Moshe Lewenstein

58 papers and 794 indexed citations i.

About

Moshe Lewenstein is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Moshe Lewenstein has authored 58 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 33 papers in Computational Theory and Mathematics and 22 papers in Molecular Biology. Recurrent topics in Moshe Lewenstein’s work include Algorithms and Data Compression (40 papers), DNA and Biological Computing (21 papers) and semigroups and automata theory (18 papers). Moshe Lewenstein is often cited by papers focused on Algorithms and Data Compression (40 papers), DNA and Biological Computing (21 papers) and semigroups and automata theory (18 papers). Moshe Lewenstein collaborates with scholars based in Israel, United States and India. Moshe Lewenstein's co-authors include Amihood Amir, Ely Porat, Martin Charles Golumbic, Maxim Sviridenko, Noa Lewenstein, Timothy M. Chan, Haim Kaplan, Gad M. Landau, Tsvi Kopelowitz and Dina Sokol and has published in prestigious journals such as Journal of the ACM, SIAM Journal on Computing and Journal of Computer and System Sciences.

In The Last Decade

Co-authorship network of co-authors of Moshe Lewenstein i

Fields of papers citing papers by Moshe Lewenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Moshe Lewenstein

Since Specialization
Citations

This map shows the geographic impact of Moshe Lewenstein'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 Moshe Lewenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe Lewenstein 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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2025