World's Best Scientists 2026 revealed!
Moe Z. Win

Moe Z. Win

Award Badge
Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
100
Citations
48663
World Ranking
178
National Ranking
88

Moe Z. Win 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 Moe Z. Win 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: 446 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: 590 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Moe Z. Win 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 Moe Z. Win sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 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: 100 D-Index — 97th percentile

97% 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

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2011 - IEEE Kiyo Tomiyasu Award “For fundamental contributions to highspeed reliable communications using optical and wireless channels”
  • 2011 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2006 - IEEE Eric E. Sumner Award “For pioneering contributions to ultra-wide band communications science and technology.”
  • 2004 - IEEE Fellow For contributions to wideband wireless transmission.

Overview

Moe Z. Win is affiliated with MIT in the United States. Their research spans multiple fields primarily within Engineering and Computer Science, with a focus on Electrical and Electronic Engineering, Artificial Intelligence, and Computer Networks and Communications. Secondary subfields include Atomic and Molecular Physics, and Optics, and Ocean Engineering.

The scientist's main research topics include:

  • Indoor and Outdoor Localization Technologies
  • Quantum Information and Cryptography
  • Quantum Computing Algorithms and Architecture
  • Distributed Sensor Networks and Detection Algorithms
  • Quantum Mechanics and Applications
  • Target Tracking and Data Fusion in Sensor Networks
  • Underwater Vehicles and Communication Systems

Recent publications by Moe Z. Win illustrate their research focus and include:

  • "Location Awareness in Beyond 5G Networks via Reconfigurable Intelligent Surfaces", 2022, IEEE Journal on Selected Areas in Communications
  • "Optimal Remote Entanglement Distribution", 2020, IEEE Journal on Selected Areas in Communications
  • "Location Awareness in Beyond 5G Networks", 2021, IEEE Communications Magazine
  • "Joint Communication and Localization in Millimeter Wave Networks", 2021, IEEE Journal of Selected Topics in Signal Processing
  • "Scalable Data Association for Extended Object Tracking", 2020, IEEE Transactions on Signal and Information Processing over Networks

Frequent co-authors collaborating with Moe Z. Win include:

  • Andrea Conti
  • Zhenyu Liu
  • Hyundong Shin
  • Sanjoy K. Mitter
  • Yuan Shen

Moe Z. Win's work has been published extensively in venues such as:

  • IEEE Journal on Selected Areas in Communications
  • arXiv (Cornell University)
  • IEEE Communications Magazine
  • IEEE Transactions on Wireless Communications
  • IEEE Journal of Selected Topics in Signal Processing

Awards received by Moe Z. Win include:

  • IEEE Kiyo Tomiyasu Award (2011) for fundamental contributions to highspeed reliable communications using optical and wireless channels
  • Fellow of the American Association for the Advancement of Science (AAAS) (2011)
  • IEEE Eric E. Sumner Award (2006) for pioneering contributions to ultra-wide band communications science and technology
  • IEEE Fellow (2004) for contributions to wideband wireless transmission

Best Publications

  • Ultra-wide bandwidth time-hopping spread-spectrum impulse radio for wireless multiple-access communications

    M.Z. Win;R.A. Scholtz

  • Impulse radio: how it works

    M.Z. Win;R.A. Scholtz

  • Cooperative Localization in Wireless Networks

    H. Wymeersch;J. Lien;M.Z. Win

  • Cooperative Communications with Outage-Optimal Opportunistic Relaying

    A. Bletsas;Hyundong Shin;M.Z. Win

  • The ultra-wide bandwidth indoor channel: from statistical model to simulations

    D. Cassioli;M.Z. Win;A.F. Molisch

  • MIMO systems with antenna selection

    A.F. Molisch;M.Z. Win

  • Ranging With Ultrawide Bandwidth Signals in Multipath Environments

    D. Dardari;A. Conti;U. Ferner;A. Giorgetti

  • Evaluation of an ultra-wide-band propagation channel

    R.J.-M. Cramer;R.A. Scholtz;M.Z. Win

  • Capacity of MIMO systems with antenna selection

    A.F. Molisch;M.Z. Win;Yang-Seok Choi;J.H. Winters

  • A Comprehensive Standardized Model for Ultrawideband Propagation Channels

    A.F. Molisch;D. Cassioli;Chia-Chin Chong;S. Emami

  • Analysis of hybrid selection/maximal-ratio combining in Rayleigh fading

    M.Z. Win;J.H. Winters

  • Fundamental Limits of Wideband Localization— Part I: A General Framework

    Yuan Shen;M Z Win

  • On the capacity of spatially correlated MIMO Rayleigh-fading channels

    M. Chiani;M.Z. Win;A. Zanella

  • Characterization of ultra-wide bandwidth wireless indoor channels: a communication-theoretic view

    M.Z. Win;R.A. Scholtz

  • On the robustness of ultra-wide bandwidth signals in dense multipath environments

    M.Z. Win;R.A. Scholtz

  • NLOS identification and mitigation for localization based on UWB experimental data

    Stefano Maranò;Wesley M Gifford;Henk Wymeersch;Moe Z Win

  • A Mathematical Theory of Network Interference and Its Applications

    M.Z. Win;P.C. Pinto;L.A. Shepp

  • On the energy capture of ultrawide bandwidth signals in dense multipath environments

    M.Z. Win;R.A. Scholtz

  • Fundamental Limits of Wideband Localization— Part II: Cooperative Networks

    Yuan Shen;H Wymeersch;M Z Win

  • Network localization and navigation via cooperation

    M Z Win;A Conti;S Mazuelas;Yuan Shen

  • Cooperative Localization in Wireless Networks In harsh environments where geographic positioning fails, communication between wireless nodes can be used to improve the accuracy of location information.

    Henk Wymeersch;Jaime Lien;Moe Z. Win

Frequent Co-Authors

Marco Chiani
Marco Chiani University of Bologna
Andrea Conti
Andrea Conti University of Ferrara
Hyundong Shin
Hyundong Shin Kyung Hee University
Tony Q. S. Quek
Tony Q. S. Quek Singapore University of Technology and Design
Davide Dardari
Davide Dardari University of Bologna
Jack Harriman Winters
Jack Harriman Winters Jack Winters Communications
Andreas F. Molisch
Andreas F. Molisch University of Southern California
Robert A. Scholtz
Robert A. Scholtz University of Southern California
Ranjan K. Mallik
Ranjan K. Mallik Indian Institute of Technology Delhi
Henk Wymeersch
Henk Wymeersch Chalmers University of Technology

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