Mohamed Sordo

19 papers and 231 indexed citations i.

About

Mohamed Sordo is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Mohamed Sordo has authored 19 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Signal Processing, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Mohamed Sordo’s work include Music and Audio Processing (19 papers), Music Technology and Sound Studies (9 papers) and Diverse Musicological Studies (5 papers). Mohamed Sordo is often cited by papers focused on Music and Audio Processing (19 papers), Music Technology and Sound Studies (9 papers) and Diverse Musicological Studies (5 papers). Mohamed Sordo collaborates with scholars based in Spain, United States and Portugal. Mohamed Sordo's co-authors include Cyril Laurier, Xavier Serra, Perfecto Herrera, Joan Serrà, Òscar Celma, Sergio Oramas, Luis Espinosa-Anke, Fabien Gouyon, Horacio Saggion and Claudiu S. Firan and has published in prestigious journals such as Language Resources and Evaluation, Data & Knowledge Engineering and Computer Music Journal.

In The Last Decade

Co-authorship network of co-authors of Mohamed Sordo i

Fields of papers citing papers by Mohamed Sordo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohamed Sordo

Since Specialization
Citations

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