Noa Lewenstein

12 papers and 120 indexed citations i.

About

Noa Lewenstein is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Noa Lewenstein has authored 12 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 6 papers in Molecular Biology. Recurrent topics in Noa Lewenstein’s work include Algorithms and Data Compression (10 papers), DNA and Biological Computing (6 papers) and semigroups and automata theory (6 papers). Noa Lewenstein is often cited by papers focused on Algorithms and Data Compression (10 papers), DNA and Biological Computing (6 papers) and semigroups and automata theory (6 papers). Noa Lewenstein collaborates with scholars based in Israel, United States and Italy. Noa Lewenstein's co-authors include Amihood Amir, Moshe Lewenstein, Gad M. Landau, Michael Rodeh, Yonatan Aumann, Mordechai Ben‐Ari, Michal Armoni, Markus Jalsenius, Alberto Apostolico and Tsvi Kopelowitz and has published in prestigious journals such as SIAM Journal on Computing, Theoretical Computer Science and Journal of Algorithms.

In The Last Decade

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

Fields of papers citing papers by Noa Lewenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Noa Lewenstein

Since Specialization
Citations

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