Christophe Servan

9 papers and 30 indexed citations i.

About

Christophe Servan is a scholar working on Artificial Intelligence, Signal Processing and Industrial relations. According to data from OpenAlex, Christophe Servan has authored 9 papers receiving a total of 30 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 1 paper in Signal Processing and 0 papers in Industrial relations. Recurrent topics in Christophe Servan’s work include Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers) and Speech and dialogue systems (6 papers). Christophe Servan is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers) and Speech and dialogue systems (6 papers). Christophe Servan collaborates with scholars based in France and Italy. Christophe Servan's co-authors include Holger Schwenk, Loïc Barrault, Renato De Mori, Frédéric Béchet, Sahar Ghannay, Nathalie Camelin, Christian Raymond, Marcello Federico, Mauro Cettolo and Nicola Bertoldi and has published in prestigious journals such as Machine Translation, HAL (Le Centre pour la Communication Scientifique Directe) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Christophe Servan i

Fields of papers citing papers by Christophe Servan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christophe Servan

Since Specialization
Citations

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