Ethan Fetaya
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Automotive Engineering top 10%
- Cognitive Neuroscience
- Co-authors
- Dan LeviNoa GarnettShimon UllmanDaniel HarariRichard S. ZemelKuan-Chieh WangNiv GiladiThomas Kipf
- Topics
- Anomaly Detection Techniques and Applications (4 papers)Generative Adversarial Networks and Image Synthesis (2 papers)Visual Attention and Saliency Detection (2 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Ethan Fetaya
18 papers receiving 545 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 232
- Artificial Intelligence 206
- Electrical and Electronic Engineering 85
- Automotive Engineering 78
- Cognitive Neuroscience 59
Countries citing papers authored by Ethan Fetaya
This map shows the geographic impact of Ethan Fetaya'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 Ethan Fetaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ethan Fetaya more than expected).
Fields of papers citing papers by Ethan Fetaya
This network shows the impact of papers produced by Ethan Fetaya. 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 Ethan Fetaya. The network helps show where Ethan Fetaya may publish in the future.
Co-authorship network of co-authors of Ethan Fetaya
This figure shows the co-authorship network connecting the top 25 collaborators of Ethan Fetaya. A scholar is included among the top collaborators of Ethan Fetaya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ethan Fetaya. Ethan Fetaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 92 | |
| 4 | 2 | |
| 5 | 71 | |
| 6 | On Size Generalization in Graph Neural Networks | 1 |
| 7 | Personalized Federated Learning using Hypernetworks | 44 |
| 8 | GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning | 7 |
| 9 | 5 | |
| 10 | On Learning Sets of Symmetric Elements | 8 |
| 11 | 5 | |
| 12 | Leveraging Constraint Logic Programming for Neural Guided Program Synthesis. | 2 |
| 13 | Neural Guided Constraint Logic Programming for Program Synthesis | 3 |
| 14 | Neural Relational Inference for Interacting Systems | 92 |
| 15 | 45 | |
| 16 | 85 | |
| 17 | 7 | |
| 18 | 95 | |
| 19 | 5 |
About Ethan Fetaya
Ethan Fetaya is a scholar working on Acoustics and Ultrasonics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 574 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Automotive Engineering (78 citations) and Artificial Intelligence (206 citations). Ethan Fetaya has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Dan Levi, Noa Garnett, Shimon Ullman, Daniel Harari, Richard S. Zemel, Kuan-Chieh Wang, Niv Giladi, Thomas Kipf, Max Welling and Gal Chechik. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.