World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
77
Citations
22391
World Ranking
613
National Ranking
96

Norman C. Beaulieu publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Norman C. Beaulieu sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 765 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Norman C. Beaulieu D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Norman C. Beaulieu sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2002 - Fellow of the Royal Society of Canada Academy of Science
  • 1999 - IEEE Fellow For contributions to the analysis and modeling of wireless data and digital communication systems.

Overview

Norman C. Beaulieu is affiliated with Beijing University of Posts and Telecommunications in China. Their research spans primarily the fields of Engineering and Computer Science, with a specific focus on Electrical and Electronic Engineering and Computer Networks and Communications.

The scientist's work is concentrated on topics including:

  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Techniques
  • Advanced Wireless Communication Technologies
  • Caching and Content Delivery
  • Power Line Communications and Noise
  • Wireless Communication Security Techniques
  • IoT Networks and Protocols

Several recent papers authored or coauthored by Norman C. Beaulieu include:

  • "Heterogeneous Semi-Blind Interference Alignment in Finite-SNR Networks With Fairness Consideration," 2020, IEEE Transactions on Wireless Communications
  • "Exact BER Performance for Symbol-Asynchronous Two-User Non-Orthogonal Multiple Access," 2020, IEEE Communications Letters
  • "Exact SER and BER Analysis on Jointly Optimal Maximum Likelihood Detection of Two QPSK Signals With Phase Offset," 2021, IEEE Transactions on Vehicular Technology
  • "Fast Simulation of Additive Generalized Gaussian Noise Environments," 2020, IEEE Communications Letters
  • "Power Allocation for SWIPT in Full-Duplex AF Relay Interference Channels Using Game Theory," 2020, IEEE Communications Letters

Frequent co-authors collaborating with Norman C. Beaulieu include:

  • Chang Liu
  • Chunxiao Jiang
  • Qing Yang
  • Ting Jiang
  • Jingjing Wang

The venues in which their work is regularly published demonstrate a pattern in communications and wireless technology fields. These frequent publication venues are:

  • IEEE Communications Letters
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Communications
  • IEEE Systems Journal

Norman C. Beaulieu's contributions to their field have been recognized through awards such as:

  • Fellow of the Royal Society of Canada (2002)
  • IEEE Fellow (1999) for contributions to the analysis and modeling of wireless data and digital communication systems

Best Publications

  • A comparison of SNR estimation techniques for the AWGN channel

    D.R. Pauluzzi;N.C. Beaulieu

  • Autoregressive modeling for fading channel simulation

    K.E. Baddour;N.C. Beaulieu

  • Resource Allocation in Spectrum-Sharing OFDMA Femtocells With Heterogeneous Services

    Haijun Zhang;Chunxiao Jiang;Norman C. Beaulieu;Xiaoli Chu

  • On first-order Markov modeling for the Rayleigh fading channel

    C.C. Tan;N.C. Beaulieu

  • Limitations of sum-of-sinusoids fading channel simulators

    M.F. Pop;N.C. Beaulieu

  • Estimating the distribution of a sum of independent lognormal random variables

    N. C. Beaulieu;A. A. Abu-Dayya;P. J. McLane

  • A closed-form expression for the outage probability of decode-and-forward relaying in dissimilar Rayleigh fading channels

    N.C. Beaulieu;J. Hu

  • Resource Allocation for Cognitive Small Cell Networks: A Cooperative Bargaining Game Theoretic Approach

    Haijun Zhang;Chunxiao Jiang;Norman C. Beaulieu;Xiaoli Chu

  • The generation of correlated Rayleigh random variates by inverse discrete Fourier transform

    D.J. Young;N.C. Beaulieu

  • An optimal lognormal approximation to lognormal sum distributions

    N.C. Beaulieu;Qiong Xie

  • Outage probabilities in the presence of correlated lognormal interferers

    A.A. Abu-Dayya;N.C. Beaulieu

  • Efficient Nakagami-m fading channel Simulation

    N.C. Beaulieu;C. Cheng

  • Novel Sum-of-Sinusoids Simulation Models for Rayleigh and Rician Fading Channels

    C. Xiao;Y.R. Zheng;N.C. Beaulieu

  • A "better than" Nyquist pulse

    N.C. Beaulieu;C.C. Tan;M.O. Damen

  • The evaluation of error probabilities for intersymbol and cochannel interference

    N.C. Beaulieu

  • Analysis of equal gain diversity on Nakagami fading channels

    N. C. Beaulieu;A. A. Abu-Dayya

  • Infinite series representations of the bivariate Rayleigh and Nakagami-m distributions

    C.C. Tan;N.C. Beaulieu

  • A Comparison of DCT-Based OFDM and DFT-Based OFDM in Frequency Offset and Fading Channels

    Peng Tan;N.C. Beaulieu

  • Outage probabilities of cellular mobile radio systems with multiple Nakagami interferers

    A.A. Abu-Dayya;N.C. Beaulieu

  • Accurate evaluation of multiple-access performance in TH-PPM and TH-BPSK UWB systems

    Bo Hu;N.C. Beaulieu

  • Analysis of switched diversity systems on generalized-fading channels

    A.A. Abu-Dayya;N.C. Beaulieu

  • New results on selection diversity

    E.A. Neasmith;N.C. Beaulieu

  • Reduced ICI in OFDM systems using the "better than" raised-cosine pulse

    Peng Tan;N.C. Beaulieu

  • Comparison of four SNR estimators for QPSK modulations

    N.C. Beaulieu;A.S. Toms;D.R. Pauluzzi

  • Accurate performance evaluation of time-hopping and direct-sequence UWB systems in multi-user interference

    Bo Hu;N.C. Beaulieu

Frequent Co-Authors

Yunfei Chen
Yunfei Chen University of Warwick
Julian Cheng
Julian Cheng University of British Columbia
Chunxiao Jiang
Chunxiao Jiang Tsinghua University
H. El Gamal
H. El Gamal University of Sydney
Chengshan Xiao
Chengshan Xiao Lehigh University
Yahong Rosa Zheng
Yahong Rosa Zheng Lehigh University
Xiaoli Chu
Xiaoli Chu University of Sheffield
Haijun Zhang
Haijun Zhang University of Science and Technology Beijing
Xiaodai Dong
Xiaodai Dong University of Victoria

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