Nicolas Audebert

2.7k total citations · 2 hit papers
18 papers, 1.3k citations indexed

About

Nicolas Audebert is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Nicolas Audebert has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 4 papers in Artificial Intelligence. Recurrent topics in Nicolas Audebert's work include Advanced Image and Video Retrieval Techniques (5 papers), Remote-Sensing Image Classification (4 papers) and Advanced Neural Network Applications (3 papers). Nicolas Audebert is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Remote-Sensing Image Classification (4 papers) and Advanced Neural Network Applications (3 papers). Nicolas Audebert collaborates with scholars based in France, Italy and United Kingdom. Nicolas Audebert's co-authors include Bertrand Le Saux, Sébastien Lefèvre, Alexandre Boulch, Joris Guerry, Michel Crucianu, Mihai Datcu, Hervé Le Borgne, Jacques Thierry, Rafik Zayani and Michel Guiraud and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Remote Sensing.

In The Last Decade

Nicolas Audebert

16 papers receiving 1.3k citations

Hit Papers

Deep Learning for Classification of Hyperspectral Data: A... 2017 2026 2020 2023 2019 2017 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning for Classification of Hyperspectral Data: A Comparative Review
    2019 490 citations Nicolas Audebert, Bertrand Le Saux et al. IEEE Geoscience and Remote Sensing Magazine profile →
  2. SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks
    2017 269 citations Alexandre Boulch, Joris Guerry et al. Computers & Graphics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolas Audebert France 7 528 419 408 316 258 18 1.3k
Li Yan China 23 352 0.7× 501 1.2× 376 0.9× 260 0.8× 87 0.3× 89 1.2k
Alexandre Boulch France 20 726 1.4× 660 1.6× 702 1.7× 628 2.0× 556 2.2× 46 2.1k
Ronny Hänsch Germany 22 710 1.3× 495 1.2× 387 0.9× 203 0.6× 69 0.3× 97 1.7k
Csaba Benedek Hungary 21 421 0.8× 661 1.6× 300 0.7× 140 0.4× 64 0.2× 72 1.4k
Jaewook Jung Canada 10 326 0.6× 369 0.9× 582 1.4× 401 1.3× 55 0.2× 16 1.0k
Silvano Galliani Switzerland 9 794 1.5× 1.7k 4.0× 389 1.0× 350 1.1× 134 0.5× 14 2.3k
Zilong Zhong Canada 11 1.8k 3.3× 736 1.8× 409 1.0× 222 0.7× 206 0.8× 18 2.6k
Nicolas Paparoditis France 19 223 0.4× 467 1.1× 727 1.8× 487 1.5× 86 0.3× 76 1.4k
Han Hu China 24 296 0.6× 466 1.1× 700 1.7× 621 2.0× 63 0.2× 108 1.6k
Xiangguo Lin China 18 268 0.5× 255 0.6× 931 2.3× 661 2.1× 127 0.5× 43 1.3k

Countries citing papers authored by Nicolas Audebert

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Audebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Audebert

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Audebert. A scholar is included among the top collaborators of Nicolas Audebert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicolas Audebert. Nicolas Audebert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Audebert, Nicolas, et al.. (2025). Optimization of Rank Losses for Image Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(6). 4317–4329.
2.
Audebert, Nicolas, et al.. (2025). Cross-Sensor Self-Supervised Training and Alignment for Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 12278–12289.
3.
Audebert, Nicolas, et al.. (2024). Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series. SPIRE - Sciences Po Institutional REpository. 502–511. 1 indexed citations
4.
Audebert, Nicolas, et al.. (2024). Semantic Generative Augmentations for Few-Shot Counting. HAL (Le Centre pour la Communication Scientifique Directe). 5431–5440. 5 indexed citations
5.
Audebert, Nicolas, et al.. (2023). Wasserstein loss for Semantic Editing in the Latent Space of GANs. SPIRE - Sciences Po Institutional REpository. 55–60. 1 indexed citations
6.
Audebert, Nicolas, et al.. (2022). Multi-Attribute Balanced Sampling for Disentangled GAN Controls. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
7.
Zayani, Rafik, et al.. (2022). Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities. 2022 IEEE Wireless Communications and Networking Conference (WCNC). 1039–1044. 4 indexed citations
8.
Saux, Bertrand Le, et al.. (2020). Semi-Supervised Semantic Segmentation in Earth Observation: The\n MiniFrance Suite, Dataset Analysis and Multi-task Network Study. arXiv (Cornell University). 60 indexed citations
9.
Audebert, Nicolas, et al.. (2020). FLOOD DETECTION IN TIME SERIES OF OPTICAL AND SAR IMAGES. SHILAP Revista de lepidopterología. XLIII-B2-2020. 1343–1346. 53 indexed citations
10.
Audebert, Nicolas, Alexandre Boulch, Bertrand Le Saux, & Sébastien Lefèvre. (2019). Distance transform regression for spatially-aware deep semantic\n segmentation. arXiv (Cornell University). 27 indexed citations
11.
Audebert, Nicolas, Bertrand Le Saux, & Sébastien Lefèvre. (2019). Deep Learning for Classification of Hyperspectral Data: A Comparative Review. IEEE Geoscience and Remote Sensing Magazine. 7(2). 159–173. 490 indexed citations breakdown →
12.
Audebert, Nicolas, et al.. (2018). Object Detection in Remote Sensing Images with Center Only. HAL (Le Centre pour la Communication Scientifique Directe). 7054–7057. 5 indexed citations
13.
Audebert, Nicolas, et al.. (2017). Deep Learning on Hyperspectral Data for Land Use and Vegetation Mapping. Proceedings. 1 indexed citations
14.
Boulch, Alexandre, Bertrand Le Saux, & Nicolas Audebert. (2017). Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks. Eurographics. 176 indexed citations
15.
Wilson, Richard C., Masaki Aono, Nicolas Audebert, et al.. (2017). Point-Cloud Shape Retrieval of Non-Rigid Toys. Eurographics. 75–84. 2 indexed citations
16.
Audebert, Nicolas, Bertrand Le Saux, & Sébastien Lefèvre. (2017). Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images. Remote Sensing. 9(4). 368–368. 200 indexed citations
17.
Boulch, Alexandre, Joris Guerry, Bertrand Le Saux, & Nicolas Audebert. (2017). SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks. Computers & Graphics. 71. 189–198. 269 indexed citations breakdown →
18.
Quesne, Didier, Michel Guiraud, Jean‐Pierre Garcia, et al.. (2000). Marqueurs d'une structuration extensive jurassique en arrière de la marge nord-téthysienne (monts du Mâconnais, Bourgogne, France). Comptes Rendus de l Académie des Sciences - Series IIA - Earth and Planetary Science. 330(9). 623–629. 5 indexed citations

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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