J. A. Becerra

23 papers and 124 indexed citations i.

About

J. A. Becerra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, J. A. Becerra has authored 23 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in J. A. Becerra’s work include Reinforcement Learning in Robotics (8 papers), Evolutionary Algorithms and Applications (5 papers) and Neural Networks and Applications (3 papers). J. A. Becerra is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Evolutionary Algorithms and Applications (5 papers) and Neural Networks and Applications (3 papers). J. A. Becerra collaborates with scholars based in Spain. J. A. Becerra's co-authors include Richard J. Duro, Francisco Bellas, Abraham Prieto, José Sántos, Fernando López Peña, Vicente Díaz Casás, Luís Calvo, José L. Crespo, Jesús A. Santamaría and Manuel Marí‐Beffa and has published in prestigious journals such as Sensors, Information Sciences and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of J. A. Becerra i

Fields of papers citing papers by J. A. Becerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. Becerra. 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 J. A. Becerra. The network helps show where J. A. Becerra may publish in the future.

Countries citing papers authored by J. A. Becerra

Since Specialization
Citations

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