Reut Levi

22 papers and 120 indexed citations i.

About

Reut Levi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Reut Levi has authored 22 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 8 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Reut Levi’s work include Combinatorial Optimization and Complexity Theory (13 papers), Advanced Graph Theory Research (11 papers) and Optimization and Search Problems (7 papers). Reut Levi is often cited by papers focused on Combinatorial Optimization and Complexity Theory (13 papers), Advanced Graph Theory Research (11 papers) and Optimization and Search Problems (7 papers). Reut Levi collaborates with scholars based in Israel, United States and Germany. Reut Levi's co-authors include Ronitt Rubinfeld, Dana Ron, Piotr Indyk, Anak Yodpinyanee, Yoram Louzoun, Christoph Lenzen, Talya Eden, A. Shapira, Moti Medina and Adi Rosén and has published in prestigious journals such as Frontiers in Immunology, Nutrients and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Reut Levi i

Fields of papers citing papers by Reut Levi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Reut Levi

Since Specialization
Citations

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