Francisco Bellas

58 papers and 397 indexed citations i.

About

Francisco Bellas is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francisco Bellas has authored 58 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francisco Bellas’s work include Reinforcement Learning in Robotics (25 papers), Evolutionary Algorithms and Applications (16 papers) and AI-based Problem Solving and Planning (12 papers). Francisco Bellas is often cited by papers focused on Reinforcement Learning in Robotics (25 papers), Evolutionary Algorithms and Applications (16 papers) and AI-based Problem Solving and Planning (12 papers). Francisco Bellas collaborates with scholars based in Spain, Denmark and Austria. Francisco Bellas's co-authors include Richard J. Duro, J. A. Becerra, Abraham Prieto, Juan Raposo, Alberto Pan, Fernando López Peña, Andrés Faíña, Manuel Álvarez, Fidel Cacheda and Rodrigo Salgado and has published in prestigious journals such as Sensors, Information Sciences and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Francisco Bellas i

Fields of papers citing papers by Francisco Bellas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francisco Bellas

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025