Yuval Atzmon

1.3k total citations · 1 hit paper
18 papers, 365 citations indexed

About

Yuval Atzmon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yuval Atzmon has authored 18 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Yuval Atzmon's work include Multimodal Machine Learning Applications (9 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Optical Network Technologies (6 papers). Yuval Atzmon is often cited by papers focused on Multimodal Machine Learning Applications (9 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Optical Network Technologies (6 papers). Yuval Atzmon collaborates with scholars based in Israel, United States and Canada. Yuval Atzmon's co-authors include Gal Chechik, Rinon Gal, Amit H. Bermano, Daniel Cohen‐Or, Moshe Nazarathy, Ariel Shamir, Uri Shalit, Lior Wolf, Louis Christen and Yannick Keith Lizé and has published in prestigious journals such as Optics Express, ACM Transactions on Graphics and Journal of Lightwave Technology.

In The Last Decade

Yuval Atzmon

18 papers receiving 350 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

2023 87 citations Rinon Gal, Yuval Atzmon et al. ACM Transactions on Graphics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuval Atzmon Israel	9	229	132	53	45	33	18	365
Jianfu Zhang China	11	334 1.5×	99 0.8×	11 0.2×	24 0.5×	9 0.3×	35	405
Orest Kupyn Ukraine	2	606 2.6×	29 0.2×	17 0.3×	13 0.3×	15 0.5×	2	666
Tetiana Martyniuk Ukraine	2	606 2.6×	29 0.2×	17 0.3×	13 0.3×	15 0.5×	5	666
Tobias Hinz Germany	7	302 1.3×	53 0.4×	9 0.2×	60 1.3×	11 0.3×	13	390
Shanchuan Lin United States	5	223 1.0×	75 0.6×	11 0.2×	49 1.1×	5 0.2×	5	316
Yong-Goo Shin South Korea	10	282 1.2×	32 0.2×	15 0.3×	23 0.5×	11 0.3×	34	351
Yu-Ying Yeh United States	7	271 1.2×	79 0.6×	4 0.1×	69 1.5×	17 0.5×	10	325
Masaki Saito Japan	6	270 1.2×	53 0.4×	23 0.4×	29 0.6×	5 0.2×	34	356
Zongsheng Yue China	11	372 1.6×	39 0.3×	9 0.2×	19 0.4×	15 0.5×	16	441
Shaolin Su China	5	446 1.9×	23 0.2×	10 0.2×	13 0.3×	16 0.5×	12	518

Countries citing papers authored by Yuval Atzmon

Since Specialization

Citations

This map shows the geographic impact of Yuval Atzmon'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 Yuval Atzmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuval Atzmon more than expected).

Fields of papers citing papers by Yuval Atzmon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuval Atzmon. 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 Yuval Atzmon. The network helps show where Yuval Atzmon may publish in the future.

Co-authorship network of co-authors of Yuval Atzmon

This figure shows the co-authorship network connecting the top 25 collaborators of Yuval Atzmon. A scholar is included among the top collaborators of Yuval Atzmon 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 Yuval Atzmon. Yuval Atzmon 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:

18 of 18 papers shown

1.

Gal, Rinon, et al.. (2024). Training-Free Consistent Text-to-Image Generation. ACM Transactions on Graphics. 43(4). 1–18. 15 indexed citations

2.

Gal, Rinon, et al.. (2023). Key-Locked Rank One Editing for Text-to-Image Personalization. 1–11. 64 indexed citations

3.

Gal, Rinon, Yuval Atzmon, Gal Chechik, et al.. (2023). Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models. 1–10. 27 indexed citations

4.

Gal, Rinon, et al.. (2023). Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models. ACM Transactions on Graphics. 42(4). 1–13. 87 indexed citations breakdown →

5.

Atzmon, Yuval, et al.. (2021). From generalized zero-shot learning to long-tail with class descriptors. 286–295. 19 indexed citations

6.

Atzmon, Yuval, Felix Kreuk, Uri Shalit, & Gal Chechik. (2020). A causal view of compositional zero-shot recognition. arXiv (Cornell University). 33. 1462–1473. 4 indexed citations

7.

Atzmon, Yuval, et al.. (2020). Long-tail learning with attributes. arXiv (Cornell University). 1 indexed citations

8.

Atzmon, Yuval & Gal Chechik. (2019). Adaptive Confidence Smoothing for Generalized Zero-Shot Learning. 11663–11672. 72 indexed citations

9.

Atzmon, Yuval, et al.. (2019). Joint Optimization for Cooperative Image Captioning. 8897–8906. 12 indexed citations

10.

Atzmon, Yuval & Gal Chechik. (2018). Domain-Aware Generalized Zero-Shot Learning.. arXiv (Cornell University). 2 indexed citations

11.

Atzmon, Yuval & Gal Chechik. (2018). Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning. Uncertainty in Artificial Intelligence. 382–392. 3 indexed citations

12.

Atzmon, Yuval, Uri Shalit, & Gal Chechik. (2015). Learning Sparse Metrics, One Feature at a Time. Neural Information Processing Systems. 30–48. 7 indexed citations

13.

Atzmon, Yuval & Moshe Nazarathy. (2009). A Gaussian Polar Model for Error Rates of Differential Phase Detection Impaired by Linear, Nonlinear, and Laser Phase Noises. Journal of Lightwave Technology. 27(21). 4650–4659. 4 indexed citations

14.

Atzmon, Yuval & Moshe Nazarathy. (2009). Laser Phase Noise in Coherent and Differential Optical Transmission Revisited in the Polar Domain. Journal of Lightwave Technology. 27(1). 19–29. 22 indexed citations

15.

Lizé, Yannick Keith, Xiaoxia Wu, Moshe Nazarathy, et al.. (2008). Chromatic dispersion tolerance in optimized NRZ-, RZ- and CSRZ-DPSK demodulation. Optics Express. 16(6). 4228–4228. 14 indexed citations

16.

Atzmon, Yuval & Moshe Nazarathy. (2008). Self-Coherent Differential Transmission with Decision Feedback – Phase Noise Impairments. CWB5–CWB5. 1 indexed citations

17.

Nazarathy, Moshe, et al.. (2008). Optically Amplified Direct Detection With Pre- and Postfiltering: A Volterra Series Approach. Journal of Lightwave Technology. 26(22). 3677–3693. 6 indexed citations

18.

Lizé, Yannick Keith, Louis Christen, Moshe Nazarathy, et al.. (2007). Tolerances and Receiver Sensitivity Penalties of Multibit Delay Differential-Phase Shift-Keying Demodulation. IEEE Photonics Technology Letters. 19(23). 1874–1876. 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.

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