Matthieu Paul

576 total citations · 1 hit paper
2 papers, 286 citations indexed

About

Matthieu Paul is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Infectious Diseases. According to data from OpenAlex, Matthieu Paul has authored 2 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Safety, Risk, Reliability and Quality and 0 papers in Infectious Diseases. Recurrent topics in Matthieu Paul's work include Multimodal Machine Learning Applications (1 paper), Advanced Neural Network Applications (1 paper) and Fire Detection and Safety Systems (1 paper). Matthieu Paul is often cited by papers focused on Multimodal Machine Learning Applications (1 paper), Advanced Neural Network Applications (1 paper) and Fire Detection and Safety Systems (1 paper). Matthieu Paul collaborates with scholars based in Switzerland. Matthieu Paul's co-authors include Martin Danelljan, Luc Van Gool, Christoph Mayer, Fisher Yu, Danda Pani Paudel, Goutam Bhat and Radu Timofte and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Matthieu Paul

2 papers receiving 279 citations

Hit Papers

Transforming Model Prediction for Tracking 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthieu Paul Switzerland 2 246 82 51 27 26 2 286
Hossein Ghanei-Yakhdan Iran 4 258 1.0× 106 1.3× 47 0.9× 30 1.1× 31 1.2× 11 297
Yabin Zhu China 7 374 1.5× 147 1.8× 43 0.8× 29 1.1× 26 1.0× 11 415
Yangliu Kuai China 10 159 0.6× 68 0.8× 42 0.8× 24 0.9× 27 1.0× 28 211
En Yu China 6 266 1.1× 73 0.9× 56 1.1× 25 0.9× 53 2.0× 15 303
Jana Nosková Czechia 3 175 0.7× 75 0.9× 28 0.5× 39 1.4× 13 0.5× 6 201
Thang Ba Dinh Vietnam 7 451 1.8× 92 1.1× 35 0.7× 45 1.7× 43 1.7× 13 469
Chengli Zhu China 3 217 0.9× 86 1.0× 28 0.5× 9 0.3× 11 0.4× 6 242
Yilei Xiong China 2 288 1.2× 91 1.1× 68 1.3× 23 0.9× 23 0.9× 3 313
Mingfei Han China 5 181 0.7× 66 0.8× 24 0.5× 25 0.9× 58 2.2× 10 209

Countries citing papers authored by Matthieu Paul

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Paul

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

All Works

2 of 2 papers shown
1.
Mayer, Christoph, Martin Danelljan, Goutam Bhat, et al.. (2022). Transforming Model Prediction for Tracking. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8721–8730. 263 indexed citations breakdown →
2.
Paul, Matthieu, Martin Danelljan, Luc Van Gool, & Radu Timofte. (2021). Local Memory Attention for Fast Video Semantic Segmentation. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 23 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026