Gil Levi
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Generative Adversarial Networks and Image Synthesis
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Signal Processing top 5%
- Biometric Identification and Security
Papers in
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- Human Pose and Action Recognition 2
- Face and Expression Recognition 2
- Video Analysis and Summarization 2
- Face recognition and analysis 2
- Image Retrieval and Classification Techniques 2
- Advanced Image and Video Retrieval Techniques 2
- Genetics 2
- Dermatoglyphics and Human Traits 2
- Co-authors
- Tal Hassner (5 shared papers)Lior Wolf (3 shared papers)Nachum Dershowitz (1 shared paper)Chris Parker (1 shared paper)Matteo Ceccarelli (2 shared papers)A. Grasselli (2 shared papers)Angélo Paci (2 shared papers)
- Journals
- Lecture notes in computer science (1 paper)PubMed (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- IsraelNorwayUnited States
In The Last Decade
Gil Levi
9 papers receiving 1.2k citations
Gil Levi's Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 1.0k
- Signal Processing 268
- Experimental and Cognitive Psychology 203
- Human-Computer Interaction 46
- Artificial Intelligence 197
Countries citing papers authored by Gil Levi
This map shows the geographic impact of Gil Levi'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 Gil Levi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gil Levi more than expected).
Fields of papers citing papers by Gil Levi
This network shows the impact of papers produced by Gil Levi. 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 Gil Levi. The network helps show where Gil Levi may publish in the future.
Co-authors
The 7 scholars most cited alongside Gil Levi, 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 | Age and gender classification using convolutional neural networks Hit paper breakdown → | 2015 | 843 |
| 2 | 2015 | 257 | |
| 3 | 2016 | 109 | |
| 4 | 2017 | 24 | |
| 5 | Temporal Tessellation for Video Annotation and Summarization. | 2016 | 6 |
| 6 | 2016 | 5 | |
| 7 | 2018 | 3 | |
| 8 | An approach to quantitative analysis of dermatoglyphics by digital computer. | 1969 | 1 |
| 9 | [Attempted quantitative analysis of dermatoglyphics with the electronic computer]. | 1968 | 1 |
| 10 | 2018 | 0 |
About Gil Levi
Gil Levi is a scholar working on Computer Vision and Pattern Recognition, Genetics, Aerospace Engineering, Space and Planetary Science and Signal Processing, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (2 papers), Dermatoglyphics and Human Traits (2 papers), Face and Expression Recognition (2 papers), Video Analysis and Summarization (2 papers), Face recognition and analysis (2 papers), Image Retrieval and Classification Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Signal Processing (268 citations), Experimental and Cognitive Psychology (203 citations), Human-Computer Interaction (46 citations) and Artificial Intelligence (197 citations). Gil Levi has collaborated with scholars based in Israel, Norway and United States. Frequent co-authors include Tal Hassner, Lior Wolf, Nachum Dershowitz, Chris Parker, Matteo Ceccarelli, A. Grasselli and Angélo Paci. Their work appears in journals such as Lecture notes in computer science, PubMed 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.