Antoine Raux

2.0k citations
46 papers · 1.3k indexed · h-index 18

Antoine Raux

43 papers receiving 1.1k citations

Peers

Antoine Raux
Comparison fields: 5 of 60
  • Artificial Intelligence 1.2k
  • Language and Linguistics 90
  • Experimental and Cognitive Psychology 101
  • Social Psychology 155
  • Computer Vision and Pattern Recognition 137
Replace Ryuichiro Higashinaka with:
Ryuichiro Higashinaka Japan
Amy Isard United Kingdom
Gina‐Anne Levow United States
Joseph Mariani France
David Schlangen Germany
Timo Baumann Germany
Simon Keizer United Kingdom
Susanne Burger United States
Pierre Lison Norway
Asunción Moreno Spain
Antoine Raux relative to Ryuichiro Higashinaka Japan Ryuichiro Higashinaka's profile →
Citations per field
00.5×1.5×1.9×
Ryuichiro Higashinaka · 1×
Citations per year

Countries citing papers authored by Antoine Raux

Since Specialization
Citations

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

Fields of papers citing papers by Antoine Raux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Antoine Raux, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Antoine Raux Line = papers co-authored together Antoine Raux links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201438
2 20143
3 20133
4
Landmark-Based Location Belief Tracking in a Spoken Dialog System
201211
5 201119
6
The Dynamics of Action Corrections in Situated Interaction
20106
7
Dialog with robots : papers from the AAAI Fall Symposium
20109
8 201012
9
Optimizing End-of-Turn Detection for Spoken Dialog Systems
20101
10
SIROS: A Framework for Human-Robot Interaction Research in Virtual Worlds
20101
11
Let's go lab: a platform for evaluation of spoken dialog systems with real world users.
20086
12 20081
13 200740
14 200723
15
Doing Research in a Deployed Spoken Dialog System: One Year of Let’s Go! Public Experience
20066
16 200617
17 2005145
18 200415
19 200222
20 200234

About Antoine Raux

Antoine Raux is a scholar working on Artificial Intelligence, Human-Computer Interaction and Language and Linguistics, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Speech and dialogue systems (38 papers), Multi-Agent Systems and Negotiation (16 papers), Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers), Social Robot Interaction and HRI (7 papers), Service-Oriented Architecture and Web Services (5 papers), AI in Service Interactions (5 papers) and Language, Discourse, Communication Strategies (4 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Language and Linguistics (90 citations) and Experimental and Cognitive Psychology (101 citations). Antoine Raux has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Maxine Eskénazi, Alan W. Black, J. D. Williams, Dan Bohus, Brian Langner, Deepak Ramachandran, Matthew Henderson, Tatsuya Kawahara, Alexander I. Rudnicky and Yi Ma.

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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