Shai Ben-David

73 papers and 3.0k indexed citations i.

About

Shai Ben-David is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Shai Ben-David has authored 73 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 26 papers in Computational Theory and Mathematics and 12 papers in Signal Processing. Recurrent topics in Shai Ben-David’s work include Machine Learning and Algorithms (40 papers), Machine Learning and Data Classification (17 papers) and Algorithms and Data Compression (16 papers). Shai Ben-David is often cited by papers focused on Machine Learning and Algorithms (40 papers), Machine Learning and Data Classification (17 papers) and Algorithms and Data Compression (16 papers). Shai Ben-David collaborates with scholars based in Canada, Israel and United States. Shai Ben-David's co-authors include Jennifer Wortman Vaughan, Fernando Pereira, Koby Crammer, Alex Kulesza, John Blitzer, Margareta Ackerman, Dávid Pál, Nicolò Cesa‐Bianchi, David Haussler and Noga Alon and has published in prestigious journals such as Pattern Recognition, Artificial Intelligence and Journal of the ACM.

In The Last Decade

Co-authorship network of co-authors of Shai Ben-David i

Fields of papers citing papers by Shai Ben-David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shai Ben-David

Since Specialization
Citations

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