Fernando Rojas

44 papers and 656 indexed citations i.

About

Fernando Rojas is a scholar working on Artificial Intelligence, Signal Processing and Molecular Biology. According to data from OpenAlex, Fernando Rojas has authored 44 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Signal Processing and 7 papers in Molecular Biology. Recurrent topics in Fernando Rojas’s work include Neural Networks and Applications (14 papers), Fuzzy Logic and Control Systems (11 papers) and Blind Source Separation Techniques (7 papers). Fernando Rojas is often cited by papers focused on Neural Networks and Applications (14 papers), Fuzzy Logic and Control Systems (11 papers) and Blind Source Separation Techniques (7 papers). Fernando Rojas collaborates with scholars based in Spain, Cuba and Colombia. Fernando Rojas's co-authors include Ignacio Rojas, Olga Valenzuela, H. Pomares, Luis Javier Herrera, Alberto Guillén, M. Pasadas, Jesús González, Francisco Ortuño, Miguel Damas and Daniel Castillo-Secilla and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Fernando Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fernando Rojas

Since Specialization
Citations

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