Noa Lewenstein

461 total citations
14 papers, 152 citations indexed

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 14 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 6 papers in Molecular Biology. Recurrent topics in Noa Lewenstein's work include Algorithms and Data Compression (12 papers), semigroups and automata theory (7 papers) and DNA and Biological Computing (6 papers). Noa Lewenstein is often cited by papers focused on Algorithms and Data Compression (12 papers), semigroups and automata theory (7 papers) and DNA and Biological Computing (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, Michal Armoni, Mordechai Ben‐Ari, Alberto Apostolico, Avivit Levy and Roberto Grossi and has published in prestigious journals such as SIAM Journal on Computing, Theoretical Computer Science and Journal of Algorithms.

In The Last Decade

Noa Lewenstein

14 papers receiving 147 citations

Peers

Noa Lewenstein
Comparison fields: 5 of 24
  • Artificial Intelligence 132
  • Molecular Biology 83
  • Computational Theory and Mathematics 72
  • Hardware and Architecture 37
  • Information Systems 9
Replace Jakub Radoszewski with:
Jakub Radoszewski Poland
Richard J. Lorentz United States
Dina Sokol United States
Sabrina Mantaci Italy
Avivit Levy Israel
I Tomohiro Japan
Tomasz Kociumaka Poland
Dominik Kempa Finland
Heikki Hyyrö Finland
Djelloul Ziadi France
Jakub Radoszewski Poland View profile →
Citations per field, relative to Noa Lewenstein
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Citations per year, relative to Noa Lewenstein
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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).

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.

Co-authorship network of co-authors of Noa Lewenstein

This figure shows the co-authorship network connecting the top 25 collaborators of Noa Lewenstein. A scholar is included among the top collaborators of Noa Lewenstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Noa Lewenstein. Noa Lewenstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 5
2 2
3 3
4 4
5 3
6 3
7 4
8 10
9 6
10 26
11 21
12 39
13
Indexing and Dictionary Matching with One Error
10
14 16

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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