Tal Schuster

20 papers and 1.1k indexed citations i.

About

Tal Schuster is a scholar working on Artificial Intelligence, Sociology and Political Science and Oncology. According to data from OpenAlex, Tal Schuster has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 3 papers in Oncology. Recurrent topics in Tal Schuster’s work include Topic Modeling (14 papers), Natural Language Processing Techniques (8 papers) and AI in cancer detection (4 papers). Tal Schuster is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (8 papers) and AI in cancer detection (4 papers). Tal Schuster collaborates with scholars based in United States, Israel and The Netherlands. Tal Schuster's co-authors include Regina Barzilay, Constance D. Lehman, Adam Yala, Darsh Shah, Adam Fisch, Brian N. Dontchos, Randy C. Miles, Kyle Swanson, Manisha Bahl and Ori Ram and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Tal Schuster i

Fields of papers citing papers by Tal Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tal Schuster

Since Specialization
Citations

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