Ofer Shayevitz

809 citations
51 papers · 395 · h-index 10

Impact in

Papers in

Ofer Shayevitz

45 papers receiving 389 citations

Peers

Ofer Shayevitz
Comparison fields: 5 of 31
  • Computer Networks and Communications 217
  • Computational Theory and Mathematics 82
  • Electrical and Electronic Engineering 269
  • Artificial Intelligence 119
  • Statistics and Probability 22
Replace Aslan Tchamkerten with:
Aslan Tchamkerten France
M. V. Burnashev Russia
J.R. Roche United States
Ramji Venkataramanan United States
F. Kanaya Japan
M. Horstein United States
Ojas Parekh United States
V. V. Prelov Russia
A. Sutivong United States
Ofer Shayevitz relative to Aslan Tchamkerten France Aslan Tchamkerten's profile →
Citations per field
00.5×4.4×
Aslan Tchamkerten · 1×
Citations per year

Countries citing papers authored by Ofer Shayevitz

Since Specialization
Citations

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

Fields of papers citing papers by Ofer Shayevitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Ofer Shayevitz, 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 Ofer Shayevitz Line = papers co-authored together Ofer Shayevitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201181
2 200734
3 201733
4 201231
5 201130
6 200928
7 200823
8 200513
9 201713
10 200510
11 20199
12 20169
13 20198
14 20148
15 20156
16 20065
17 20174
18 20184
19 20173
20 20103

About Ofer Shayevitz

Ofer Shayevitz is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence and Molecular Biology, having authored 51 papers that have together received 395 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (25 papers), Cellular Automata and Applications (16 papers), Error Correcting Code Techniques (12 papers), Cooperative Communication and Network Coding (7 papers), DNA and Biological Computing (7 papers), Markov Chains and Monte Carlo Methods (6 papers), Advanced Wireless Communication Techniques (6 papers) and Complexity and Algorithms in Graphs (6 papers). The work is most often cited by research in Computer Networks and Communications (217 citations), Computational Theory and Mathematics (82 citations), Electrical and Electronic Engineering (269 citations), Artificial Intelligence (119 citations) and Statistics and Probability (22 citations). Ofer Shayevitz has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Meir Feder, Michèle Wigger, Tara Javidi, Or Ordentlich, Yury Polyanskiy, Lele Wang, Omri Weinstein, Ram Zamir, Wasim Huleihel and Ronit Bustin. Their work appears in journals such as IEEE Transactions on Information Theory, SIAM Journal on Discrete Mathematics, EURASIP Journal on Advances in Signal Processing, Entropy and 2022 IEEE International Symposium on Information Theory (ISIT).

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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