Gal Chechik
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Generative Adversarial Networks and Image Synthesis
- Image Retrieval and Classification Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
Papers in
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- Multimodal Machine Learning Applications 24
- Image Retrieval and Classification Techniques 15
- Advanced Image and Video Retrieval Techniques 14
- Generative Adversarial Networks and Image Synthesis 11
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- Domain Adaptation and Few-Shot Learning 20
- Co-authors
- Samy Bengio (7 shared papers)Uri Shalit (9 shared papers)Rinon Gal (10 shared papers)Yuval Atzmon (12 shared papers)Varun Sharma (3 shared papers)Naftali Tishby (10 shared papers)Haggai Maron (4 shared papers)Daphne Koller (7 shared papers)
- Journals
- Neural Computation (5 papers)Journal of Machine Learning Research (4 papers)ACM Transactions on Graphics (4 papers)PLoS Computational Biology (4 papers)Neurocomputing (3 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Gal Chechik
118 papers receiving 4.4k citations
Gal Chechik's Hit Papers
Peers
Comparison fields: 5 of 176
- Computer Vision and Pattern Recognition 1.8k
- Cognitive Neuroscience 865
- Computer Graphics and Computer-Aided Design 168
- Artificial Intelligence 1.5k
- Computational Mathematics 21
Countries citing papers authored by Gal Chechik
This map shows the geographic impact of Gal Chechik'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 Gal Chechik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gal Chechik more than expected).
Fields of papers citing papers by Gal Chechik
This network shows the impact of papers produced by Gal Chechik. 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 Gal Chechik. The network helps show where Gal Chechik may publish in the future.
Co-authors
The 25 scholars most cited alongside Gal Chechik, 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | StyleGAN-NADA Hit paper breakdown → | 2022 | 377 |
| 2 | Large Scale Online Learning of Image Similarity through Ranking Hit paper breakdown → | 2009 | 371 |
| 3 | 2017 | 335 | |
| 4 | 2009 | 214 | |
| 5 | 2006 | 191 | |
| 6 | 2015 | 164 | |
| 7 | 2008 | 137 | |
| 8 | 2005 | 126 | |
| 9 | 1998 | 124 | |
| 10 | 2021 | 124 | |
| 11 | 1999 | 124 | |
| 12 | Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models Hit paper breakdown → | 2023 | 121 |
| 13 | Euclidean Embedding of Co-Occurrence Data | 2004 | 120 |
| 14 | Max-margin Classification of Data with Absent Features | 2008 | 106 |
| 15 | 2022 | 98 | |
| 16 | 2023 | 92 | |
| 17 | 2017 | 90 | |
| 18 | 2019 | 87 | |
| 19 | 2009 | 80 | |
| 20 | An Online Algorithm for Large Scale Image Similarity Learning | 2009 | 73 |
About Gal Chechik
Gal Chechik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience, having authored 129 papers that have together received 4.6k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (24 papers), Domain Adaptation and Few-Shot Learning (20 papers), Neural dynamics and brain function (19 papers), Image Retrieval and Classification Techniques (15 papers), Advanced Image and Video Retrieval Techniques (14 papers), Generative Adversarial Networks and Image Synthesis (11 papers), Music and Audio Processing (10 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Cognitive Neuroscience (865 citations), Computer Graphics and Computer-Aided Design (168 citations), Artificial Intelligence (1.5k citations) and Computational Mathematics (21 citations). Gal Chechik has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Samy Bengio, Uri Shalit, Rinon Gal, Yuval Atzmon, Varun Sharma, Naftali Tishby, Haggai Maron, Daphne Koller, Israel Nelken and Eytan Ruppin. Their work appears in journals such as Neural Computation, Journal of Machine Learning Research, ACM Transactions on Graphics, PLoS Computational Biology and Neurocomputing.
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.