Ehud Ben-Reuven

4 papers and 229 indexed citations i.

About

Ehud Ben-Reuven is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Ehud Ben-Reuven has authored 4 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Computational Mechanics. Recurrent topics in Ehud Ben-Reuven’s work include Natural Language Processing Techniques (2 papers), Music and Audio Processing (2 papers) and Machine Learning and Data Classification (1 paper). Ehud Ben-Reuven is often cited by papers focused on Natural Language Processing Techniques (2 papers), Music and Audio Processing (2 papers) and Machine Learning and Data Classification (1 paper). Ehud Ben-Reuven collaborates with scholars based in Israel. Ehud Ben-Reuven's co-authors include Jacob Goldberger, Yoram Singer and Hagai Taitelbaum and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Ehud Ben-Reuven i

Fields of papers citing papers by Ehud Ben-Reuven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ehud Ben-Reuven. 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 Ehud Ben-Reuven. The network helps show where Ehud Ben-Reuven may publish in the future.

Countries citing papers authored by Ehud Ben-Reuven

Since Specialization
Citations

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