Pablo Riera

14 papers and 240 indexed citations i.

About

Pablo Riera is a scholar working on Signal Processing, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Pablo Riera has authored 14 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 7 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Pablo Riera’s work include Music and Audio Processing (7 papers), Speech and Audio Processing (5 papers) and Speech Recognition and Synthesis (5 papers). Pablo Riera is often cited by papers focused on Music and Audio Processing (7 papers), Speech and Audio Processing (5 papers) and Speech Recognition and Synthesis (5 papers). Pablo Riera collaborates with scholars based in Argentina, United States and United Kingdom. Pablo Riera's co-authors include Luciana Ferrer, Agustı́n Gravano, Marcos A. Trevisan, Mariano Sigman, Manuel C. Eguía, Qian Janice Wang, Charles Spence, M. Florencia Assaneo, Facundo Carrillo and Adolfo M. García and has published in prestigious journals such as Scientific Reports, Behavior Research Methods and Computer Speech & Language.

In The Last Decade

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

Fields of papers citing papers by Pablo Riera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pablo Riera

Since Specialization
Citations

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