Guillaume Gravier

54 papers and 1.3k indexed citations i.

About

Guillaume Gravier is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guillaume Gravier has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 33 papers in Signal Processing and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guillaume Gravier’s work include Speech Recognition and Synthesis (25 papers), Speech and Audio Processing (20 papers) and Music and Audio Processing (19 papers). Guillaume Gravier is often cited by papers focused on Speech Recognition and Synthesis (25 papers), Speech and Audio Processing (20 papers) and Music and Audio Processing (19 papers). Guillaume Gravier collaborates with scholars based in France, Spain and United States. Guillaume Gravier's co-authors include C. Neti, Andrew Senior, A. Garg, Frédéric Bimbot, Jean-François Bonastre, Douglas A. Reynolds, Sylvain Meignier, Dijana Petrovska‐Delacrétaz, Téva Merlin and Ivan Magrin‐Chagnolleau and has published in prestigious journals such as Proceedings of the IEEE, Speech Communication and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Co-authorship network of co-authors of Guillaume Gravier i

Fields of papers citing papers by Guillaume Gravier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guillaume Gravier

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025