Jean-François Sérignat

7 papers and 93 indexed citations i.

About

Jean-François Sérignat is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jean-François Sérignat has authored 7 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 3 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jean-François Sérignat’s work include Speech and Audio Processing (4 papers), Music and Audio Processing (3 papers) and Phonocardiography and Auscultation Techniques (2 papers). Jean-François Sérignat is often cited by papers focused on Speech and Audio Processing (4 papers), Music and Audio Processing (3 papers) and Phonocardiography and Auscultation Techniques (2 papers). Jean-François Sérignat collaborates with scholars based in United States, France and Australia. Jean-François Sérignat's co-authors include Eric Castelli, Laurent Besacier, Michel Vacher, Dan Istrate, Norbert Noury, Anthony Fleury, Dominique Vaufreydaz, Laurent Besacier and Le Xuan Hung and has published in prestigious journals such as Language Resources and Evaluation, Phonetica and IEEE Transactions on Information Technology in Biomedicine.

In The Last Decade

Co-authorship network of co-authors of Jean-François Sérignat i

Fields of papers citing papers by Jean-François Sérignat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-François Sérignat. 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 Jean-François Sérignat. The network helps show where Jean-François Sérignat may publish in the future.

Countries citing papers authored by Jean-François Sérignat

Since Specialization
Citations

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