Tal El‐Hay

About

Tal El‐Hay is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Clinical Psychology. According to data from OpenAlex, Tal El‐Hay has authored 13 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Clinical Psychology. Recurrent topics in Tal El‐Hay’s work include Bayesian Modeling and Causal Inference (5 papers), Gaussian Processes and Bayesian Inference (3 papers) and Bayesian Methods and Mixture Models (2 papers). Tal El‐Hay is often cited by papers focused on Bayesian Modeling and Causal Inference (5 papers), Gaussian Processes and Bayesian Inference (3 papers) and Bayesian Methods and Mixture Models (2 papers). Tal El‐Hay collaborates with scholars based in Israel, United States and Canada. Tal El‐Hay's co-authors include Raz Kupferman, Nir Friedman, Chen Yanover, Yaara Goldschmidt, William R. Bishai, Kelly L. Wyres, Omer Weissbrod, Oded Shaham, Ranit Aharonov and Keira A. Cohen and has published in prestigious journals such as Journal of the American Medical Informatics Association, Journal of Machine Learning Research and Statistical Science.

In The Last Decade

Co-authorship network of co-authors of Tal El‐Hay i

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Fields of papers citing papers by Tal El‐Hay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tal El‐Hay. 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 Tal El‐Hay. The network helps show where Tal El‐Hay may publish in the future.

Countries citing papers authored by Tal El‐Hay

Since Specialization

Citations

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