Y. Be'ery

2.0k citations
59 papers · 1.3k · 1 hit paper · h-index 17

Impact in

Papers in

Y. Be'ery

54 papers receiving 1.2k citations

Y. Be'ery's Hit Papers

Deep Learning Methods for Improved Decoding of Linear Codes 2018 · 358 citations
3580+2+5Years since publication100200300

Peers

Y. Be'ery
Comparison fields: 5 of 62
  • Computer Networks and Communications 733
  • Artificial Intelligence 873
  • Electrical and Electronic Engineering 865
  • Computational Theory and Mathematics 151
  • Signal Processing 97
Replace Rolf Johannesson with:
Rolf Johannesson Sweden
Thomas E. Fuja United States
Jos H. Weber Netherlands
Udaya Parampalli Australia
Jean‐Claude Belfiore France
Shu Lin United States
Kamil Sh. Zigangirov Sweden
J. K. Omura United States
Ludo Tolhuizen Netherlands
Amir H. Banihashemi Canada
Y. Be'ery relative to Rolf Johannesson Sweden Rolf Johannesson's profile →
Citations per field
00.5×5×11×
Rolf Johannesson · 1×
Citations per year

Countries citing papers authored by Y. Be'ery

Since Specialization
Citations

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

Fields of papers citing papers by Y. Be'ery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. Be'ery. 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 Y. Be'ery. The network helps show where Y. Be'ery may publish in the future.

Co-authors

The 24 scholars most cited alongside Y. Be'ery, 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 Y. Be'ery Line = papers co-authored together Y. Be'ery links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning Methods for Improved Decoding of Linear Codes
Hit paper breakdown →
2018358
2 1994100
3 198986
4 198670
5 199161
6 201949
7 199146
8 201839
9 199339
10 199435
11 199332
12 200131
13 200929
14 202028
15 198924
16 199418
17 201717
18 199616
19 200215
20 201013

About Y. Be'ery

Y. Be'ery is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computational Theory and Mathematics and Signal Processing, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Coding theory and cryptography (40 papers), Error Correcting Code Techniques (35 papers), Advanced Wireless Communication Techniques (33 papers), Cellular Automata and Applications (12 papers), graph theory and CDMA systems (11 papers), Embedded Systems Design Techniques (3 papers), Cooperative Communication and Network Coding (3 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (733 citations), Artificial Intelligence (873 citations), Electrical and Electronic Engineering (865 citations), Computational Theory and Mathematics (151 citations) and Signal Processing (97 citations). Y. Be'ery has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Alexander Vardy, J. Snyders, Eliya Nachmani, David Burshtein, Warren J. Gross, Loren Lugosch, Yaniv Berger, Ofer Amrani, Weihong Xu and Chuan Zhang. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications, IEEE Journal on Selected Areas in Communications, Speech Communication and IEEE Transactions on Vehicular Technology.

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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