Yael Vinker

807 total citations · 1 hit paper
11 papers, 372 citations indexed

About

Yael Vinker is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Control and Systems Engineering. According to data from OpenAlex, Yael Vinker has authored 11 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Graphics and Computer-Aided Design and 2 papers in Control and Systems Engineering. Recurrent topics in Yael Vinker's work include Advanced Vision and Imaging (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Multimodal Machine Learning Applications (3 papers). Yael Vinker is often cited by papers focused on Advanced Vision and Imaging (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Multimodal Machine Learning Applications (3 papers). Yael Vinker collaborates with scholars based in Israel, United States and Switzerland. Yael Vinker's co-authors include Daniel Cohen‐Or, Yuval Alaluf, Lior Wolf, Hila Chefer, Ariel Shamir, Amit H. Bermano, Roman Bachmann, Amir Zamir, Raanan Fattal and Amir Hertz and has published in prestigious journals such as ACM Transactions on Graphics and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Yael Vinker

9 papers receiving 367 citations

Hit Papers

Attend-and-Excite: Attention-Based Semantic Guidance for ... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yael Vinker Israel 8 276 97 67 44 27 11 372
WILLIAM F. WHITNEY United States 3 236 0.9× 47 0.5× 78 1.2× 46 1.0× 16 0.6× 7 302
Yuxin Zhang China 7 208 0.8× 59 0.6× 54 0.8× 23 0.5× 20 0.7× 38 293
Chenyang Lei Hong Kong 12 387 1.4× 69 0.7× 44 0.7× 28 0.6× 14 0.5× 27 493
Yanze Wu China 3 199 0.7× 61 0.6× 54 0.8× 22 0.5× 34 1.3× 5 281
Artsiom Sanakoyeu Germany 8 282 1.0× 53 0.5× 66 1.0× 26 0.6× 39 1.4× 13 324
Tobias Hinz Germany 7 302 1.1× 60 0.6× 53 0.8× 14 0.3× 21 0.8× 13 390
Narek Tumanyan Israel 3 250 0.9× 69 0.7× 37 0.6× 31 0.7× 17 0.6× 5 306
Bill Freeman United States 10 244 0.9× 73 0.8× 80 1.2× 85 1.9× 19 0.7× 19 302
Haozhi Huang China 9 235 0.9× 45 0.5× 27 0.4× 38 0.9× 12 0.4× 15 272
Subhadeep Koley United Kingdom 12 290 1.1× 28 0.3× 64 1.0× 29 0.7× 23 0.9× 25 356

Countries citing papers authored by Yael Vinker

Since Specialization
Citations

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

Fields of papers citing papers by Yael Vinker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yael Vinker

This figure shows the co-authorship network connecting the top 25 collaborators of Yael Vinker. A scholar is included among the top collaborators of Yael Vinker 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 Yael Vinker. Yael Vinker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Cohen‐Or, Daniel, et al.. (2025). SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation. 1–12.
2.
Vinker, Yael, et al.. (2025). SketchAgent: Language-Driven Sequential Sketch Generation. 23355–23368.
3.
Avrahami, Omri, Amir Hertz, Yael Vinker, et al.. (2024). The Chosen One: Consistent Characters in Text-to-Image Diffusion Models. 1–12. 5 indexed citations
4.
Gal, Rinon, Yael Vinker, Yuval Alaluf, et al.. (2024). Breathing Life Into Sketches Using Text-to-Video Priors. 4325–4336. 7 indexed citations
5.
Vinker, Yael, et al.. (2023). Word-As-Image for Semantic Typography. ACM Transactions on Graphics. 42(4). 1–11. 25 indexed citations
6.
Chefer, Hila, Yuval Alaluf, Yael Vinker, Lior Wolf, & Daniel Cohen‐Or. (2023). Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models. ACM Transactions on Graphics. 42(4). 1–10. 173 indexed citations breakdown →
7.
Vinker, Yael, Yuval Alaluf, Daniel Cohen‐Or, & Ariel Shamir. (2023). CLIPascene: Scene Sketching with Different Types and Levels of Abstraction. 4123–4133. 22 indexed citations
8.
Vinker, Yael, Andrey Voynov, Daniel Cohen‐Or, & Ariel Shamir. (2023). Concept Decomposition for Visual Exploration and Inspiration. ACM Transactions on Graphics. 42(6). 1–13. 14 indexed citations
9.
Vinker, Yael, Roman Bachmann, Amit H. Bermano, et al.. (2022). CLIPasso. ACM Transactions on Graphics. 41(4). 1–11. 94 indexed citations
10.
Vinker, Yael, et al.. (2021). Unpaired Learning for High Dynamic Range Image Tone Mapping. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14637–14646. 23 indexed citations
11.
Vinker, Yael, et al.. (2021). Image Shape Manipulation from a Single Augmented Training Sample. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13749–13758. 9 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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