Dror Lapidot

About

Dror Lapidot is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Dror Lapidot has authored 4 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. Recurrent topics in Dror Lapidot’s work include Cryptography and Data Security (3 papers), Combinatorial Optimization and Complexity Theory (3 papers) and Privacy-Preserving Technologies in Data (2 papers). Dror Lapidot is often cited by papers focused on Cryptography and Data Security (3 papers), Combinatorial Optimization and Complexity Theory (3 papers) and Privacy-Preserving Technologies in Data (2 papers). Dror Lapidot collaborates with scholars based in Israel. Dror Lapidot's co-authors include Adi Shamir and Uriel Feige and has published in prestigious journals such as SIAM Journal on Computing, Journal of Computer and System Sciences and COMBINATORICA.

In The Last Decade

Co-authorship network of co-authors of Dror Lapidot i

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Fields of papers citing papers by Dror Lapidot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dror Lapidot

Since Specialization

Citations

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