Joost van de Weijer
- Computer Vision and Pattern Recognition top 0.05%
- Artificial Intelligence top 0.5%
- Media Technology top 0.1%
- Atomic and Molecular Physics, and Optics top 2%
- Aerospace Engineering top 1%
- Co-authors
- Fahad Shahbaz KhanAndrew D. BagdanovArjan GijsenijXialei LiuMichael FelsbergMartin DanelljanTheo GeversJakob Verbeek
- Topics
- Domain Adaptation and Few-Shot Learning (39 papers)Advanced Image and Video Retrieval Techniques (33 papers)Image Enhancement Techniques (28 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- SpainNetherlandsChina
In The Last Decade
Joost van de Weijer
136 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Computer Vision and Pattern Recognition 7.1k
- Artificial Intelligence 1.7k
- Media Technology 1.6k
- Atomic and Molecular Physics, and Optics 1.3k
- Aerospace Engineering 879
Countries citing papers authored by Joost van de Weijer
This map shows the geographic impact of Joost van de Weijer'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 Joost van de Weijer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joost van de Weijer more than expected).
Fields of papers citing papers by Joost van de Weijer
This network shows the impact of papers produced by Joost van de Weijer. 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 Joost van de Weijer. The network helps show where Joost van de Weijer may publish in the future.
Co-authorship network of co-authors of Joost van de Weijer
This figure shows the co-authorship network connecting the top 25 collaborators of Joost van de Weijer. A scholar is included among the top collaborators of Joost van de Weijer 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 Joost van de Weijer. Joost van de Weijer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 25 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | Class-incremental learning: survey and performance evaluation | 46 |
| 10 | 236 | |
| 11 | Metric Learning for Novelty and Anomaly Detection. | 4 |
| 12 | Memory Replay GANs: Learning to Generate New Categories without Forgetting | 115 |
| 13 | 203 | |
| 14 | 10 | |
| 15 | Adaptive Color Attributes for Real-Time Visual Trackingbreakdown → | 1104 |
| 16 | The Dichromatic Reflection Model - Future Research Directions and Applications. | 4 |
| 17 | 1 | |
| 18 | 11 | |
| 19 | Linear and Robust Estimation of Local Image Structure | 1 |
| 20 | Curvature estimation from orientation fields | 22 |
About Joost van de Weijer
Joost van de Weijer is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 139 papers that have together received 8.5k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (39 papers), Advanced Image and Video Retrieval Techniques (33 papers) and Image Enhancement Techniques (28 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.1k citations), Media Technology (1.6k citations) and Artificial Intelligence (1.7k citations). Joost van de Weijer has collaborated with scholars based in Spain, Netherlands and China. Frequent co-authors include Fahad Shahbaz Khan, Andrew D. Bagdanov, Arjan Gijsenij, Xialei Liu, Michael Felsberg, Martin Danelljan, Theo Gevers, Jakob Verbeek, Jan‐Mark Geusebroek and Cordelia Schmid. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.