Uriel Singer
Impact in
-
- Computer Graphics and Visualization Techniques
-
- Generative Adversarial Networks and Image Synthesis
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Advanced Graph Neural Networks 2
-
- Epigenetics and DNA Methylation 1
- Co-authors
- Kira Radinsky (8 shared papers)Adam Polyak (3 shared papers)Oron Ashual (1 shared paper)Shelly Sheynin (2 shared papers)Yaniv Taigman (2 shared papers)Devi Parikh (2 shared papers)Ido Guy (2 shared papers)Eliyahu Kiperwasser (1 shared paper)
- Journals
- Bioinformatics (1 paper)Lecture notes in computer science (1 paper)JMIR AI (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Uriel Singer
11 papers receiving 82 citations
Peers
Comparison fields: 5 of 29
- Computer Graphics and Computer-Aided Design 9
- Computer Vision and Pattern Recognition 32
- Artificial Intelligence 29
- Information Systems 17
- Computational Theory and Mathematics 9
Countries citing papers authored by Uriel Singer
This map shows the geographic impact of Uriel Singer'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 Uriel Singer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uriel Singer more than expected).
Fields of papers citing papers by Uriel Singer
This network shows the impact of papers produced by Uriel Singer. 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 Uriel Singer. The network helps show where Uriel Singer may publish in the future.
Co-authors
The 14 scholars most cited alongside Uriel Singer, 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 | 2024 | 32 | |
| 2 | 2022 | 15 | |
| 3 | 2023 | 7 | |
| 4 | 2020 | 6 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 6 | |
| 8 | 2024 | 2 | |
| 9 | 2022 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 0 |
About Uriel Singer
Uriel Singer is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Transportation, having authored 12 papers that have together received 85 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Graph Neural Networks (2 papers), Computational Drug Discovery Methods (2 papers), Human Mobility and Location-Based Analysis (2 papers), Consumer Market Behavior and Pricing (1 paper), Multimodal Machine Learning Applications (1 paper), Epigenetics and DNA Methylation (1 paper) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (9 citations), Computer Vision and Pattern Recognition (32 citations), Artificial Intelligence (29 citations), Information Systems (17 citations) and Computational Theory and Mathematics (9 citations). Uriel Singer has collaborated with scholars based in Israel and United States. Frequent co-authors include Kira Radinsky, Adam Polyak, Oron Ashual, Shelly Sheynin, Yaniv Taigman, Devi Parikh, Ido Guy, Eliyahu Kiperwasser, Haggai Roitman and Eric Horvitz. Their work appears in journals such as Bioinformatics, Lecture notes in computer science, JMIR AI, Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
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.