Javier García

About

Javier García is a scholar working on Artificial Intelligence, Control and Systems Engineering and Management Information Systems. According to data from OpenAlex, Javier García has authored 24 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 4 papers in Management Information Systems. Recurrent topics in Javier García’s work include Reinforcement Learning in Robotics (13 papers), Adversarial Robustness in Machine Learning (5 papers) and Evolutionary Algorithms and Applications (4 papers). Javier García is often cited by papers focused on Reinforcement Learning in Robotics (13 papers), Adversarial Robustness in Machine Learning (5 papers) and Evolutionary Algorithms and Applications (4 papers). Javier García collaborates with scholars based in Spain, France and United States. Javier García's co-authors include Fernando Fernández, Manuela Veloso, Álvaro Torralba, Ángel García‐Olaya, Daniel Borrajo, Carlos Linares López, Roberto Iglesias, Carlos V. Regueiro, Pablo Bustos and Rebeca Marfil and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Javier García i

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Fields of papers citing papers by Javier García

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Javier García

Since Specialization

Citations

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