Shachar Lovett

104 papers and 701 indexed citations i.

About

Shachar Lovett is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics. According to data from OpenAlex, Shachar Lovett has authored 104 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computational Theory and Mathematics, 57 papers in Artificial Intelligence and 29 papers in Discrete Mathematics and Combinatorics. Recurrent topics in Shachar Lovett’s work include Combinatorial Optimization and Complexity Theory (42 papers), Coding theory and cryptography (31 papers) and Limits and Structures in Graph Theory (27 papers). Shachar Lovett is often cited by papers focused on Combinatorial Optimization and Complexity Theory (42 papers), Coding theory and cryptography (31 papers) and Limits and Structures in Graph Theory (27 papers). Shachar Lovett collaborates with scholars based in United States, Israel and Canada. Shachar Lovett's co-authors include Raghu Meka, Tali Kaufman, Hamed Hatami, Emanuele Viola, Roy Meshulam, Alex Samorodnitsky, Divesh Aggarwal, Daniel M. Kane, Yevgeniy Dodis and Pooya Hatami and has published in prestigious journals such as IEEE Transactions on Information Theory, Annals of Mathematics and Journal of the ACM.

In The Last Decade

Co-authorship network of co-authors of Shachar Lovett i

Fields of papers citing papers by Shachar Lovett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shachar Lovett

Since Specialization
Citations

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