Lior Wolf
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Face recognition and analysis
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Image Retrieval and Classification Techniques
- Signal Processing top 0.1%
- Biometric Identification and Security
Papers in
-
- Advanced Image and Video Retrieval Techniques 44
- Advanced Vision and Imaging 33
- Image Retrieval and Classification Techniques 24
- Face and Expression Recognition 23
- Generative Adversarial Networks and Image Synthesis 22
- Handwritten Text Recognition Techniques 20
- Multimodal Machine Learning Applications 18
- Face recognition and analysis 17
- Co-authors
- Yaniv Taigman (9 shared papers)Ming Yang (2 shared papers)Marc’Aurelio Ranzato (2 shared papers)Tal Hassner (22 shared papers)Tomaso Poggio (3 shared papers)T. Serre (3 shared papers)Stanley Bileschi (6 shared papers)Itay Maoz (1 shared paper)
- Journals
- Computer Graphics Forum (5 papers)International Journal of Computer Vision (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)ACM Transactions on Graphics (4 papers)PLoS Computational Biology (3 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Lior Wolf
227 papers receiving 16.5k citations
Lior Wolf's Hit Papers
Peers
Comparison fields: 5 of 207
- Computer Vision and Pattern Recognition 12.3k
- Signal Processing 2.9k
- Artificial Intelligence 4.2k
- Media Technology 1.1k
- Human-Computer Interaction 462
Countries citing papers authored by Lior Wolf
This map shows the geographic impact of Lior Wolf'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 Lior Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lior Wolf more than expected).
Fields of papers citing papers by Lior Wolf
This network shows the impact of papers produced by Lior Wolf. 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 Lior Wolf. The network helps show where Lior Wolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Lior Wolf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 239 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DeepFace: Closing the Gap to Human-Level Performance in Face Verification Hit paper breakdown → | 2014 | 4404 |
| 2 | Robust Object Recognition with Cortex-Like Mechanisms Hit paper breakdown → | 2007 | 1243 |
| 3 | Face recognition in unconstrained videos with matched background similarity Hit paper breakdown → | 2011 | 1026 |
| 4 | Object Recognition with Features Inspired by Visual Cortex Hit paper breakdown → | 2005 | 630 |
| 5 | A Biologically Inspired System for Action Recognition Hit paper breakdown → | 2007 | 582 |
| 6 | Plasmonic nanostructure design and characterization via Deep Learning Hit paper breakdown → | 2018 | 561 |
| 7 | 2007 | 404 | |
| 8 | Descriptor Based Methods in the Wild | 2008 | 349 |
| 9 | Chest pathology detection using deep learning with non-medical training Hit paper breakdown → | 2015 | 288 |
| 10 | 2009 | 273 | |
| 11 | 2010 | 269 | |
| 12 | Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models Hit paper breakdown → | 2023 | 240 |
| 13 | 2010 | 238 | |
| 14 | 2015 | 230 | |
| 15 | 2016 | 217 | |
| 16 | 2010 | 207 | |
| 17 | Learning over sets using kernel principal angles | 2003 | 205 |
| 18 | DeepFake Detection Based on Discrepancies Between Faces and Their Context Hit paper breakdown → | 2021 | 203 |
| 19 | 2015 | 193 | |
| 20 | 2015 | 171 |
About Lior Wolf
Lior Wolf is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Molecular Biology and Cognitive Neuroscience, having authored 239 papers that have together received 17.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (44 papers), Advanced Vision and Imaging (33 papers), Image Retrieval and Classification Techniques (24 papers), Face and Expression Recognition (23 papers), Generative Adversarial Networks and Image Synthesis (22 papers), Handwritten Text Recognition Techniques (20 papers), Multimodal Machine Learning Applications (18 papers) and Face recognition and analysis (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (12.3k citations), Signal Processing (2.9k citations), Artificial Intelligence (4.2k citations), Media Technology (1.1k citations) and Human-Computer Interaction (462 citations). Lior Wolf has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Yaniv Taigman, Ming Yang, Marc’Aurelio Ranzato, Tal Hassner, Tomaso Poggio, T. Serre, Stanley Bileschi, Itay Maoz, Amnon Shashua and Daniel Cohen‐Or. Their work appears in journals such as Computer Graphics Forum, International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and PLoS Computational Biology.
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.