Fernando Fausto

16 papers and 711 indexed citations i.

About

Fernando Fausto is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Fernando Fausto has authored 16 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Theory and Mathematics. Recurrent topics in Fernando Fausto’s work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Fernando Fausto is often cited by papers focused on Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Fernando Fausto collaborates with scholars based in Mexico, India and Germany. Fernando Fausto's co-authors include Erik Cuevas, Daniel Zaldívar, Adrián González, Bernardo Morales-Castañeda, Marco Pérez‐Cisneros, Alma Rodríguez, Ángel G. Andrade, Ram Sarkar and Raúl Rojas and has published in prestigious journals such as Applied Soft Computing, Knowledge-Based Systems and Energies.

In The Last Decade

Co-authorship network of co-authors of Fernando Fausto i

Fields of papers citing papers by Fernando Fausto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fernando Fausto

Since Specialization
Citations

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