Shai Halevi

39 papers and 1.5k indexed citations i.

About

Shai Halevi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shai Halevi has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shai Halevi’s work include Cryptography and Data Security (29 papers), Combinatorial Optimization and Complexity Theory (10 papers) and Cryptographic Implementations and Security (10 papers). Shai Halevi is often cited by papers focused on Cryptography and Data Security (29 papers), Combinatorial Optimization and Complexity Theory (10 papers) and Cryptographic Implementations and Security (10 papers). Shai Halevi collaborates with scholars based in United States, Israel and United Kingdom. Shai Halevi's co-authors include Ran Canetti, Oded Goldreich, Benny Pinkas, Danny Harnik, Alexandra Shulman‐Peleg, Hugo Krawczyk, Craig Gentry, Jonathan Katz, Mariana Raykova and Sanjam Garg and has published in prestigious journals such as Communications of the ACM, Journal of the ACM and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Shai Halevi i

Fields of papers citing papers by Shai Halevi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shai Halevi

Since Specialization
Citations

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