David Burshtein

4.3k citations
89 papers · 2.8k · 2 hit papers · h-index 25

Impact in

Papers in

David Burshtein

86 papers receiving 2.6k citations

David Burshtein's Hit Papers

Deep Learning Methods for Improved Decoding of Linear Codes 2018 · 358 citations
3580+8+16Years since publication100200300400500

Peers

David Burshtein
Comparison fields: 5 of 105
  • Signal Processing 1.1k
  • Computer Networks and Communications 1.3k
  • Computational Mechanics 685
  • Artificial Intelligence 808
  • Electrical and Electronic Engineering 1.2k
Replace Roger Woods with:
Roger Woods United Kingdom
Dimitris A. Pados United States
Tzi‐Dar Chiueh Taiwan
Stephen B. Weinstein United States
Gene Cheung Japan
N. Benvenuto Italy
Federico S. Cattivelli United States
Per Ola Börjesson Sweden
Rodrigo C. de Lamare United Kingdom
Masaki Kobayashi Japan
David Burshtein relative to Roger Woods United Kingdom Roger Woods's profile →
Citations per field
00.5×3.2×
Roger Woods · 1×
Citations per year

Countries citing papers authored by David Burshtein

Since Specialization
Citations

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

Fields of papers citing papers by David Burshtein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Signal enhancement using beamforming and nonstationarity with applications to speech
Hit paper breakdown →
2001540
2
Deep Learning Methods for Improved Decoding of Linear Codes
Hit paper breakdown →
2018358
3 1998199
4 2006176
5 2004133
6 2001115
7 200492
8 200287
9 200779
10 200678
11 200464
12 200160
13 200252
14 200940
15 201339
16 199239
17 199636
18 200232
19 200432
20 201430

About David Burshtein

David Burshtein is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing and Computational Mechanics, having authored 89 papers that have together received 2.8k indexed citations. Recurring topics across this work include Error Correcting Code Techniques (44 papers), Advanced Wireless Communication Techniques (43 papers), Cooperative Communication and Network Coding (33 papers), Speech and Audio Processing (24 papers), Speech Recognition and Synthesis (21 papers), Music and Audio Processing (11 papers), Advanced Adaptive Filtering Techniques (9 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computer Networks and Communications (1.3k citations), Computational Mechanics (685 citations), Artificial Intelligence (808 citations) and Electrical and Electronic Engineering (1.2k citations). David Burshtein has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Sharon Gannot, E. Weinstein, Gad Miller, Amir Bennatan, Loren Lugosch, Eliya Nachmani, Y. Be'ery, Warren J. Gross, Hagai Aronowitz and Dina Goldin. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Speech and Audio Processing, IEEE Transactions on Signal Processing, IEEE Transactions on Automatic Control and IEEE Journal on Selected Areas in Communications.

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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