Juan Miguel Vilar

17 papers and 257 indexed citations i.

About

Juan Miguel Vilar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Juan Miguel Vilar has authored 17 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Juan Miguel Vilar’s work include Natural Language Processing Techniques (12 papers), Topic Modeling (6 papers) and Speech and dialogue systems (5 papers). Juan Miguel Vilar is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (6 papers) and Speech and dialogue systems (5 papers). Juan Miguel Vilar collaborates with scholars based in Spain and Germany. Juan Miguel Vilar's co-authors include Enrique Vidal, Francisco Casacuberta, Sergio Barrachina, Hermann Ney, David Llorens, Jorge Civera, Andrés M. Alonso, José A. Vilar, Antonio L. Lagarda and Oliver Bender and has published in prestigious journals such as Pattern Recognition, Computational Statistics & Data Analysis and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Juan Miguel Vilar i

Fields of papers citing papers by Juan Miguel Vilar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Miguel Vilar. 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 Juan Miguel Vilar. The network helps show where Juan Miguel Vilar may publish in the future.

Countries citing papers authored by Juan Miguel Vilar

Since Specialization
Citations

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