Oriane Siméoni
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Visual Attention and Saliency Detection
- Image Retrieval and Classification Techniques
- Image Processing and 3D Reconstruction
Papers in
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- Advanced Image and Video Retrieval Techniques 3
- Multimodal Machine Learning Applications 2
- Advanced Neural Network Applications 2
- Visual Attention and Saliency Detection 2
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- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Patrick Pérez (4 shared papers)Gilles Puy (4 shared papers)Éloi Zablocki (2 shared papers)Vincent Piras (1 shared paper)Kumar Selvarajoo (1 shared paper)Masaru Tomita (1 shared paper)Spyros Gidaris (3 shared papers)Andrei Bursuc (2 shared papers)
- Journals
- International Journal of Computer Vision (2 papers)Machine Vision and Applications (1 paper)Gene (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (2 papers)
In The Last Decade
Oriane Siméoni
8 papers receiving 77 citations
Peers
Comparison fields: 5 of 33
- Computer Vision and Pattern Recognition 42
- Instrumentation 3
- Artificial Intelligence 19
- Environmental Engineering 5
- Signal Processing 3
Countries citing papers authored by Oriane Siméoni
This map shows the geographic impact of Oriane Siméoni'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 Oriane Siméoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oriane Siméoni more than expected).
Fields of papers citing papers by Oriane Siméoni
This network shows the impact of papers produced by Oriane Siméoni. 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 Oriane Siméoni. The network helps show where Oriane Siméoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Oriane Siméoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 35 | |
| 2 | 2015 | 15 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 6 | |
| 5 | 2019 | 5 | |
| 6 | 2025 | 3 | |
| 7 | 2025 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 0 |
About Oriane Siméoni
Oriane Siméoni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Environmental Engineering, Aerospace Engineering and Instrumentation, having authored 9 papers that have together received 80 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Remote Sensing and LiDAR Applications (2 papers), Advanced Neural Network Applications (2 papers), Visual Attention and Saliency Detection (2 papers), Robotics and Sensor-Based Localization (2 papers) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (42 citations), Instrumentation (3 citations), Artificial Intelligence (19 citations), Environmental Engineering (5 citations) and Signal Processing (3 citations). Oriane Siméoni has collaborated with scholars based in France, Czechia and Japan. Frequent co-authors include Patrick Pérez, Gilles Puy, Éloi Zablocki, Vincent Piras, Kumar Selvarajoo, Masaru Tomita, Spyros Gidaris, Andrei Bursuc, Renaud Marlet and Alexandre Boulch. Their work appears in journals such as International Journal of Computer Vision, Machine Vision and Applications, Gene and HAL (Le Centre pour la Communication Scientifique Directe).
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.