Fernando Rubio

52 papers and 270 indexed citations i.

About

Fernando Rubio is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Fernando Rubio has authored 52 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Fernando Rubio’s work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (8 papers) and Auction Theory and Applications (6 papers). Fernando Rubio is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (8 papers) and Auction Theory and Applications (6 papers). Fernando Rubio collaborates with scholars based in Spain, Colombia and Morocco. Fernando Rubio's co-authors include Ismael Rodrı́guez, Pablo Rabanal, César Nombela, Rafael Rotger, Manuel Núñez, Jorge Enrique Correa‐Bautista, Robinson Ramírez‐Vélez, Afzal S. Siddiqui, Chris Marnay and Miguel Martínez and has published in prestigious journals such as Microbiology, Applied Soft Computing and Information and Software Technology.

In The Last Decade

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

Fields of papers citing papers by Fernando Rubio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fernando Rubio

Since Specialization
Citations

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