Loren Lugosch

1.2k citations
5 papers · 417 indexed · 1 hit paper · h-index 4

Loren Lugosch

5 papers receiving 409 citations

Hit Papers

Deep Learning Methods for Improved Decoding of Linear Codes3442018202620202023100200300

Peers

Loren Lugosch
Comparison fields: 5 of 51
  • Computer Networks and Communications 208
  • Artificial Intelligence 227
  • Computational Mathematics 4
  • Electrical and Electronic Engineering 283
  • Signal Processing 46
Replace Kathiravetpillai Sivanesan with:
Kathiravetpillai Sivanesan Canada
Hao-Hsuan Chang United States
Ruhui Ma China
Mehmet E. Çelebi Türkiye
Yuanyuan Sun China
José-María Arnau Spain
Feiyi Xie China
Merima Kulin Belgium
Lei Cao United States
George Kornaros Greece
Loren Lugosch relative to Kathiravetpillai Sivanesan Canada Kathiravetpillai Sivanesan's profile →
Citations per field
00.5×1.5×
Kathiravetpillai Sivanesan · 1×
Citations per year

Countries citing papers authored by Loren Lugosch

Since Specialization
Citations

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

Fields of papers citing papers by Loren Lugosch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Loren Lugosch, 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 Loren Lugosch Line = papers co-authored together Loren Lugosch links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 202341
2 20233
3 202210
4
Deep Learning Methods for Improved Decoding of Linear Codesbreakdown →
2018344
5 201819

About Loren Lugosch

Loren Lugosch is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 5 papers that have together received 417 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (2 papers), Advanced Wireless Communication Techniques (2 papers), Wireless Signal Modulation Classification (1 paper), Energy, Environment, and Transportation Policies (1 paper), Electric Vehicles and Infrastructure (1 paper), Advanced Battery Technologies Research (1 paper), Speech and Audio Processing (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Computer Networks and Communications (208 citations), Artificial Intelligence (227 citations) and Computational Mathematics (4 citations). Loren Lugosch has collaborated with scholars based in Canada, Algeria and Israel. Frequent co-authors include Warren J. Gross, Eliya Nachmani, Y. Be'ery, David Burshtein, Hao Shu, Brett H. Meyer, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert and Guillaume Richard. Their work appears in journals such as Energy and AI, ACM Transactions on Cyber-Physical Systems, IEEE Journal of Selected Topics in Signal Processing, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

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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