Lev B. Levitin

1.5k citations
58 papers · 883 indexed · h-index 13

Impact in

Papers in

Lev B. Levitin

51 papers receiving 805 citations

Peers

Lev B. Levitin
Comparison fields: 5 of 72
  • Computer Networks and Communications 330
  • Artificial Intelligence 444
  • Computational Theory and Mathematics 177
  • Atomic and Molecular Physics, and Optics 296
  • Statistical and Nonlinear Physics 114
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P. Oscar Boykin United States
T. Beth Germany
Péter Gács United States
Paul S. Wang United States
Michael J. Dinneen New Zealand
Amnon Ta‐Shma Israel
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Martin Rötteler United States
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Citations per field
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Citations per year

Countries citing papers authored by Lev B. Levitin

Since Specialization
Citations

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

Fields of papers citing papers by Lev B. Levitin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lev B. Levitin. 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 Lev B. Levitin. The network helps show where Lev B. Levitin may publish in the future.

Co-authors

The 16 scholars most cited alongside Lev B. Levitin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lev B. Levitin Line = papers co-authored together Lev B. Levitin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201013
2 20090
3 2009209
4 20093
5 20081
6 20072
7 20077
8 20051
9 20050
10 20052
11 20040
12 20014
13 19949
14 19943
15
Generalized minimum distance decoding algorithms for group codes in metric spaces
19912
16 19885
17 198523
18
Quantum amount of information and maximum work
19782
19 196647
20
The Maximum Amount of Information Transmissible by an Electromagnetic Field
19639

About Lev B. Levitin

Lev B. Levitin is a scholar working on Hardware and Architecture, Statistical and Nonlinear Physics, Computer Networks and Communications, Artificial Intelligence and Management Information Systems, having authored 58 papers that have together received 883 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (18 papers), Quantum Mechanics and Applications (13 papers), Advanced Thermodynamics and Statistical Mechanics (12 papers), Quantum Information and Cryptography (9 papers), VLSI and Analog Circuit Testing (7 papers), Quantum Computing Algorithms and Architecture (7 papers), Advanced Optical Network Technologies (7 papers) and Coding theory and cryptography (6 papers). The work is most often cited by research in Computer Networks and Communications (330 citations), Artificial Intelligence (444 citations), Computational Theory and Mathematics (177 citations), Atomic and Molecular Physics, and Optics (296 citations) and Statistical and Nonlinear Physics (114 citations). Lev B. Levitin has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Mark G. Karpovsky, Tommaso Toffoli, Krishnendu Chakrabarty, Д. С. Лебедев, C. Hartmann, Péter Wagner, Iiro Honkala, David Starobinski, Francesco De Pellegrini and Ari Trachtenberg. Their work appears in journals such as IEEE Transactions on Information Theory, Open Systems & Information Dynamics, Physical Review Letters, Chaos Solitons & Fractals and Journal of Graph Algorithms and Applications.

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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