Stéphane Ayache

1.1k citations
64 papers · 751 · h-index 14

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 22
    • Video Analysis and Summarization 19
    • Image Retrieval and Classification Techniques 11
    • Multimodal Machine Learning Applications 9
    • Domain Adaptation and Few-Shot Learning 7
    • Machine Learning and Algorithms 7
    • Topic Modeling 6

Stéphane Ayache

59 papers receiving 687 citations

Peers

Stéphane Ayache
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 428
  • Signal Processing 93
  • Artificial Intelligence 269
  • Computational Mathematics 4
  • Health Informatics 8
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Citations per field
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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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200896
2 201493
3 202073
4 200748
5 200748
6 201746
7 200441
8 200726
9
TRECVID 2007 Collaborative Annotation using Active Learning
200720
10 202218
11 202415
12 200715
13 200215
14
IRIM at TRECVID2009: High Level Feature Extraction
200914
15
IRIM at TRECVID 2011: Semantic Indexing and Instance Search
201111
16 200610
17 200910
18 20129
19
CLIPS-LSR Experiments at TRECVID 2006
20069
20
[Clinical signs and correlation with radiological extent in a series of 117 retrosternal goitre].
20068

About Stéphane Ayache

Stéphane Ayache is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Otorhinolaryngology and Cognitive Neuroscience, having authored 64 papers that have together received 751 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (22 papers), Video Analysis and Summarization (19 papers), Image Retrieval and Classification Techniques (11 papers), Music and Audio Processing (10 papers), Multimodal Machine Learning Applications (9 papers), Domain Adaptation and Few-Shot Learning (7 papers), Machine Learning and Algorithms (7 papers) and Topic Modeling (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (428 citations), Signal Processing (93 citations), Artificial Intelligence (269 citations), Computational Mathematics (4 citations) and Health Informatics (8 citations). Stéphane Ayache has collaborated with scholars based in France, Netherlands and United States. Frequent co-authors include Georges Quénot, Emilie Morvant, Amaury Habrard, Jérôme Gensel, Meysam Madadi, Sérgio Escalera, Hugo Jair Escalante-Balderas, Evelyne Viegas, Yağmur Güçlütürk and Julio C. S. Jacques. Their work appears in journals such as Machine Learning, IEEE Transactions on Affective Computing, Otology & Neurotology, eLife and Multimedia Tools and Applications.

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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