Loren Lugosch

1.2k total citations · 1 hit paper
5 papers, 417 citations indexed

About

Loren Lugosch is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Loren Lugosch has authored 5 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Loren Lugosch's work include Error Correcting Code Techniques (2 papers), Advanced Wireless Communication Techniques (2 papers) and Wireless Signal Modulation Classification (1 paper). Loren Lugosch is often cited by papers focused on Error Correcting Code Techniques (2 papers), Advanced Wireless Communication Techniques (2 papers) and Wireless Signal Modulation Classification (1 paper). Loren Lugosch collaborates with scholars based in Canada, Algeria and Israel. Loren Lugosch's co-authors include Warren J. Gross, Eliya Nachmani, Y. Be'ery, David Burshtein, Brett H. Meyer, Hao Shu, Ronan Collobert, Gabriel Synnaeve, Tatiana Likhomanenko and Guillaume Richard and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, Energy and AI and ACM Transactions on Cyber-Physical Systems.

In The Last Decade

Loren Lugosch

5 papers receiving 409 citations

Hit Papers

Deep Learning Methods for Improved Decoding of Linear Codes 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning Methods for Improved Decoding of Linear Codes
    2018 344 citations Eliya Nachmani, Loren Lugosch et al. IEEE Journal of Selected Topics in Signal Processing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Loren Lugosch Canada 4 283 227 208 59 46 5 417
Mehmet E. Çelebi Türkiye 11 276 1.0× 125 0.6× 196 0.9× 46 0.8× 13 0.3× 60 413
Merima Kulin Belgium 6 197 0.7× 231 1.0× 153 0.7× 25 0.4× 56 1.2× 10 423
Kathiravetpillai Sivanesan Canada 10 527 1.9× 150 0.7× 315 1.5× 11 0.2× 49 1.1× 32 655
Tarik Kazaz Netherlands 8 198 0.7× 209 0.9× 114 0.5× 24 0.4× 59 1.3× 15 390
Fan Meng China 5 305 1.1× 289 1.3× 170 0.8× 86 1.5× 40 0.9× 13 591
Fei Liang China 6 327 1.2× 172 0.8× 183 0.9× 27 0.5× 51 1.1× 12 445
Tianjing Wang China 9 73 0.3× 66 0.3× 193 0.9× 24 0.4× 16 0.3× 34 325
Sajjad Ahmed Ghauri Pakistan 11 167 0.6× 134 0.6× 117 0.6× 59 1.0× 34 0.7× 39 354
Mohamed El‐Tarhuni United Arab Emirates 9 192 0.7× 118 0.5× 119 0.6× 38 0.6× 47 1.0× 47 365
Daniel Wu United States 14 470 1.7× 77 0.3× 278 1.3× 16 0.3× 27 0.6× 31 639

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 of co-authors of Loren Lugosch

This figure shows the co-authorship network connecting the top 25 collaborators of Loren Lugosch. A scholar is included among the top collaborators of Loren Lugosch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Loren Lugosch. Loren Lugosch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Lugosch, Loren, et al.. (2023). A data-driven framework for medium-term electric vehicle charging demand forecasting. Energy and AI. 14. 100267–100267. 41 indexed citations
2.
Richard, Guillaume, et al.. (2023). DT-DS: CAN Intrusion Detection with Decision Tree Ensembles. ACM Transactions on Cyber-Physical Systems. 7(1). 1–27. 3 indexed citations
3.
Lugosch, Loren, Tatiana Likhomanenko, Gabriel Synnaeve, & Ronan Collobert. (2022). Pseudo-Labeling for Massively Multilingual Speech Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7687–7691. 10 indexed citations
4.
Nachmani, Eliya, et al.. (2018). Deep Learning Methods for Improved Decoding of Linear Codes. IEEE Journal of Selected Topics in Signal Processing. 12(1). 119–131. 344 indexed citations breakdown →
5.
Lugosch, Loren & Warren J. Gross. (2018). Learning from the Syndrome. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. 19 indexed citations

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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2026