Christophe Servan
Impact in
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- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Speech Recognition and Synthesis
- Text Readability and Simplification
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 9
- Topic Modeling 8
- Speech and dialogue systems 7
- Speech Recognition and Synthesis 3
- Semantic Web and Ontologies 1
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- Advanced Image and Video Retrieval Techniques 1
- Co-authors
- Holger Schwenk (3 shared papers)Loïc Barrault (3 shared papers)Renato De Mori (3 shared papers)Frédéric Béchet (2 shared papers)Georges Linarès (1 shared paper)Mauro Cettolo (1 shared paper)Nicola Bertoldi (1 shared paper)Sophie Rosset (3 shared papers)
- Journals
- Machine Translation (1 paper)The Prague Bulletin of Mathematical Linguistics (1 paper)SPIRE - Sciences Po Institutional REpository (2 papers)Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing (1 paper)Interspeech 2022 (1 paper)
In The Last Decade
Christophe Servan
10 papers receiving 31 citations
Peers
Comparison fields: 5 of 9
- Artificial Intelligence 35
- Computer Vision and Pattern Recognition 6
- Signal Processing 3
- Communication 1
- Health 1
Countries citing papers authored by Christophe Servan
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
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-authors
The 25 scholars most cited alongside Christophe Servan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 8 | |
| 2 | 2010 | 7 | |
| 3 | 2008 | 7 | |
| 4 | 2011 | 6 | |
| 5 | 2017 | 2 | |
| 6 | 2016 | 2 | |
| 7 | Image search using multilingual texts: a cross-modal learning approach between image and text Maxime Portaz Qwant Research. | 2019 | 1 |
| 8 | 2008 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2022 | 1 | |
| 12 | LIUM's SMT Machine Translation Systems for WMT 2012 | 2012 | 0 |
About Christophe Servan
Christophe Servan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology and Infectious Diseases, having authored 12 papers that have together received 37 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers), Speech and dialogue systems (7 papers), Speech Recognition and Synthesis (3 papers), Semantic Web and Ontologies (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Phonetics and Phonology Research (1 paper) and Speech and Audio Processing (1 paper). The work is most often cited by research in Artificial Intelligence (35 citations), Computer Vision and Pattern Recognition (6 citations), Signal Processing (3 citations), Communication (1 citation) and Health (1 citation). Christophe Servan has collaborated with scholars based in France and Italy. Frequent co-authors include Holger Schwenk, Loïc Barrault, Renato De Mori, Frédéric Béchet, Georges Linarès, Mauro Cettolo, Nicola Bertoldi, Sophie Rosset, Sahar Ghannay and Nathalie Camelin. Their work appears in journals such as Machine Translation, The Prague Bulletin of Mathematical Linguistics, SPIRE - Sciences Po Institutional REpository, Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing and Interspeech 2022.
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.