Òscar Celma

23 papers and 400 indexed citations i.

About

Òscar Celma is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Òscar Celma has authored 23 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Signal Processing, 15 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Òscar Celma’s work include Music and Audio Processing (19 papers), Music Technology and Sound Studies (11 papers) and Neuroscience and Music Perception (4 papers). Òscar Celma is often cited by papers focused on Music and Audio Processing (19 papers), Music Technology and Sound Studies (11 papers) and Neuroscience and Music Perception (4 papers). Òscar Celma collaborates with scholars based in Spain, United States and United Kingdom. Òscar Celma's co-authors include Xavier Serra, Pedro Cano, Javier M. Buldú, Markus Koppenberger, Perfecto Herrera, Mohamed Sordo, Paul Lamere, Miquel Ramírez, Cyril Laurier and Juyong Park and has published in prestigious journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, International Journal of Bifurcation and Chaos and AI Magazine.

In The Last Decade

Co-authorship network of co-authors of Òscar Celma i

Fields of papers citing papers by Òscar Celma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Òscar Celma

Since Specialization
Citations

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