Stéphane Ayache

1.0k citations
36 papers · 316 · h-index 9

Impact in

Papers in

    • Video Analysis and Summarization 9
    • Advanced Image and Video Retrieval Techniques 7
    • Multimodal Machine Learning Applications 5
    • Image Retrieval and Classification Techniques 4
    • Human Pose and Action Recognition 3
    • Topic Modeling 4
    • Speech Recognition and Synthesis 4

Stéphane Ayache

32 papers receiving 302 citations

Peers

Stéphane Ayache
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 121
  • Signal Processing 40
  • Artificial Intelligence 114
  • Experimental and Cognitive Psychology 44
  • Computational Mathematics 2
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Citations per field
00.5×4.7×
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Citations per year

Countries citing papers authored by Stéphane Ayache

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Ayache

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202067
2 200440
3 200738
4 201733
5 202216
6 200215
7 200712
8 202411
9 200710
10 20128
11
[Clinical signs and correlation with radiological extent in a series of 117 retrosternal goitre].
20068
12 20206
13 20196
14 20235
15 20085
16 20225
17 20095
18 20223
19 20043
20 20093

About Stéphane Ayache

Stéphane Ayache is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Cognitive Neuroscience and Surgery, having authored 36 papers that have together received 316 indexed citations. Recurring topics across this work include Video Analysis and Summarization (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Multimodal Machine Learning Applications (5 papers), Music and Audio Processing (5 papers), Topic Modeling (4 papers), Speech Recognition and Synthesis (4 papers), Image Retrieval and Classification Techniques (4 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (121 citations), Signal Processing (40 citations), Artificial Intelligence (114 citations), Experimental and Cognitive Psychology (44 citations) and Computational Mathematics (2 citations). Stéphane Ayache has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Georges Quénot, Maurice Ouaknine, Antoine Giovanni, Sérgio Escalera, Meysam Madadi, Rob van Lier, Marcel van Gerven, Yağmur Güçlütürk, Hugo Jair Escalante and Evelyne Viegas. Their work appears in journals such as Journal of Voice, Multimedia Tools and Applications, Acta Oto-Laryngologica, Knowledge and Information Systems and Cancers.

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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