Lev Reyzin

About

Lev Reyzin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Lev Reyzin has authored 21 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 6 papers in Computer Networks and Communications. Recurrent topics in Lev Reyzin’s work include Machine Learning and Algorithms (13 papers), Combinatorial Optimization and Complexity Theory (7 papers) and Machine Learning and Data Classification (6 papers). Lev Reyzin is often cited by papers focused on Machine Learning and Algorithms (13 papers), Combinatorial Optimization and Complexity Theory (7 papers) and Machine Learning and Data Classification (6 papers). Lev Reyzin collaborates with scholars based in United States. Lev Reyzin's co-authors include Robert E. Schapire, Satyen Kale, Elena Grigorescu, Vitaly Feldman, Ying Xiao, Santosh Vempala, James Aspnes, Dana Angluin, Nikhil Srivastava and Brian D. Ziebart and has published in prestigious journals such as Nature, Journal of the ACM and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Lev Reyzin i

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Fields of papers citing papers by Lev Reyzin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lev Reyzin

Since Specialization

Citations

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