Norman C. Beaulieu

19.0k citations
646 papers · 14.1k indexed · 3 hit papers · h-index 60
Topics
Advanced Wireless Communication Techniques (365 papers)Wireless Communication Networks Research (282 papers)Cooperative Communication and Network Coding (177 papers)

In The Last Decade

Norman C. Beaulieu

620 papers receiving 13.4k citations

Hit Papers

A comparison of SNR estimation techniques for the AWGN ch...2000202620082017200020052014200400600

Peers

Norman C. Beaulieu
Comparison fields: 5 of 131
  • Electrical and Electronic Engineering 12.5k
  • Computer Networks and Communications 9.1k
  • Aerospace Engineering 2.0k
  • Signal Processing 919
  • Artificial Intelligence 827
Replace Daniel P. Palomar with:
Daniel P. Palomar Hong Kong
Pramod Viswanath United States
Vahid Tarokh United States
M.K. Simon United States
Chintha Tellambura Canada
Shlomo Shamai Israel
E. Biglieri Italy
Marco Chiani Italy
Babak Hassibi United States
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Norman C. Beaulieu relative to Daniel P. Palomar Hong Kong Daniel P. Palomar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Norman C. Beaulieu

Since Specialization
Citations

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

Fields of papers citing papers by Norman C. Beaulieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Norman C. Beaulieu. 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 Norman C. Beaulieu. The network helps show where Norman C. Beaulieu may publish in the future.

Co-authorship network of co-authors of Norman C. Beaulieu

This figure shows the co-authorship network connecting the top 25 collaborators of Norman C. Beaulieu. A scholar is included among the top collaborators of Norman C. Beaulieu 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 Norman C. Beaulieu. Norman C. Beaulieu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 8
3 9
4 8
5 2
6 5
7 10
8 34
9 6
10 19
11 61
12 83
13 14
14 5
15 46
16 21
17 5
18 13
19 10
20
A Family of Low Complexity Adaptive Binary Linear Block Codes
1

About Norman C. Beaulieu

Norman C. Beaulieu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 646 papers that have together received 14.1k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (365 papers), Wireless Communication Networks Research (282 papers) and Cooperative Communication and Network Coding (177 papers). The work is most often cited by research in Computer Networks and Communications (9.1k citations), Electrical and Electronic Engineering (12.5k citations) and Signal Processing (919 citations). Norman C. Beaulieu has collaborated with scholars based in Canada, China and United Kingdom. Frequent co-authors include Adnan Abu‐Dayya, Julian Cheng, Kareem E. Baddour, C.C. Tan, Yunfei Chen, Golnaz Farhadi, Jeremiah Hu, Peng Hui Tan, Bo Hu and Mohamed Oussama Damen. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

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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