Gilles Adda

42 papers and 1.1k indexed citations i.

About

Gilles Adda is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gilles Adda has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 15 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gilles Adda’s work include Speech Recognition and Synthesis (28 papers), Natural Language Processing Techniques (25 papers) and Music and Audio Processing (12 papers). Gilles Adda is often cited by papers focused on Speech Recognition and Synthesis (28 papers), Natural Language Processing Techniques (25 papers) and Music and Audio Processing (12 papers). Gilles Adda collaborates with scholars based in France, United States and Germany. Gilles Adda's co-authors include Lori Lamel, Jean‐Luc Gauvain, Karën Fort, Kevin Bretonnel Cohen, Martine Adda‐Decker, J.-L. Gauvain, Philippe Boula de Mareüil, Holger Schwenk, Fabrice Lefèvre and M. Jardino and has published in prestigious journals such as Communications of the ACM, Computational Linguistics and Speech Communication.

In The Last Decade

Co-authorship network of co-authors of Gilles Adda i

Fields of papers citing papers by Gilles Adda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gilles Adda

Since Specialization
Citations

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