Omer Bar-Tal

1.6k total citations · 1 hit paper
6 papers, 119 citations indexed

About

Omer Bar-Tal is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Omer Bar-Tal has authored 6 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 1 paper in Molecular Biology and 1 paper in Control and Systems Engineering. Recurrent topics in Omer Bar-Tal's work include Generative Adversarial Networks and Image Synthesis (4 papers), Face recognition and analysis (2 papers) and Computer Graphics and Visualization Techniques (1 paper). Omer Bar-Tal is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Face recognition and analysis (2 papers) and Computer Graphics and Visualization Techniques (1 paper). Omer Bar-Tal collaborates with scholars based in Israel, United States and United Kingdom. Omer Bar-Tal's co-authors include Tali Dekel, Shai Bagon, Narek Tumanyan, Inbar Mosseri, Charles Herrmann, Michael Rubinstein, Oliver Wang, Shiran Zada, Hila Chefer and Omer Tov and has published in prestigious journals such as Nature Biotechnology, ACM Transactions on Graphics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Omer Bar-Tal

6 papers receiving 118 citations

Hit Papers

Lumiere: A Space-Time Diffusion Model for Video Generation 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omer Bar-Tal Israel 3 90 23 15 15 14 6 119
Jinbo Xing Hong Kong 6 117 1.3× 19 0.8× 44 2.9× 21 1.4× 13 0.9× 11 140
Yuchao Gu Singapore 3 165 1.8× 42 1.8× 27 1.8× 19 1.3× 26 1.9× 7 202
Tiziano Portenier Switzerland 6 142 1.6× 24 1.0× 4 0.3× 9 0.6× 21 1.5× 12 161
Dmytro Kotovenko Germany 3 145 1.6× 44 1.9× 8 0.5× 17 1.1× 15 1.1× 4 156
Eiichi Matsumoto Japan 3 210 2.3× 33 1.4× 21 1.4× 29 1.9× 30 2.1× 4 233
Roman Bachmann Switzerland 2 70 0.8× 30 1.3× 8 0.5× 5 0.3× 17 1.2× 3 98
Debayan Deb United States 4 78 0.9× 8 0.3× 10 0.7× 20 1.3× 17 1.2× 6 104
Jonathan Granskog United States 4 162 1.8× 74 3.2× 23 1.5× 15 1.0× 18 1.3× 7 206
Dario Pavllo Switzerland 6 67 0.7× 23 1.0× 32 2.1× 3 0.2× 16 1.1× 10 91
Pascal Peter Germany 8 113 1.3× 17 0.7× 4 0.3× 17 1.1× 13 0.9× 14 150

Countries citing papers authored by Omer Bar-Tal

Since Specialization
Citations

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

Fields of papers citing papers by Omer Bar-Tal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Omer Bar-Tal. 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 Omer Bar-Tal. The network helps show where Omer Bar-Tal may publish in the future.

Co-authorship network of co-authors of Omer Bar-Tal

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

All Works

6 of 6 papers shown
1.
Ben-Uri, Raz, Omer Bar-Tal, Yuval Bussi, et al.. (2025). High-dimensional imaging using combinatorial channel multiplexing and deep learning. Nature Biotechnology. 44(2). 233–246. 1 indexed citations
2.
Yang, Ceyuan, Anyi Rao, Chenlin Meng, et al.. (2025). Keyframe-Guided Creative Video Inpainting. 13009–13020. 2 indexed citations
3.
Bar-Tal, Omer, et al.. (2024). Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer. 8466–8476. 6 indexed citations
4.
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 →
5.
Tumanyan, Narek, et al.. (2023). Disentangling Structure and Appearance in ViT Feature Space. ACM Transactions on Graphics. 43(1). 1–16. 1 indexed citations
6.
Tumanyan, Narek, Omer Bar-Tal, Shai Bagon, & Tali Dekel. (2022). Splicing ViT Features for Semantic Appearance Transfer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10738–10747. 64 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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