Avivit Levy

467 total citations
32 papers, 125 citations indexed

About

Avivit Levy is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Avivit Levy has authored 32 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 16 papers in Molecular Biology and 16 papers in Computational Theory and Mathematics. Recurrent topics in Avivit Levy's work include Algorithms and Data Compression (29 papers), DNA and Biological Computing (16 papers) and semigroups and automata theory (13 papers). Avivit Levy is often cited by papers focused on Algorithms and Data Compression (29 papers), DNA and Biological Computing (16 papers) and semigroups and automata theory (13 papers). Avivit Levy collaborates with scholars based in Israel, United States and Italy. Avivit Levy's co-authors include Amihood Amir, Ely Porat, Yonatan Aumann, Gary Benson, Steven Skiena, Gad M. Landau, Uzi Vishne, Moshe Lewenstein, Alberto Apostolico and David Pritchard and has published in prestigious journals such as SIAM Journal on Computing, Theoretical Computer Science and Journal of Computer and System Sciences.

In The Last Decade

Avivit Levy

29 papers receiving 124 citations

Peers

Avivit Levy
Comparison fields: 5 of 19
  • Artificial Intelligence 110
  • Molecular Biology 60
  • Computational Theory and Mathematics 49
  • Genetics 24
  • Hardware and Architecture 18
Replace Paweł Gawrychowski with:
Paweł Gawrychowski Poland
Jakub Radoszewski Poland
I Tomohiro Japan
Tomasz Waleń Poland
Sabrina Mantaci Italy
Dina Sokol United States
Dominik Kempa Finland
Gheorghe Ştefănescu Romania
Noa Lewenstein Israel
Markus L. Schmid Germany
Paweł Gawrychowski Poland View profile →
Citations per field, relative to Avivit Levy
Avivit Levy · 1×
Citations per year, relative to Avivit Levy
Avivit Levy · 1×

Countries citing papers authored by Avivit Levy

Since Specialization
Citations

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

Fields of papers citing papers by Avivit Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avivit Levy

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 3
5 5
6 5
7 3
8 7
9 2
10 6
11 4
12 6
13 5
14 2
15 4
16 2
17 4
18 13
19 3
20 15

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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