Slim Essid

42 papers and 553 indexed citations i.

About

Slim Essid is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Slim Essid has authored 42 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Signal Processing, 19 papers in Computer Vision and Pattern Recognition and 13 papers in Artificial Intelligence. Recurrent topics in Slim Essid’s work include Speech and Audio Processing (31 papers), Music and Audio Processing (25 papers) and Speech Recognition and Synthesis (10 papers). Slim Essid is often cited by papers focused on Speech and Audio Processing (31 papers), Music and Audio Processing (25 papers) and Speech Recognition and Synthesis (10 papers). Slim Essid collaborates with scholars based in France, United Kingdom and Belgium. Slim Essid's co-authors include Gaël Richard, Cyril Joder, Cédric Févotte, Romain Serizel, Gaël Richard, Olivier Cappé, Titouan Parcollet, Bertrand David, Irina Illina and Olivier Gillet and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Co-authorship network of co-authors of Slim Essid i

Fields of papers citing papers by Slim Essid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Slim Essid

Since Specialization
Citations

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