Mathilde Caron

11.6k total citations · 2 hit papers
10 papers, 3.1k citations indexed

About

Mathilde Caron is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Communication. According to data from OpenAlex, Mathilde Caron has authored 10 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Communication. Recurrent topics in Mathilde Caron's work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Mathilde Caron is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Mathilde Caron collaborates with scholars based in United States, France and Israel. Mathilde Caron's co-authors include Armand Joulin, Piotr Bojanowski, Hervé Jeǵou, Hugo Touvron, Ishan Misra, Julien Mairal, Gabriel Synnaeve, Édouard Grave, Alaaeldin El-Nouby and Matthieu Cord and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Mathilde Caron

9 papers receiving 3.0k citations

Hit Papers

Emerging Properties in Self-Supervised Vision Transformers 2021 2026 2022 2024 2021 2022 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathilde Caron United States 5 1.8k 1.4k 335 267 190 10 3.1k
Abhinav Shrivastava United States 20 2.1k 1.1× 1.3k 0.9× 218 0.7× 272 1.0× 154 0.8× 73 3.2k
Sanghyuk Chun South Korea 11 2.2k 1.2× 1.5k 1.0× 280 0.8× 278 1.0× 138 0.7× 21 3.3k
Youngjoon Yoo South Korea 13 2.3k 1.3× 1.6k 1.1× 297 0.9× 281 1.1× 267 1.4× 30 3.5k
Junsuk Choe South Korea 11 2.1k 1.2× 1.6k 1.1× 305 0.9× 284 1.1× 174 0.9× 25 3.2k
Hugo Touvron France 5 2.4k 1.3× 1.7k 1.2× 445 1.3× 407 1.5× 259 1.4× 7 4.1k
Seong Joon Oh Germany 14 2.6k 1.4× 1.8k 1.3× 284 0.8× 344 1.3× 149 0.8× 24 3.8k
Stella X. Yu United States 31 2.8k 1.5× 2.0k 1.4× 363 1.1× 379 1.4× 218 1.1× 123 4.5k
Zhongyue Zhang China 8 1.7k 1.0× 905 0.6× 265 0.8× 368 1.4× 183 1.0× 23 2.9k
Mu Li China 23 1.6k 0.9× 2.0k 1.4× 203 0.6× 228 0.9× 130 0.7× 61 4.0k
Xinlei Chen China 5 1.5k 0.8× 1.6k 1.1× 214 0.6× 216 0.8× 104 0.5× 8 2.8k

Countries citing papers authored by Mathilde Caron

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Caron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathilde Caron

This figure shows the co-authorship network connecting the top 25 collaborators of Mathilde Caron. A scholar is included among the top collaborators of Mathilde Caron 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 Mathilde Caron. Mathilde Caron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Caron, Mathilde, et al.. (2024). A Generative Approach for Wikipedia-Scale Visual Entity Recognition. 17313–17322.
2.
Caron, Mathilde, Neil Houlsby, & Cordelia Schmid. (2024). Location-Aware Self-Supervised Transformers for Semantic Segmentation. 116–126. 3 indexed citations
3.
Beyer, Lucas, Pavel Izmailov, А. И. Колесников, et al.. (2023). FlexiViT: One Model for All Patch Sizes. 14496–14506. 43 indexed citations
4.
Caron, Mathilde, et al.. (2023). Verbs in Action: Improving verb understanding in video-language models. 22 indexed citations
5.
Touvron, Hugo, Piotr Bojanowski, Mathilde Caron, et al.. (2022). ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 5314–5321. 444 indexed citations breakdown →
6.
Assran, Mahmoud, Mathilde Caron, Ishan Misra, et al.. (2021). Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8423–8432. 54 indexed citations
7.
Caron, Mathilde, Hugo Touvron, Ishan Misra, et al.. (2021). Emerging Properties in Self-Supervised Vision Transformers. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9630–9640. 2519 indexed citations breakdown →
8.
Caron, Mathilde. (2018). Unsupervised Representation Learning with Clustering in Deep Convolutional Networks. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
9.
Caron, Mathilde, et al.. (2011). Inaptitude, invalidité, handicap : l'image du « manque » en droit social. HAL (Le Centre pour la Communication Scientifique Directe). 862. 1 indexed citations
10.
Huang, Xinping, et al.. (2003). Unique word detection in the presence of frequency offset. 1296–1299. 2 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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