Gal Chechik
Impact in
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- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Neuroscience and Music Perception
Papers in
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- Multimodal Machine Learning Applications 17
- Image Retrieval and Classification Techniques 13
- Advanced Image and Video Retrieval Techniques 11
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- Domain Adaptation and Few-Shot Learning 17
- Machine Learning and Algorithms 8
- Co-authors
- Samy Bengio (7 shared papers)Uri Shalit (10 shared papers)Naftali Tishby (7 shared papers)Israel Nelken (4 shared papers)Daphne Koller (5 shared papers)Varun Sharma (3 shared papers)Yuval Atzmon (12 shared papers)Rinon Gal (8 shared papers)
- Journals
- Neural Computation (5 papers)ACM Transactions on Graphics (4 papers)Journal of Machine Learning Research (4 papers)PLoS Computational Biology (4 papers)Neurocomputing (3 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Gal Chechik
102 papers receiving 3.7k citations
Gal Chechik's Hit Papers
Peers
Comparison fields: 5 of 171
- Computer Vision and Pattern Recognition 1.4k
- Cognitive Neuroscience 773
- Artificial Intelligence 1.2k
- Computer Graphics and Computer-Aided Design 130
- Signal Processing 309
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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 300 | |
| 2 | StyleGAN-NADA Hit paper breakdown → | 2022 | 294 |
| 3 | 2017 | 268 | |
| 4 | 2009 | 205 | |
| 5 | 2006 | 180 | |
| 6 | 2015 | 158 | |
| 7 | 2008 | 131 | |
| 8 | 1998 | 117 | |
| 9 | 2005 | 115 | |
| 10 | 1999 | 114 | |
| 11 | 2021 | 108 | |
| 12 | Euclidean Embedding of Co-Occurrence Data | 2004 | 106 |
| 13 | Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models Hit paper breakdown → | 2023 | 93 |
| 14 | Max-margin Classification of Data with Absent Features | 2008 | 91 |
| 15 | 2022 | 84 | |
| 16 | 2009 | 78 | |
| 17 | 2019 | 75 | |
| 18 | 2023 | 70 | |
| 19 | An Online Algorithm for Large Scale Image Similarity Learning | 2009 | 69 |
| 20 | 2017 | 69 |
About Gal Chechik
Gal Chechik is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Molecular Biology and Signal Processing, having authored 111 papers that have together received 3.9k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (17 papers), Multimodal Machine Learning Applications (17 papers), Neural dynamics and brain function (16 papers), Image Retrieval and Classification Techniques (13 papers), Advanced Image and Video Retrieval Techniques (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Music and Audio Processing (10 papers) and Machine Learning and Algorithms (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Cognitive Neuroscience (773 citations), Artificial Intelligence (1.2k citations), Computer Graphics and Computer-Aided Design (130 citations) and Signal Processing (309 citations). Gal Chechik has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Samy Bengio, Uri Shalit, Naftali Tishby, Israel Nelken, Daphne Koller, Varun Sharma, Yuval Atzmon, Rinon Gal, Haggai Maron and Isaac Meilijson. Their work appears in journals such as Neural Computation, ACM Transactions on Graphics, Journal of Machine Learning Research, 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.