Shai Halevi

255 total papers · 24.4k total citations
60 papers, 2.8k citations indexed

About

Shai Halevi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Shai Halevi has authored 60 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 14 papers in Information Systems. Recurrent topics in Shai Halevi's work include Cryptography and Data Security (40 papers), Complexity and Algorithms in Graphs (17 papers) and Cryptographic Implementations and Security (13 papers). Shai Halevi is often cited by papers focused on Cryptography and Data Security (40 papers), Complexity and Algorithms in Graphs (17 papers) and Cryptographic Implementations and Security (13 papers). Shai Halevi collaborates with scholars based in United States, Israel and Mexico. Shai Halevi's co-authors include Ran Canetti, Oded Goldreich, Craig Gentry, Hugo Krawczyk, Alexandra Shulman‐Peleg, Benny Pinkas, Danny Harnik, Mariana Raykova, Sanjam Garg and Brent Waters and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Journal of the ACM.

In The Last Decade

Shai Halevi

59 papers receiving 2.5k citations

Hit Papers

Proofs of ownership in re... 2011 2026 2016 2021 2011 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shai Halevi 2.4k 1.2k 780 619 399 60 2.8k
Kristin Lauter 2.9k 1.2× 1.1k 0.9× 537 0.7× 431 0.7× 516 1.3× 88 3.7k
Nigel P. Smart 3.3k 1.4× 2.1k 1.8× 916 1.2× 634 1.0× 504 1.3× 98 3.9k
Charles Rackoff 2.6k 1.1× 710 0.6× 788 1.0× 1.5k 2.5× 410 1.0× 40 3.5k
Seny Kamara 2.8k 1.2× 1.5k 1.2× 474 0.6× 666 1.1× 620 1.6× 34 3.2k
Rosario Gennaro 2.2k 0.9× 924 0.8× 663 0.8× 402 0.6× 371 0.9× 71 2.5k
Mariana Raykova 1.4k 0.6× 1.1k 0.9× 642 0.8× 309 0.5× 144 0.4× 37 2.0k
Huaxiong Wang 1.4k 0.6× 854 0.7× 622 0.8× 312 0.5× 378 0.9× 148 2.0k
Raluca Ada Popa 2.9k 1.2× 1.5k 1.2× 1.2k 1.5× 362 0.6× 321 0.8× 60 3.8k
Emil Stefanov 1.9k 0.8× 952 0.8× 404 0.5× 354 0.6× 200 0.5× 26 2.2k
Guomin Yang 2.6k 1.1× 2.0k 1.7× 1.1k 1.4× 411 0.7× 324 0.8× 130 3.2k

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).

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.

Co-authorship network of co-authors of Shai Halevi

This figure shows the co-authorship network connecting the top 25 collaborators of Shai Halevi. A scholar is included among the top collaborators of Shai Halevi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shai Halevi. Shai Halevi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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