (9 papers). Mario García-Valdéz collaborates with scholars based in Mexico, Spain and Poland. Mario García-Valdéz's co-authors include Oscar Castillo, Leticia Amador-Angulo, Juan R. Castro, Patricia Melín, José Soria, Frumen Olivas, Fevrier Valdez, J. J. Merelo, Leonardo Trujillo and Erica L. Corral and has published in prestigious journals such as Journal of the American Ceramic Society, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Mario García-Valdéz i

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Fields of papers citing papers by Mario García-Valdéz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario García-Valdéz

Since Specialization

Citations

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