Christophe Veaux

57 total papers · 1.8k total citations
35 papers, 1.1k citations indexed

About

Christophe Veaux is a scholar working on Artificial Intelligence, Signal Processing and Physiology. According to data from OpenAlex, Christophe Veaux has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 7 papers in Signal Processing and 7 papers in Physiology. Recurrent topics in Christophe Veaux's work include Speech Recognition and Synthesis (21 papers), Natural Language Processing Techniques (15 papers) and Speech and dialogue systems (7 papers). Christophe Veaux is often cited by papers focused on Speech Recognition and Synthesis (21 papers), Natural Language Processing Techniques (15 papers) and Speech and dialogue systems (7 papers). Christophe Veaux collaborates with scholars based in France, United Kingdom and Switzerland. Christophe Veaux's co-authors include Junichi Yamagishi, Simon King, Xavier Rodet, Steve Renals, Nicolas Obin, Pierre Lanchantin, Zhizheng Wu, Paweł Świętojański, Fernando Villavicencio and X. Rodet and has published in prestigious journals such as Language Resources and Evaluation, Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi and Edinburgh Research Explorer.

In The Last Decade

Christophe Veaux

33 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Christophe Veaux 787 753 134 125 107 35 1.1k
Jouni Pohjalainen 595 0.8× 614 0.8× 165 1.2× 83 0.7× 156 1.5× 44 995
Jean-Claude Junqua 790 1.0× 729 1.0× 99 0.7× 198 1.6× 238 2.2× 46 1.1k
Oliver Watts 722 0.9× 1.1k 1.4× 150 1.1× 73 0.6× 184 1.7× 64 1.4k
C. Wellekens 744 0.9× 843 1.1× 180 1.3× 50 0.4× 96 0.9× 53 1.1k
Stuart Cunningham 900 1.1× 606 0.8× 261 1.9× 209 1.7× 185 1.7× 49 1.4k
Shinji Takaki 814 1.0× 811 1.1× 123 0.9× 59 0.5× 56 0.5× 50 1.0k
Janet M. Baker 644 0.8× 825 1.1× 80 0.6× 249 2.0× 110 1.0× 36 1.2k
Cassia Valentini-Botinhao 935 1.2× 764 1.0× 80 0.6× 251 2.0× 99 0.9× 50 1.1k
Denis Jouvet 629 0.8× 776 1.0× 110 0.8× 38 0.3× 157 1.5× 88 938
Asunción Moreno 569 0.7× 872 1.2× 128 1.0× 48 0.4× 261 2.4× 35 1.2k

Countries citing papers authored by Christophe Veaux

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Veaux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Veaux

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Veaux. A scholar is included among the top collaborators of Christophe Veaux based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christophe Veaux. Christophe Veaux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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