Moshe Lewenstein

149 total papers · 2.9k total citations
64 papers, 1.0k citations indexed

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 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 35 papers in Computational Theory and Mathematics and 24 papers in Molecular Biology. Recurrent topics in Moshe Lewenstein's work include Algorithms and Data Compression (45 papers), DNA and Biological Computing (22 papers) and semigroups and automata theory (19 papers). Moshe Lewenstein is often cited by papers focused on Algorithms and Data Compression (45 papers), DNA and Biological Computing (22 papers) and semigroups and automata theory (19 papers). Moshe Lewenstein collaborates with scholars based in Israel, United States and India. Moshe Lewenstein's co-authors include Amihood Amir, Ely Porat, Richard Cole, Martin Charles Golumbic, Lee-Ad Gottlieb, Maxim Sviridenko, Haim Kaplan, Noa Lewenstein, Gad M. Landau and Timothy M. Chan and has published in prestigious journals such as Journal of the ACM, SIAM Journal on Computing and Theoretical Computer Science.

In The Last Decade

Moshe Lewenstein

63 papers receiving 946 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Moshe Lewenstein 606 499 355 200 190 64 1.0k
Lawrence L. Larmore 451 0.7× 345 0.7× 143 0.4× 116 0.6× 541 2.8× 121 1.2k
Gerth Stølting Brodal 568 0.9× 319 0.6× 179 0.5× 222 1.1× 474 2.5× 96 1.2k
Ross M. McConnell 343 0.6× 935 1.9× 135 0.4× 87 0.4× 270 1.4× 43 1.2k
Konstantin Makarychev 354 0.6× 555 1.1× 169 0.5× 52 0.3× 428 2.3× 67 1.2k
Jacques Cohen 556 0.9× 259 0.5× 155 0.4× 261 1.3× 330 1.7× 62 1.1k
W Brauer 391 0.6× 369 0.7× 47 0.1× 74 0.4× 159 0.8× 67 907
Juraj Hromkovič 384 0.6× 577 1.2× 188 0.5× 37 0.2× 320 1.7× 129 1.0k
Walter J. Savitch 615 1.0× 756 1.5× 151 0.4× 42 0.2× 195 1.0× 55 1.2k
Etsuji Tomita 355 0.6× 398 0.8× 138 0.4× 23 0.1× 213 1.1× 47 816
Peter Bro Miltersen 706 1.2× 630 1.3× 108 0.3× 51 0.3× 247 1.3× 77 1.1k

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).

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.

Co-authorship network of co-authors of Moshe Lewenstein

This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Lewenstein. A scholar is included among the top collaborators of Moshe 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 Moshe Lewenstein. Moshe Lewenstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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