Amit Levy

1.7k citations
40 papers · 1.2k · h-index 17

Impact in

Papers in

Amit Levy

36 papers receiving 1.0k citations

Peers

Amit Levy
Comparison fields: 5 of 86
  • Geometry and Topology 260
  • Theoretical Computer Science 23
  • Computational Theory and Mathematics 287
  • Signal Processing 188
  • Artificial Intelligence 547
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Charles Wells United States
Freek Wiedijk Netherlands
Yves Bertot France
Erwin Engeler Switzerland
Susan Williamson United States
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Citations per field
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Citations per year

Countries citing papers authored by Amit Levy

Since Specialization
Citations

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

Fields of papers citing papers by Amit Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amit Levy, 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 Amit Levy Line = papers co-authored together Amit Levy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Vanish: increasing data privacy with self-destructing data
2009243
2 1967194
3 1968113
4 201794
5 201350
6 201048
7 196242
8 201241
9 195837
10 201731
11 201531
12 201926
13 201625
14 200324
15 196023
16 196419
17 201716
18 201812
19 201611
20 196311

About Amit Levy

Amit Levy is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Hardware and Architecture and Electrical and Electronic Engineering, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Security and Verification in Computing (13 papers), Advanced Malware Detection Techniques (11 papers), Parallel Computing and Optimization Techniques (7 papers), Distributed systems and fault tolerance (6 papers), Peer-to-Peer Network Technologies (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Bluetooth and Wireless Communication Technologies (4 papers) and Embedded Systems Design Techniques (3 papers). The work is most often cited by research in Geometry and Topology (260 citations), Theoretical Computer Science (23 citations), Computational Theory and Mathematics (287 citations), Signal Processing (188 citations) and Artificial Intelligence (547 citations). Amit Levy has collaborated with scholars based in United States, Sweden and Israel. Frequent co-authors include R. M. Solovay, Roxana Geambasu, Tadayoshi Kohno, Henry M. Levy, G. Kreisel, Philip Levis, Bradford Campbell, Pat Pannuto, Prabal Dutta and Branden Ghena. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Israel Journal of Mathematics, Information Sciences and Comparative Immunology Microbiology and Infectious Diseases.

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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