Ethan Fetaya

1.9k total citations
19 papers, 574 citations indexed

About

Ethan Fetaya is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ethan Fetaya has authored 19 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Ethan Fetaya's 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). Ethan Fetaya is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Visual Attention and Saliency Detection (2 papers). Ethan Fetaya collaborates with scholars based in Israel, United States and Canada. Ethan Fetaya's 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 and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Ethan Fetaya

18 papers receiving 545 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ethan Fetaya Israel	8	232	206	85	78	59	19	574
Jeongho Cho South Korea	15	109 0.5×	91 0.4×	223 2.6×	39 0.5×	38 0.6×	60	643
Bing Yu China	12	154 0.7×	65 0.3×	86 1.0×	33 0.4×	32 0.5×	55	513
Ziyu Wang China	11	302 1.3×	252 1.2×	45 0.5×	25 0.3×	25 0.4×	35	660
Tianhang Zheng China	14	174 0.8×	544 2.6×	283 3.3×	51 0.7×	14 0.2×	36	994
Jinzhao Lin China	14	186 0.8×	122 0.6×	310 3.6×	23 0.3×	44 0.7×	80	864
Tsung-Han Wu Taiwan	14	191 0.8×	246 1.2×	120 1.4×	45 0.6×	7 0.1×	30	734
Xinrong Hu China	16	273 1.2×	85 0.4×	207 2.4×	30 0.4×	11 0.2×	127	830
Steven R. Young United States	13	161 0.7×	400 1.9×	204 2.4×	13 0.2×	31 0.5×	36	741
Meng Gao China	9	299 1.3×	104 0.5×	57 0.7×	33 0.4×	19 0.3×	23	564
Qiao Li China	20	220 0.9×	181 0.9×	564 6.6×	18 0.2×	50 0.8×	116	1.4k

Countries citing papers authored by Ethan Fetaya

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Gannot, Sharon, et al.. (2025). Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes. 2240–2244.

Fetaya, Ethan, et al.. (2024). Evaluation Metrics for Generative Models: An Empirical Study. SHILAP Revista de lepidopterología. 6(3). 1531–1544. 5 indexed citations

Yuan, Shaofan, Chao Ma, Ethan Fetaya, et al.. (2023). Geometric deep optical sensing. Science. 379(6637). eade1220–eade1220. 92 indexed citations

Wang, Wenbo, et al.. (2023). Communication Efficient Distributed Learning Over Wireless Channels. IEEE Signal Processing Letters. 30. 1402–1406. 2 indexed citations

Levi, Dan, et al.. (2022). Evaluating and Calibrating Uncertainty Prediction in Regression Tasks. Sensors. 22(15). 5540–5540. 71 indexed citations

Fetaya, Ethan, et al.. (2021). On Size Generalization in Graph Neural Networks. arXiv (Cornell University). 1 indexed citations

Fetaya, Ethan, et al.. (2021). Personalized Federated Learning using Hypernetworks. International Conference on Machine Learning. 9489–9502. 44 indexed citations

Chechik, Gal, et al.. (2021). GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning. International Conference on Machine Learning. 54–65. 7 indexed citations

Maron, Haggai, Or Litany, Gal Chechik, & Ethan Fetaya. (2021). On Learning Sets of Symmetric Elements (Extended Abstract). 4794–4798. 5 indexed citations

10.

Maron, Haggai, Or Litany, Gal Chechik, & Ethan Fetaya. (2020). On Learning Sets of Symmetric Elements. International Conference on Machine Learning. 1. 6734–6744. 8 indexed citations

11.

Fetaya, Ethan, Joern-Henrik Jacobsen, Will Grathwohl, & Richard S. Zemel. (2019). Understanding the Limitations of Conditional Generative Models. arXiv (Cornell University). 5 indexed citations

12.

Zhang, Lisa, Ethan Fetaya, Renjie Liao, et al.. (2018). Leveraging Constraint Logic Programming for Neural Guided Program Synthesis.. International Conference on Learning Representations. 2 indexed citations

13.

Zhang, Lisa, Ethan Fetaya, Renjie Liao, et al.. (2018). Neural Guided Constraint Logic Programming for Program Synthesis. arXiv (Cornell University). 31. 1737–1746. 3 indexed citations

14.

Kipf, Thomas, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, & Richard S. Zemel. (2018). Neural Relational Inference for Interacting Systems. UvA-DARE (University of Amsterdam). 80. 2688–2697. 92 indexed citations

15.

Garnett, Noa, et al.. (2017). Real-Time Category-Based and General Obstacle Detection for Autonomous Driving. 198–205. 45 indexed citations

16.

Ullman, Shimon, et al.. (2016). Atoms of recognition in human and computer vision. Proceedings of the National Academy of Sciences. 113(10). 2744–2749. 85 indexed citations

17.

Fetaya, Ethan & Shimon Ullman. (2015). Learning Local Invariant Mahalanobis Distances. arXiv (Cornell University). 162–168. 7 indexed citations

18.

Levi, Dan, Noa Garnett, & Ethan Fetaya. (2015). StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation. 109.1–109.12. 95 indexed citations

19.

Fetaya, Ethan. (2012). Bounding the distance of quantum surface codes. Journal of Mathematical Physics. 53(6). 5 indexed citations

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.

Explore authors with similar magnitude of impact