Oriol Nieto

23 papers and 1.6k indexed citations i.

About

Oriol Nieto is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Oriol Nieto has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Signal Processing, 16 papers in Computer Vision and Pattern Recognition and 8 papers in Cognitive Neuroscience. Recurrent topics in Oriol Nieto’s work include Music and Audio Processing (22 papers), Music Technology and Sound Studies (15 papers) and Speech and Audio Processing (11 papers). Oriol Nieto is often cited by papers focused on Music and Audio Processing (22 papers), Music Technology and Sound Studies (15 papers) and Speech and Audio Processing (11 papers). Oriol Nieto collaborates with scholars based in United States, Spain and Austria. Oriol Nieto's co-authors include Brian McFee, Colin Raffel, Daniel P. W. Ellis, Dawen Liang, Eric Battenberg, Matt McVicar, Xavier Serra, Sergio Oramas, Francesco Barbieri and Justin Salamon and has published in prestigious journals such as Frontiers in Psychology, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Oriol Nieto i

Fields of papers citing papers by Oriol Nieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Oriol Nieto

Since Specialization
Citations

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