Hila Chefer

598 total citations · 2 hit papers
4 papers, 226 citations indexed

About

Hila Chefer is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Economics and Econometrics. According to data from OpenAlex, Hila Chefer has authored 4 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 1 paper in Cognitive Neuroscience and 1 paper in Economics and Econometrics. Recurrent topics in Hila Chefer's work include Generative Adversarial Networks and Image Synthesis (3 papers), Aesthetic Perception and Analysis (1 paper) and Multimodal Machine Learning Applications (1 paper). Hila Chefer is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Aesthetic Perception and Analysis (1 paper) and Multimodal Machine Learning Applications (1 paper). Hila Chefer collaborates with scholars based in Israel, United States and Denmark. Hila Chefer's co-authors include Lior Wolf, Yael Vinker, Daniel Cohen‐Or, Yuval Alaluf, Oliver Wang, Shiran Zada, Inbar Mosseri, Omer Bar-Tal, Omer Tov and Junhwa Hur and has published in prestigious journals such as ACM Transactions on Graphics and Research at the University of Copenhagen (University of Copenhagen).

In The Last Decade

Hila Chefer

4 papers receiving 220 citations

Hit Papers

Attend-and-Excite: Attention-Based Semantic Guidance for ... 2023 2026 2024 2025 2023 2024 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
Hila Chefer Israel 4 169 48 47 20 19 4 226
Ivan Skorokhodov United States 8 192 1.1× 59 1.2× 39 0.8× 19 0.9× 20 1.1× 20 238
Shant Navasardyan United States 6 201 1.2× 40 0.8× 28 0.6× 24 1.2× 27 1.4× 20 232
Ligong Han United States 8 207 1.2× 48 1.0× 58 1.2× 13 0.7× 13 0.7× 19 278
Tim Dockhorn Germany 2 200 1.2× 44 0.9× 43 0.9× 28 1.4× 31 1.6× 2 262
Nisha Huang China 5 182 1.1× 61 1.3× 41 0.9× 26 1.3× 16 0.8× 8 232
Stan Weixian Lei Singapore 4 211 1.2× 42 0.9× 68 1.4× 22 1.1× 27 1.4× 5 253
Parmida Atighehchian Canada 2 114 0.7× 29 0.6× 43 0.9× 16 0.8× 20 1.1× 2 182
Jay Zhangjie Wu Singapore 4 202 1.2× 48 1.0× 43 0.9× 21 1.1× 31 1.6× 8 243
Yuchao Gu Singapore 3 165 1.0× 42 0.9× 26 0.6× 19 0.9× 27 1.4× 7 202
Michal Geyer United Kingdom 2 202 1.2× 55 1.1× 31 0.7× 23 1.1× 12 0.6× 3 246

Countries citing papers authored by Hila Chefer

Since Specialization
Citations

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

Fields of papers citing papers by Hila Chefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hila Chefer

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

All Works

4 of 4 papers shown
1.
Chefer, Hila, Shiran Zada, Ariel Ephrat, et al.. (2024). Still-Moving: Customized Video Generation without Customized Video Data. ACM Transactions on Graphics. 43(6). 1–11. 3 indexed citations
2.
Bar-Tal, Omer, Hila Chefer, Omer Tov, et al.. (2024). Lumiere: A Space-Time Diffusion Model for Video Generation. 1–11. 45 indexed citations breakdown →
3.
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 →
4.
Schwartz, Idan, et al.. (2023). Discriminative Class Tokens for Text-to-Image Diffusion Models. Research at the University of Copenhagen (University of Copenhagen). 22668–22678. 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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