Ariel Ruiz-Garcia

10 papers and 150 indexed citations i.

About

Ariel Ruiz-Garcia is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Ariel Ruiz-Garcia has authored 10 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Experimental and Cognitive Psychology and 2 papers in Artificial Intelligence. Recurrent topics in Ariel Ruiz-Garcia’s work include Face recognition and analysis (5 papers), Emotion and Mood Recognition (5 papers) and Face and Expression Recognition (4 papers). Ariel Ruiz-Garcia is often cited by papers focused on Face recognition and analysis (5 papers), Emotion and Mood Recognition (5 papers) and Face and Expression Recognition (4 papers). Ariel Ruiz-Garcia collaborates with scholars based in United Kingdom, The Netherlands and Lebanon. Ariel Ruiz-Garcia's co-authors include Vasile Palade, Mark Elshaw, Roozbeh Razavi–Far, Juergen Schmidhuber, Anne James and Mariette Awad and has published in prestigious journals such as Journal of Interpersonal Violence, Neural Computing and Applications and Intelligent systems reference library.

In The Last Decade

Co-authorship network of co-authors of Ariel Ruiz-Garcia i

Fields of papers citing papers by Ariel Ruiz-Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ariel Ruiz-Garcia. 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 Ariel Ruiz-Garcia. The network helps show where Ariel Ruiz-Garcia may publish in the future.

Countries citing papers authored by Ariel Ruiz-Garcia

Since Specialization
Citations

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