Romain Hennequin

About

Romain Hennequin is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Romain Hennequin has authored 31 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Signal Processing, 15 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Romain Hennequin’s work include Music and Audio Processing (19 papers), Speech and Audio Processing (10 papers) and Advanced Graph Neural Networks (9 papers). Romain Hennequin is often cited by papers focused on Music and Audio Processing (19 papers), Speech and Audio Processing (10 papers) and Advanced Graph Neural Networks (9 papers). Romain Hennequin collaborates with scholars based in France, Greece and Austria. Romain Hennequin's co-authors include Manuel Moussallam, Guillaume Salha-Galvan, Michalis Vazirgiannis, Roland Badeau, Bertrand David, Darius Afchar, Markus Schedl, Gaël Richard, Florence d’Alché–Buc and Vincent Lostanlen and has published in prestigious journals such as Nature Communications, Neural Networks and IEEE Signal Processing Letters.

In The Last Decade

Co-authorship network of co-authors of Romain Hennequin i

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Fields of papers citing papers by Romain Hennequin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Romain Hennequin

Since Specialization

Citations

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