Yan Michalevsky

About

Yan Michalevsky is a scholar working on Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Yan Michalevsky has authored 5 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Signal Processing and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Yan Michalevsky’s work include Speech and Audio Processing (2 papers), Security and Verification in Computing (2 papers) and Advanced Malware Detection Techniques (2 papers). Yan Michalevsky is often cited by papers focused on Speech and Audio Processing (2 papers), Security and Verification in Computing (2 papers) and Advanced Malware Detection Techniques (2 papers). Yan Michalevsky collaborates with scholars based in United States, Israel and France. Yan Michalevsky's co-authors include Gabi Nakibly, Dan Boneh, Shelly Grossman, Ittai Abraham, Guy Golan-Gueta, Mooly Sagiv, Noam Rinetzky, Yoni Zohar, Israel Cohen and Ronen Talmon and has published in prestigious journals such as Proceedings of the ACM on Programming Languages, USENIX Security Symposium and 2022 IEEE Symposium on Security and Privacy (SP).

In The Last Decade

Co-authorship network of co-authors of Yan Michalevsky i

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Fields of papers citing papers by Yan Michalevsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yan Michalevsky

Since Specialization

Citations

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