Christophe Servan

827 total citations
12 papers, 37 citations indexed

About

Christophe Servan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Christophe Servan has authored 12 papers receiving a total of 37 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Christophe Servan's work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Speech and dialogue systems (7 papers). Christophe Servan is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Speech and dialogue systems (7 papers). Christophe Servan collaborates with scholars based in France and Italy. Christophe Servan's co-authors include Holger Schwenk, Renato De Mori, Loïc Barrault, Frédéric Béchet, Laurent Besacier, Mauro Cettolo, Georges Linarès, Sahar Ghannay, Driss Matrouf and Nicola Bertoldi and has published in prestigious journals such as Machine Translation, HAL (Le Centre pour la Communication Scientifique Directe) and Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing.

In The Last Decade

Christophe Servan

10 papers receiving 31 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Christophe Servan France	4	35	6	3	2	1	12	37
Luoxin Chen United States	4	47 1.3×	9 1.5×	3 1.0×	3 1.5×		5	56
Shreyas Saxena France	2	25 0.7×	9 1.5×	4 1.3×	2 1.0×		3	29
Jessy Lin United States	3	29 0.8×	8 1.3×	2 0.7×	3 1.5×		4	38
Fenfei Guo China	3	29 0.8×	5 0.8×	4 1.3×			5	35
Asier Mujika Switzerland	4	24 0.7×	6 1.0×	4 1.3×			6	34
Telmo Pires Portugal	3	29 0.8×	7 1.2×	2 0.7×			5	32
Till Stegers United States	3	18 0.5×	7 1.2×	2 0.7×	5 2.5×		3	20
Narine Kokhlikyan United States	5	25 0.7×	7 1.2×		3 1.5×	1 1.0×	7	39
Liam Fowl United States	3	14 0.4×	4 0.7×	3 1.0×			9	16
Jesujoba O. Alabi Germany	4	23 0.7×	5 0.8×	1 0.3×	3 1.5×	1 1.0×	13	30

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).

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.

Co-authorship network of co-authors of Christophe Servan

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Servan. A scholar is included among the top collaborators of Christophe Servan 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 Servan. Christophe Servan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Ghannay, Sahar, et al.. (2022). Etude comparative de modèles Transformers en compréhension de la parole en Français. SPIRE - Sciences Po Institutional REpository. 721–730. 1 indexed citations

Ghannay, Sahar, et al.. (2022). Benchmarking Transformers-based models on French Spoken Language Understanding tasks. Interspeech 2022. 1238–1242. 1 indexed citations

Ghannay, Sahar, Christophe Servan, & Sophie Rosset. (2020). Neural Networks approaches focused on French Spoken Language Understanding: application to the MEDIA Evaluation Task. HAL (Le Centre pour la Communication Scientifique Directe). 2722–2727. 1 indexed citations

Servan, Christophe, et al.. (2019). Image search using multilingual texts: a cross-modal learning approach between image and text Maxime Portaz Qwant Research.. 1 indexed citations

Kim, Jun-Gi, Guillaume Klein, Catherine Kobus, et al.. (2017). SYSTRAN Purely Neural MT Engines for WMT2017. 265–270. 2 indexed citations

Servan, Christophe, et al.. (2016). Better Evaluation of ASR in Speech Translation Context Using Word Embeddings. 2538–2542. 2 indexed citations

Cettolo, Mauro, Nicola Bertoldi, Marcello Federico, et al.. (2014). Translation project adaptation for MT-enhanced computer assisted translation. Machine Translation. 28(2). 127–150. 8 indexed citations

Servan, Christophe, Patrik Lambert, Anthony Rousseau, Holger Schwenk, & Loïc Barrault. (2012). LIUM's SMT Machine Translation Systems for WMT 2012. SPIRE - Sciences Po Institutional REpository. 369–373.

Servan, Christophe & Holger Schwenk. (2011). Optimising Multiple Metrics with MERT. The Prague Bulletin of Mathematical Linguistics. 96(1). 6 indexed citations

10.

Servan, Christophe, Nathalie Camelin, Christian Raymond, Frédéric Béchet, & Renato De Mori. (2010). On the use of machine translation for spoken language understanding portability. HAL (Le Centre pour la Communication Scientifique Directe). 5330–5333. 7 indexed citations

11.

Meurs, Marie‐Jean, et al.. (2008). Semantic composition process in a speech understanding system. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 5029–5032. 1 indexed citations

12.

Barrault, Loïc, Christophe Servan, Driss Matrouf, Georges Linarès, & Renato De Mori. (2008). Frame-based acoustic feature integration for speech understanding. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 2. 4997–5000. 7 indexed citations

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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