Francisco García-Lagos

20 papers and 325 indexed citations i.

About

Francisco García-Lagos is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francisco García-Lagos has authored 20 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francisco García-Lagos’s work include Neural Networks and Applications (8 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Fuzzy Logic and Control Systems (3 papers). Francisco García-Lagos is often cited by papers focused on Neural Networks and Applications (8 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Fuzzy Logic and Control Systems (3 papers). Francisco García-Lagos collaborates with scholars based in Spain, Ecuador and Cuba. Francisco García-Lagos's co-authors include E. Casilari, Gonzalo Joya, F. Sandoval, Miguel Atencia, David Alaminos, Cătălin Stoean, Luis Velázquez‐Pérez, Ruxandra Stoean, Javier Medina and Michael J. Allen and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Francisco García-Lagos i

Fields of papers citing papers by Francisco García-Lagos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francisco García-Lagos

Since Specialization
Citations

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