Ricard Marxer

48 papers and 547 indexed citations i.

About

Ricard Marxer is a scholar working on Signal Processing, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Ricard Marxer has authored 48 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Signal Processing, 17 papers in Artificial Intelligence and 11 papers in Cognitive Neuroscience. Recurrent topics in Ricard Marxer’s work include Music and Audio Processing (23 papers), Speech and Audio Processing (22 papers) and Speech Recognition and Synthesis (16 papers). Ricard Marxer is often cited by papers focused on Music and Audio Processing (23 papers), Speech and Audio Processing (22 papers) and Speech Recognition and Synthesis (16 papers). Ricard Marxer collaborates with scholars based in France, United Kingdom and Spain. Ricard Marxer's co-authors include Jon Barker, Emmanuel Vincent, Shinji Watanabe, Aditya Arie Nugraha, Steve Maddock, H.‐G. Purwins, Guy J. Brown, Adrian Łańcucki, Maarten Grachten and Xavier Serra and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Co-authorship network of co-authors of Ricard Marxer i

Fields of papers citing papers by Ricard Marxer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ricard Marxer

Since Specialization
Citations

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