Uriel Singer

About

Uriel Singer is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Uriel Singer has authored 6 papers receiving a total of 23 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Materials Chemistry. Recurrent topics in Uriel Singer’s work include Advanced Graph Neural Networks (1 paper), Multimodal Machine Learning Applications (1 paper) and Chemistry and Chemical Engineering (1 paper). Uriel Singer is often cited by papers focused on Advanced Graph Neural Networks (1 paper), Multimodal Machine Learning Applications (1 paper) and Chemistry and Chemical Engineering (1 paper). Uriel Singer collaborates with scholars based in Israel and United States. Uriel Singer's co-authors include Kira Radinsky, Eric Horvitz, Adam Polyak, Shelly Sheynin, Devi Parikh, Haggai Roitman, Oron Ashual, Yaniv Taigman, Ido Guy and Eliyahu Kiperwasser and has published in prestigious journals such as Bioinformatics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Uriel Singer i

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Fields of papers citing papers by Uriel Singer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Uriel Singer

Since Specialization

Citations

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).

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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