Warren J. Gross

8.4k citations
261 papers · 5.2k · 1 hit paper · h-index 38

Impact in

Papers in

Warren J. Gross

248 papers receiving 5.0k citations

Warren J. Gross's Hit Papers

Deep Learning Methods for Improved Decoding of Linear Codes 2018 · 344 citations
3440+2+5Years since publication100200300

Peers

Warren J. Gross
Comparison fields: 5 of 120
  • Computer Networks and Communications 3.3k
  • Electrical and Electronic Engineering 3.7k
  • Artificial Intelligence 2.0k
  • Hardware and Architecture 248
  • Computational Theory and Mathematics 317
Replace Á. Rodríguez‐Vázquez with:
Á. Rodríguez‐Vázquez Spain
Richard E. Blahut United States
Gianluca Setti Italy
John Shalf United States
Ido Kanter Israel
Scott Hauck United States
Solomon W. Golomb United States
Leonel Sousa Portugal
Robert Calderbank United States
Jeffrey S. Vetter United States
Warren J. Gross relative to Á. Rodríguez‐Vázquez Spain Á. Rodríguez‐Vázquez's profile →
Citations per field
00.5×3.3×
Á. Rodríguez‐Vázquez · 1×
Citations per year

Countries citing papers authored by Warren J. Gross

Since Specialization
Citations

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

Fields of papers citing papers by Warren J. Gross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Warren J. Gross. 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 Warren J. Gross. The network helps show where Warren J. Gross may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 261 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 →
2018344
2 2014247
3 2012214
4 2017167
5 2008154
6 2017143
7 2006119
8 1980117
9 2011109
10 201095
11 199987
12 201484
13 201781
14 201669
15 201368
16 200360
17 201660
18 199859
19 200358
20 201756

About Warren J. Gross

Warren J. Gross is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, having authored 261 papers that have together received 5.2k indexed citations. Recurring topics across this work include Error Correcting Code Techniques (147 papers), Advanced Wireless Communication Techniques (113 papers), Cooperative Communication and Network Coding (37 papers), Coding theory and cryptography (37 papers), Advanced Memory and Neural Computing (24 papers), DNA and Biological Computing (23 papers), Advanced Neural Network Applications (18 papers) and Neural Networks and Applications (15 papers). The work is most often cited by research in Computer Networks and Communications (3.3k citations), Electrical and Electronic Engineering (3.7k citations), Artificial Intelligence (2.0k citations), Hardware and Architecture (248 citations) and Computational Theory and Mathematics (317 citations). Warren J. Gross has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Carlo Condo, Gabi Sarkis, Shie Mannor, Seyyed Ali Hashemi, Alexandre J. Raymond, Naoya Onizawa, Arash Ardakani, Takahiro Hanyu, Pascal Giard and Claude Thibeault. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Communications Letters, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Magnetics.

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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