Tijmen Blankevoort
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Neural Networks and Applications
- Topic Modeling
Papers in
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- Advanced Neural Network Applications 12
- Advanced Image and Video Retrieval Techniques 2
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- Domain Adaptation and Few-Shot Learning 8
- Adversarial Robustness in Machine Learning 5
- Neural Networks and Applications 2
- Co-authors
- Markus Nagel (6 shared papers)Yash Bhalgat (1 shared paper)Jinwon Lee (1 shared paper)Nojun Kwak (1 shared paper)Babak Ehteshami Bejnordi (3 shared papers)Max Welling (6 shared papers)Dushyant Mehta (2 shared papers)Bert Moons (1 shared paper)
- Journals
- Seoul National University Open Repository (Seoul National University) (1 paper)arXiv (Cornell University) (4 papers)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (3 papers)
- Partner nations
- United KingdomNetherlandsSouth Korea
In The Last Decade
Tijmen Blankevoort
14 papers receiving 229 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 148
- Artificial Intelligence 132
- Computational Mathematics 1
- Hardware and Architecture 10
- Media Technology 12
Countries citing papers authored by Tijmen Blankevoort
This map shows the geographic impact of Tijmen Blankevoort'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 Tijmen Blankevoort with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tijmen Blankevoort more than expected).
Fields of papers citing papers by Tijmen Blankevoort
This network shows the impact of papers produced by Tijmen Blankevoort. 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 Tijmen Blankevoort. The network helps show where Tijmen Blankevoort may publish in the future.
Co-authors
The 19 scholars most cited alongside Tijmen Blankevoort, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 113 | |
| 2 | 2021 | 42 | |
| 3 | 2021 | 20 | |
| 4 | 2022 | 15 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 10 | |
| 7 | Batch-shaping for learning conditional channel gated networks | 2020 | 6 |
| 8 | 2023 | 5 | |
| 9 | Batch-Shaped Channel Gated Networks. | 2019 | 4 |
| 10 | 2020 | 4 | |
| 11 | 2023 | 4 | |
| 12 | Gradient 𝓁 1 Regularization for Quantization Robustness. | 2020 | 2 |
| 13 | Bayesian Bits: Unifying Quantization and Pruning | 2020 | 1 |
| 14 | 2023 | 1 |
About Tijmen Blankevoort
Tijmen Blankevoort is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Computational Mechanics, having authored 14 papers that have together received 240 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Domain Adaptation and Few-Shot Learning (8 papers), Adversarial Robustness in Machine Learning (5 papers), Neural Networks and Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Model Reduction and Neural Networks (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper) and Meteorological Phenomena and Simulations (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (148 citations), Artificial Intelligence (132 citations), Computational Mathematics (1 citation), Hardware and Architecture (10 citations) and Media Technology (12 citations). Tijmen Blankevoort has collaborated with scholars based in United Kingdom, Netherlands and South Korea. Frequent co-authors include Markus Nagel, Yash Bhalgat, Jinwon Lee, Nojun Kwak, Babak Ehteshami Bejnordi, Max Welling, Dushyant Mehta, Bert Moons, Giovanni Mariani and Suraj Srinivas. Their work appears in journals such as Seoul National University Open Repository (Seoul National University), arXiv (Cornell University), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
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.