Christian Raymond

37 papers receiving 418 citations

Peers

Christian Raymond
Comparison fields: 5 of 59
  • Artificial Intelligence 419
  • Signal Processing 75
  • Computer Vision and Pattern Recognition 52
  • Information Systems 15
  • Experimental and Cognitive Psychology 9
Replace Zalán Borsos with:
Zalán Borsos Switzerland
Zhijian Ou China
Kofi Boakye United States
Ilya Oparin France
S.F. Chen United States
Klaus Macherey Germany
Genichiro Kikui Japan
Meng Zhao China
Delphine Charlet France
Hamed Bonab United States
Christian Raymond relative to Zalán Borsos Switzerland Zalán Borsos's profile →
Citations per field
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Zalán Borsos · 1×
Citations per year

Countries citing papers authored by Christian Raymond

Since Specialization
Citations

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

Fields of papers citing papers by Christian Raymond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Raymond

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 2
4 10
5 0
6 7
7 5
8 16
9 7
10 3
11
Reconnaissance robuste d'entités nommées sur de la parole transcrite automatiquement
4
12 7
13 175
14 4
15 7
16
On the Use of Confidence for Statistical Decision in Dialogue Strategies
4
17 3
18
Enrichissement de requêtes pour la recherche documentaire selon une classification non supervisée
1
19 1
20 6

About Christian Raymond

Christian Raymond is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 470 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), Topic Modeling (19 papers) and Speech and dialogue systems (18 papers). The work is most often cited by research in Artificial Intelligence (419 citations), Signal Processing (75 citations) and Computer Vision and Pattern Recognition (52 citations). Christian Raymond has collaborated with scholars based in France, New Zealand and Italy. Frequent co-authors include Giuseppe Riccardi, Renato De Mori, Guillaume Gravier, Frédéric Béchet, Géraldine Damnati, Marco Dinarelli, Qi Chen, Bing Xue, Mengjie Zhang and Alessandro Moschitti. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Audio Speech and Language Processing and IEEE Transactions on Speech and Audio Processing.

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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2026