Uri Shalit

32 papers and 1.2k indexed citations i.

About

Uri Shalit is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Uri Shalit has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Statistics and Probability. Recurrent topics in Uri Shalit’s work include Machine Learning in Healthcare (7 papers), Advanced Causal Inference Techniques (6 papers) and Bayesian Modeling and Causal Inference (5 papers). Uri Shalit is often cited by papers focused on Machine Learning in Healthcare (7 papers), Advanced Causal Inference Techniques (6 papers) and Bayesian Modeling and Causal Inference (5 papers). Uri Shalit collaborates with scholars based in Israel, United States and United Kingdom. Uri Shalit's co-authors include Gal Chechik, Samy Bengio, Varun Sharma, David Sontag, Malka Gorfine, Smadar Shilo, Hagai Rossman, Tomer Meir, Eran Segal and Marc Scott and has published in prestigious journals such as Nature Medicine, Nature Communications and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Uri Shalit i

Fields of papers citing papers by Uri Shalit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Uri Shalit

Since Specialization
Citations

This map shows the geographic impact of Uri Shalit'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 Uri Shalit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uri Shalit 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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2025