Pablo Arias

30 papers and 494 indexed citations i.

About

Pablo Arias is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Pablo Arias has authored 30 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 11 papers in Media Technology and 3 papers in Artificial Intelligence. Recurrent topics in Pablo Arias’s work include Advanced Image Processing Techniques (18 papers), Image and Signal Denoising Methods (18 papers) and Advanced Image Fusion Techniques (10 papers). Pablo Arias is often cited by papers focused on Advanced Image Processing Techniques (18 papers), Image and Signal Denoising Methods (18 papers) and Advanced Image Fusion Techniques (10 papers). Pablo Arias collaborates with scholars based in France, Spain and Uruguay. Pablo Arias's co-authors include Gabriele Facciolo, Jean‐Michel Morel, Guillermo Sapiro, Vicent Caselles, Thibaud Ehret, Axel Davy, Grégory Randall, V. Caselles, Coloma Ballester and Emília Gómez and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and Mathematical Models and Methods in Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Pablo Arias i

Fields of papers citing papers by Pablo Arias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pablo Arias

Since Specialization
Citations

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