Yuval Nirkin
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Digital Media Forensic Detection
- Advanced Image Processing Techniques
- Face and Expression Recognition
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Face recognition and analysis 6
- Generative Adversarial Networks and Image Synthesis 4
- Advanced Image Processing Techniques 2
- Face and Expression Recognition 1
- Digital Media Forensic Detection 1
- Multimodal Machine Learning Applications 1
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- Biometric Identification and Security 2
- Co-authors
- Tal Hassner (7 shared papers)Yosi Keller (3 shared papers)Iacopo Masi (3 shared papers)Lior Wolf (2 shared papers)Gérard Medioni (1 shared paper)Gérard G. Medioni (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Advances in computer vision and pattern recognition (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Yuval Nirkin
7 papers receiving 669 citations
Yuval Nirkin's Hit Papers
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 621
- Signal Processing 70
- Dermatology 32
- Computer Graphics and Computer-Aided Design 14
- Computational Mechanics 75
Countries citing papers authored by Yuval Nirkin
This map shows the geographic impact of Yuval Nirkin'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 Yuval Nirkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuval Nirkin more than expected).
Fields of papers citing papers by Yuval Nirkin
This network shows the impact of papers produced by Yuval Nirkin. 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 Yuval Nirkin. The network helps show where Yuval Nirkin may publish in the future.
Co-authors
The 6 scholars most cited alongside Yuval Nirkin, 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 | 2018 | 230 | |
| 2 | DeepFake Detection Based on Discrepancies Between Faces and Their Context Hit paper breakdown → | 2021 | 218 |
| 3 | 2018 | 140 | |
| 4 | 2022 | 53 | |
| 5 | 2019 | 50 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 1 |
About Yuval Nirkin
Yuval Nirkin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 7 papers that have together received 699 indexed citations. Recurring topics across this work include Face recognition and analysis (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Biometric Identification and Security (2 papers), Advanced Image Processing Techniques (2 papers), Face and Expression Recognition (1 paper), Face Recognition and Perception (1 paper), Digital Media Forensic Detection (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (621 citations), Signal Processing (70 citations), Dermatology (32 citations), Computer Graphics and Computer-Aided Design (14 citations) and Computational Mechanics (75 citations). Yuval Nirkin has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Tal Hassner, Yosi Keller, Iacopo Masi, Lior Wolf, Gérard Medioni and Gérard G. Medioni. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advances in computer vision and pattern recognition and arXiv (Cornell University).
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.