Hagai Taitelbaum

5 papers and 46 indexed citations i.

About

Hagai Taitelbaum is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hagai Taitelbaum has authored 5 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Hagai Taitelbaum’s work include Natural Language Processing Techniques (4 papers), Topic Modeling (2 papers) and COVID-19 diagnosis using AI (1 paper). Hagai Taitelbaum is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (2 papers) and COVID-19 diagnosis using AI (1 paper). Hagai Taitelbaum collaborates with scholars based in Israel and France. Hagai Taitelbaum's co-authors include Jonathan Herzig, Idan Szpektor, Roee Aharoni, Avinatan Hassidim, Thomas Scialom, Yossi Matias, Vered Cohen, Ehud Ben-Reuven, Jacob Goldberger and Gal Chechik and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Hagai Taitelbaum i

Fields of papers citing papers by Hagai Taitelbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hagai Taitelbaum

Since Specialization
Citations

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