Diego Castán

25 papers and 298 indexed citations i.

About

Diego Castán is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Diego Castán has authored 25 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 21 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Diego Castán’s work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (19 papers) and Music and Audio Processing (18 papers). Diego Castán is often cited by papers focused on Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (19 papers) and Music and Audio Processing (18 papers). Diego Castán collaborates with scholars based in United States, Spain and Argentina. Diego Castán's co-authors include Mitchell McLaren, Luciana Ferrer, Aaron Lawson, Mahesh Kumar Nandwana, Eduardo Lleida, Alfonso Ortega, Emre Yılmaz, Antonio Miguel, Julien van Hout and Jesús Villalba and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, EURASIP Journal on Audio Speech and Music Processing and Radboud Repository (Radboud University).

In The Last Decade

Co-authorship network of co-authors of Diego Castán i

Fields of papers citing papers by Diego Castán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Diego Castán

Since Specialization
Citations

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