World's Best Scientists 2026 revealed!
Jeffrey H. Reed

Jeffrey H. Reed

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
66
Citations
22674
World Ranking
1120
National Ranking
469

Jeffrey H. Reed 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 Jeffrey H. Reed 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: 440 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Jeffrey H. Reed 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 Jeffrey H. Reed 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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Overview

Jeffrey H. Reed is affiliated with Virginia Tech in the United States. Their research spans several interconnected fields with a focus on engineering and computer science, particularly electrical and electronic engineering, computer networks and communications, aerospace engineering, artificial intelligence, and signal processing.

The scientist's work concentrates on various topics related to wireless communications and advanced network systems. These topics include:

  • Advanced MIMO Systems Optimization
  • Millimeter-Wave Propagation and Modeling
  • Advanced Wireless Communication Technologies
  • Age of Information Optimization
  • UAV Applications and Optimization
  • Energy Harvesting in Wireless Networks
  • Satellite Communication Systems

Jeffrey H. Reed has published extensively, with notable papers including:

  • "Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G" (2020), published in IEEE Wireless Communications
  • "Intelligent O-RAN for Beyond 5G and 6G Wireless Networks" (2022), published in 2022 IEEE Globecom Workshops (GC Wkshps)
  • "Optimizing Number, Placement, and Backhaul Connectivity of Multi-UAV Networks" (2022), published in IEEE Internet of Things Journal
  • "Intelligent O-RAN for Beyond 5G and 6G Wireless Networks" (2020), published in arXiv (Cornell University)
  • "Self-Tuning Sectorization: Deep Reinforcement Learning Meets Broadcast Beam Optimization" (2020), published in IEEE Transactions on Wireless Communications

Their frequent publication venues reflect a consistent focus on wireless communication and emerging technologies, including:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Wireless Communications
  • IEEE Access
  • IEEE Transactions on Wireless Communications

Jeffrey H. Reed collaborates regularly with a group of coauthors, with the most frequent including:

  • Vijay K. Shah
  • Wenjing Lou
  • Y. Thomas Hou
  • Harpreet S. Dhillon
  • Vuk Marojevic

Their research contributions reflect interdisciplinary applications in cellular and wireless networks, intelligent radio access networks, UAV network optimization, and reinforcement learning applied to communication systems.

Best Publications

  • Overview of spatial channel models for antenna array communication systems

    R.B. Ertel;P. Cardieri;K.W. Sowerby;T.S. Rappaport

  • Spectrum Sensing for Cognitive Radio

    S. Haykin;D.J. Thomson;J.H. Reed

  • Position location using wireless communications on highways of the future

    T.S. Rappaport;J.H. Reed;B.D. Woerner

  • Defense against Primary User Emulation Attacks in Cognitive Radio Networks

    Ruiliang Chen;Jung-Min Park;J.H. Reed

  • Software radio: a modern approach to radio engineering

    Jeffrey Reed

  • An overview of the challenges and progress in meeting the E-911 requirement for location service

    J.H. Reed;K.J. Krizman;B.D. Woerner;T.S. Rappaport

  • Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges

    Solmaz Niknam;Harpreet S. Dhillon;Jeffrey H. Reed

  • A new approach to signal classification using spectral correlation and neural networks

    A. Fehske;J. Gaeddert;J.H. Reed

  • Using game theory to analyze wireless ad hoc networks

    V. Srivastava;J. Neel;A.B. Mackenzie;R. Menon

  • Cyclostationary Approaches to Signal Detection and Classification in Cognitive Radio

    Kyouwoong Kim;I.A. Akbar;K.K. Bae;Jung-sun Urn

  • Introduction to Ultra Wideband Communication Systems, An

    Jeffrey Reed

  • Handoff in cellular systems

    N.D. Tripathi;J.H. Reed;H.F. VanLandinoham

  • Analog-to-digital converters

    Bin Le;T.W. Rondeau;J.H. Reed;C.W. Bostian

  • Toward secure distributed spectrum sensing in cognitive radio networks

    Ruiliang Chen;Jung-Min Park;Y.T. Hou;J.H. Reed

  • Angle and time of arrival statistics for circular and elliptical scattering models

    R.B. Ertel;J.H. Reed

  • A Survey of Artificial Intelligence for Cognitive Radios

    An He;Kyung Kyoon Bae;Timothy R Newman;Joseph Gaeddert

  • Geometrical-based statistical macrocell channel model for mobile environments

    P. Petrus;J.H. Reed;T.S. Rappaport

  • Analysis and design of cognitive radio networks and distributed radio resource management algorithms

    Jeffrey H. Reed;James O'Daniell Neel

  • Interference rejection in digital wireless communications

    J.D. Laster;J.H. Reed

  • Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G

    Rubayet Shafin;Lingjia Liu;Vikram Chandrasekhar;Hao Chen

  • Applying Radio Environment Maps to Cognitive Wireless Regional Area Networks

    Youping Zhao;L. Morales;J. Gaeddert;K.K. Bae

Frequent Co-Authors

Theodore S. Rappaport
Theodore S. Rappaport New York University
Allen B. MacKenzie
Allen B. MacKenzie Tennessee Technological University
Shiwen Mao
Shiwen Mao Auburn University
T. Charles Clancy
T. Charles Clancy Virginia Tech
Y. Thomas Hou
Y. Thomas Hou Virginia Tech
Jung-Min Park
Jung-Min Park Virginia Tech
Ravi Tandon
Ravi Tandon University of Arizona
Harpreet S. Dhillon
Harpreet S. Dhillon Virginia Tech
Lingjia Liu
Lingjia Liu Virginia Tech
Luiz A. DaSilva
Luiz A. DaSilva Virginia Tech

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