Frédéric Elisei

27 papers receiving 403 citations

Peers

Frédéric Elisei
Comparison fields: 5 of 60
  • Signal Processing 180
  • Human-Computer Interaction 75
  • Experimental and Cognitive Psychology 113
  • Computer Vision and Pattern Recognition 143
  • Social Psychology 131
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Sascha Fagel Germany
Piero Cosi Italy
Samer Al Moubayed Sweden
Mikio Nakano Japan
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Barry-John Theobald United Kingdom
Chaoran Liu Japan
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Citations per year

Countries citing papers authored by Frédéric Elisei

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Elisei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frédéric Elisei, 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 Frédéric Elisei Line = papers co-authored together Frédéric Elisei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201299
2 201058
3 200354
4 200847
5 201047
6
Creating and controlling video-realistic talking heads.
200123
7 200517
8 201514
9 201213
10 201613
11 201313
12 200910
13 20047
14 20175
15 20164
16 20154
17
Evaluation of a Speech Cuer: From Motion Capture to a Concatenative Text-to-cued Speech System
20043
18 20143
19 20073
20 20052

About Frédéric Elisei

Frédéric Elisei is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology and Social Psychology, having authored 29 papers that have together received 449 indexed citations. Recurring topics across this work include Speech and Audio Processing (11 papers), Social Robot Interaction and HRI (8 papers), Face recognition and analysis (7 papers), Speech and dialogue systems (6 papers), Face Recognition and Perception (4 papers), Gaze Tracking and Assistive Technology (3 papers), Multisensory perception and integration (3 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Signal Processing (180 citations), Human-Computer Interaction (75 citations), Experimental and Cognitive Psychology (113 citations), Computer Vision and Pattern Recognition (143 citations) and Social Psychology (131 citations). Frédéric Elisei has collaborated with scholars based in France, Italy and Greece. Frequent co-authors include Gérard Bailly, Pierre Badin, Sascha Fagel, Yuliya Tarabalka, Maxime Bérar, Barry-John Theobald, Peter Ford Dominey, Jocelyne Ventre‐Dominey, Ugo Pattacini and Alaeddine Mihoub. Their work appears in journals such as Speech Communication, Pattern Recognition Letters, JMIR Rehabilitation and Assistive Technologies, Language Resources and Evaluation and International Journal of Speech Technology.

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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