Omer Bar-Tal
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Video Analysis and Summarization
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 5
- Video Analysis and Summarization 2
- Face recognition and analysis 2
- Advanced Vision and Imaging 2
- Handwritten Text Recognition Techniques 1
- Digital Media Forensic Detection 1
- Image Enhancement Techniques 1
- Co-authors
- Tali Dekel (5 shared papers)Yoni Kasten (2 shared papers)Narek Tumanyan (2 shared papers)Shai Bagon (3 shared papers)Charles Herrmann (1 shared paper)Inbar Mosseri (1 shared paper)Oliver Wang (1 shared paper)Deqing Sun (1 shared paper)
- Journals
- Nature Biotechnology (1 paper)ACM Transactions on Graphics (1 paper)Lecture notes in computer science (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- IsraelUnited StatesHong Kong
In The Last Decade
Omer Bar-Tal
7 papers receiving 307 citations
Peers
Comparison fields: 5 of 50
- Computer Graphics and Computer-Aided Design 71
- Computer Vision and Pattern Recognition 251
- Signal Processing 35
- Computational Mechanics 29
- Artificial Intelligence 38
Countries citing papers authored by Omer Bar-Tal
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
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-authors
The 25 scholars most cited alongside Omer Bar-Tal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 147 | |
| 2 | 2022 | 90 | |
| 3 | 2024 | 54 | |
| 4 | 2024 | 14 | |
| 5 | 2025 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2025 | 2 |
About Omer Bar-Tal
Omer Bar-Tal is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Control and Systems Engineering, Biophysics and Computer Graphics and Computer-Aided Design, having authored 7 papers that have together received 314 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Video Analysis and Summarization (2 papers), Face recognition and analysis (2 papers), Advanced Vision and Imaging (2 papers), Handwritten Text Recognition Techniques (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), Digital Media Forensic Detection (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (71 citations), Computer Vision and Pattern Recognition (251 citations), Signal Processing (35 citations), Computational Mechanics (29 citations) and Artificial Intelligence (38 citations). Omer Bar-Tal has collaborated with scholars based in Israel, United States and Hong Kong. Frequent co-authors include Tali Dekel, Yoni Kasten, Narek Tumanyan, Shai Bagon, Charles Herrmann, Inbar Mosseri, Oliver Wang, Deqing Sun, Michael Rubinstein and Ariel Ephrat. Their work appears in journals such as Nature Biotechnology, ACM Transactions on Graphics, Lecture notes in computer science, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.