Thomas Tanay
Impact in
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- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
Papers in
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- Advanced Vision and Imaging 3
- Advanced Image Processing Techniques 3
- Image Enhancement Techniques 2
- Generative Adversarial Networks and Image Synthesis 1
- Human Pose and Action Recognition 1
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- Computer Graphics and Visualization Techniques 3
- Co-authors
- Jerone T. A. Andrews (1 shared paper)Aleš Leonardis (4 shared papers)Greg Slabaugh (1 shared paper)Eduardo Pérez-Pellitero (1 shared paper)Matteo Maggioni (4 shared papers)Steven McDonagh (1 shared paper)Jiankang Deng (2 shared papers)Stefanos Zafeiriou (2 shared papers)
- Journals
- IEEE Transactions on Image Processing (1 paper)UCL Discovery (University College London) (1 paper)
- Partner nations
- SwedenUnited Kingdom
In The Last Decade
Thomas Tanay
7 papers receiving 92 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 43
- Computational Mathematics 1
- Artificial Intelligence 51
- Computer Graphics and Computer-Aided Design 5
- Acoustics and Ultrasonics 1
Countries citing papers authored by Thomas Tanay
This map shows the geographic impact of Thomas Tanay'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 Thomas Tanay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Tanay more than expected).
Fields of papers citing papers by Thomas Tanay
This network shows the impact of papers produced by Thomas Tanay. 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 Thomas Tanay. The network helps show where Thomas Tanay may publish in the future.
Co-authors
The 8 scholars most cited alongside Thomas Tanay, 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 | Transfer representation-learning for anomaly detection | 2016 | 59 |
| 2 | 2022 | 25 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 1 |
About Thomas Tanay
Thomas Tanay is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Computational Mechanics and Infectious Diseases, having authored 7 papers that have together received 97 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Image Processing Techniques (3 papers), Image Enhancement Techniques (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), 3D Shape Modeling and Analysis (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (43 citations), Computational Mathematics (1 citation), Artificial Intelligence (51 citations), Computer Graphics and Computer-Aided Design (5 citations) and Acoustics and Ultrasonics (1 citation). Thomas Tanay has collaborated with scholars based in Sweden and United Kingdom. Frequent co-authors include Jerone T. A. Andrews, Aleš Leonardis, Greg Slabaugh, Eduardo Pérez-Pellitero, Matteo Maggioni, Steven McDonagh, Jiankang Deng and Stefanos Zafeiriou. Their work appears in journals such as IEEE Transactions on Image Processing and UCL Discovery (University College London).
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.