Nicolas Thome
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- Advanced Image and Video Retrieval Techniques 17
- Image Retrieval and Classification Techniques 10
- Multimodal Machine Learning Applications 9
- Advanced Neural Network Applications 7
- Video Surveillance and Tracking Methods 5
- Human Pose and Action Recognition 3
- Handwritten Text Recognition Techniques 3
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning 9
- Media Technology top 2%
- Signal Processing top 10%
- Co-authors
- Matthieu CordHedi Ben-younesRémi CadèneSerge MiguetSébastien AmbellouisSandra AvilaEduardo ValleArnaldo de Albuquerque Araújo
In The Last Decade
Nicolas Thome
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 860
- Artificial Intelligence 574
- Media Technology 141
- Computational Mathematics 4
- Signal Processing 67
Countries citing papers authored by Nicolas Thome
This map shows the geographic impact of Nicolas Thome'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 Nicolas Thome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Thome more than expected).
Fields of papers citing papers by Nicolas Thome
This network shows the impact of papers produced by Nicolas Thome. 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 Nicolas Thome. The network helps show where Nicolas Thome may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicolas Thome, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 59 | |
| 7 | 2020 | 20 | |
| 8 | Probabilistic Time Series Forecasting with Shape and Temporal Diversity | 2020 | 15 |
| 9 | Addressing Failure Prediction by Learning Model Confidence | 2019 | 118 |
| 10 | 2019 | 190 | |
| 11 | 2019 | 134 | |
| 12 | 2019 | 16 | |
| 13 | 2018 | 2 | |
| 14 | 2017 | 27 | |
| 15 | 2016 | 22 | |
| 16 | 2014 | 4 | |
| 17 | JKernelMachines: a simple framework for kernel machine | 2013 | 4 |
| 18 | BossaNova at ImageCLEF 2012 Flickr Photo Annotation Task | 2012 | 5 |
| 19 | Pedestrian head detection and tracking using skeleton graph for people counting in crowded environments | 2011 | 10 |
| 20 | 2003 | 1 |
About Nicolas Thome
Nicolas Thome is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Media Technology and Signal Processing, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (17 papers), Image Retrieval and Classification Techniques (10 papers), Multimodal Machine Learning Applications (9 papers), Domain Adaptation and Few-Shot Learning (9 papers), Advanced Neural Network Applications (7 papers), Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (3 papers) and Handwritten Text Recognition Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (860 citations), Artificial Intelligence (574 citations), Media Technology (141 citations), Computational Mathematics (4 citations) and Signal Processing (67 citations). Nicolas Thome has collaborated with scholars based in France, Brazil and Singapore. Frequent co-authors include Matthieu Cord, Hedi Ben-younes, Rémi Cadène, Serge Miguet, Sébastien Ambellouis, Sandra Avila, Eduardo Valle, Arnaldo de Albuquerque Araújo, Patrick Pérez and Avner Bar‐Hen. Their work appears in journals such as Computer Vision and Image Understanding, Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Vision and Applications and International Journal of Computer Vision.
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.