Pascal Mettes

1.5k total citations
38 papers, 434 citations indexed

About

Pascal Mettes is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Pascal Mettes has authored 38 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Pascal Mettes's work include Multimodal Machine Learning Applications (15 papers), Human Pose and Action Recognition (12 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Pascal Mettes is often cited by papers focused on Multimodal Machine Learning Applications (15 papers), Human Pose and Action Recognition (12 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Pascal Mettes collaborates with scholars based in Netherlands, United States and Finland. Pascal Mettes's co-authors include Cees G. M. Snoek, D.C. Koelma, Zenglin Shi, Robby T. Tan, Remco C. Veltkamp, Thomas Mensink, Subhransu Maji, Jan C. van Gemert, Nanne van Noord and Tao Hu and has published in prestigious journals such as International Journal of Computer Vision, Computer Vision and Image Understanding and Dentomaxillofacial Radiology.

In The Last Decade

Pascal Mettes

34 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pascal Mettes Netherlands 12 339 167 24 24 22 38 434
Baigui Sun China 10 374 1.1× 277 1.7× 18 0.8× 43 1.8× 42 1.9× 20 530
Nijad Al-Najdawi Jordan 12 316 0.9× 126 0.8× 18 0.8× 43 1.8× 35 1.6× 30 441
Yuanyi Zhong United States 8 268 0.8× 185 1.1× 8 0.3× 41 1.7× 38 1.7× 10 392
C H Chen United States 5 173 0.5× 74 0.4× 11 0.5× 22 0.9× 16 0.7× 6 330
Kan Chen United States 10 300 0.9× 182 1.1× 5 0.2× 13 0.5× 14 0.6× 21 404
Aming Wu China 14 526 1.6× 427 2.6× 18 0.8× 61 2.5× 23 1.0× 32 694
Xiufang Feng China 9 189 0.6× 85 0.5× 18 0.8× 67 2.8× 11 0.5× 41 338
Benteng Ma China 8 111 0.3× 185 1.1× 7 0.3× 20 0.8× 27 1.2× 20 322
Yiqiao Mao China 6 152 0.4× 155 0.9× 6 0.3× 18 0.8× 24 1.1× 16 294

Countries citing papers authored by Pascal Mettes

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Mettes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Mettes

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

All Works

20 of 20 papers shown
1.
Kayal, Pratik, et al.. (2025). Large Language Models Are Natural Video Popularity Predictors. UvA-DARE (University of Amsterdam). 11432–11464.
2.
3.
Keller‐Ressel, Martin, et al.. (2025). SimZSL: Zero-Shot Learning Beyond a Pre-defined Semantic Embedding Space. International Journal of Computer Vision. 133(8). 5161–5177.
4.
Mettes, Pascal, et al.. (2025). Hyperbolic Safety-Aware Vision-Language Models. IRIS UNIMORE (University of Modena and Reggio Emilia). 4222–4232.
5.
Shi, Zenglin, Pascal Mettes, & Cees G. M. Snoek. (2024). Focus for Free in Density-Based Counting. International Journal of Computer Vision. 132(7). 2600–2617. 7 indexed citations
6.
Mettes, Pascal, et al.. (2024). Hyperbolic Deep Learning in Computer Vision: A Survey. International Journal of Computer Vision. 132(9). 3484–3508. 9 indexed citations
7.
Zhang, Wei, et al.. (2024). Latent Space Editing in Transformer-Based Flow Matching. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2247–2255. 5 indexed citations
8.
9.
Mettes, Pascal. (2023). Universal Prototype Transport for Zero-Shot Action Recognition and Localization. International Journal of Computer Vision. 131(11). 3060–3073. 2 indexed citations
10.
Berkhout, Erwin, et al.. (2023). Poincaré ResNet. 5396–5405. 8 indexed citations
11.
Noord, Nanne van, et al.. (2022). Hyperbolic Image Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4443–4452. 39 indexed citations
12.
Mettes, Pascal, et al.. (2021). Few-Shot Transformation of Common Actions into Time and Space. 4 indexed citations
13.
Long, Teng, Pascal Mettes, Heng Tao Shen, & Cees G. M. Snoek. (2020). Searching for Actions on the Hyperbole. UvA-DARE (University of Amsterdam). 1138–1147. 24 indexed citations
14.
Mettes, Pascal, et al.. (2020). Heterogeneous Non-Local Fusion for Multimodal Activity Recognition. UvA-DARE (University of Amsterdam). 63–72. 4 indexed citations
15.
Chen, Shuo, Pascal Mettes, Tao Hu, & Cees G. M. Snoek. (2020). Interactivity Proposals for Surveillance Videos. UvA-DARE (University of Amsterdam). 108–116. 3 indexed citations
16.
Booij, Olaf, et al.. (2020). Adversarial Self-Supervised Scene Flow Estimation. UvA-DARE (University of Amsterdam). 1049–1058. 11 indexed citations
17.
Mettes, Pascal, Elise van der Pol, & Cees G. M. Snoek. (2019). Hyperspherical Prototype Networks. UvA-DARE (University of Amsterdam). 32. 1485–1495. 12 indexed citations
18.
Hu, Tao, Pascal Mettes, Jia-Hong Huang, & Cees G. M. Snoek. (2019). SILCO: Show a Few Images, Localize the Common Object. UvA-DARE (University of Amsterdam). 5066–5075. 25 indexed citations
19.
Snoek, Cees G. M., Daniel Fontijne, D.C. Koelma, et al.. (2015). Qualcomm Research and University of Amsterdam at TRECVID 2015: Recognizing Concepts, Objects, and Events in Video. UvA-DARE (University of Amsterdam). 8 indexed citations
20.
Snoek, Cees G. M., Koen E. A. van de Sande, Daniel Fontijne, et al.. (2014). MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video. UvA-DARE (University of Amsterdam). 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.

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