Javier Artiles

10 papers and 489 indexed citations i.

About

Javier Artiles is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Javier Artiles has authored 10 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Javier Artiles’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Advanced Clustering Algorithms Research (3 papers). Javier Artiles is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Advanced Clustering Algorithms Research (3 papers). Javier Artiles collaborates with scholars based in Spain and United States. Javier Artiles's co-authors include Felisa Verdejo, Julio Gonzalo, Enrique Amigó, Zheng Chen, Suzanne Tamang, Heng Ji, Matthew Snover, Xiang Li, Adam J. Lee and Anselmo Peñas and has published in prestigious journals such as Journal of Artificial Intelligence Research, Information Retrieval and Theory and applications of categories.

In The Last Decade

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

Fields of papers citing papers by Javier Artiles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Javier Artiles

Since Specialization
Citations

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