World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
32
Citations
6657
World Ranking
6202
National Ranking
2049

David W. Matolak 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 David W. Matolak 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: 296 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

David W. Matolak 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 David W. Matolak 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

David W. Matolak is affiliated with the University of South Carolina in the United States. Their research primarily spans the field of Engineering, with a particular focus on Electrical and Electronic Engineering and Aerospace Engineering. Their contributions additionally touch on Computer Networks and Communications, General Economics, Econometrics and Finance, and Biomedical Engineering.

The scientist's work addresses multiple advanced topics including:

  • Millimeter-Wave Propagation and Modeling
  • Power Line Communications and Noise
  • UAV Applications and Optimization
  • Radio Wave Propagation Studies
  • Air Traffic Management and Optimization
  • PAPR reduction in OFDM
  • Advanced MIMO Systems Optimization

David W. Matolak has authored several recent papers such as:

  • A 3-D Geometry-Based Stochastic Model for Unmanned Aerial Vehicle MIMO Ricean Fading Channels, 2020, IEEE Internet of Things Journal
  • Advanced Air Mobility: Research Directions for Communications, Navigation, and Surveillance, 2022, IEEE Vehicular Technology Magazine
  • Geometric Analysis of the Doppler Frequency for General Non-Stationary 3D Mobile-to-Mobile Channels Based on Prolate Spheroidal Coordinates, 2020, IEEE Transactions on Vehicular Technology
  • Nonlinear Quasi-Synchronous Multi User Chirp Spread Spectrum Signaling, 2021, IEEE Transactions on Communications
  • Measurement-based determination of parameters for non-stationary TDL models with reduced number of taps, 2020, IET Microwaves Antennas & Propagation

Their frequent co-authors include İsmail Güvenç, Kamesh Namuduri, Zeenat Afroze, Michael Walter, and Nozhan Hosseini.

Publication venues where David W. Matolak frequently publishes include:

  • arXiv (Cornell University)
  • IEEE Vehicular Technology Magazine
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Communications
  • IEEE Internet of Things Journal

Best Publications

  • A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles

    Wahab Khawaja;Ismail Guvenc;David W. Matolak;Uwe-Carsten Fiebig

  • Challenges Toward Wireless Communications for High-Speed Railway

    Bo Ai;Xiang Cheng;Thomas Kürner;Zhang-Dui Zhong

  • Vehicle–Vehicle Channel Models for the 5-GHz Band

    I. Sen;D.W. Matolak

  • Air–Ground Channel Characterization for Unmanned Aircraft Systems—Part I: Methods, Measurements, and Models for Over-Water Settings

    David W. Matolak;Ruoyu Sun

  • Detection, Tracking, and Interdiction for Amateur Drones

    Ismail Guvenc;Farshad Koohifar;Simran Singh;Mihail L. Sichitiu

  • Air–Ground Channel Characterization for Unmanned Aircraft Systems—Part III: The Suburban and Near-Urban Environments

    David W. Matolak;Ruoyu Sun

  • A Survey of Air‐to‐Ground Propagation Channel Modeling for Unmanned Aerial Vehicles

    Wahab Khawaja;Ismail Guvenc;David W. Matolak;Uwe‐Carsten Fiebig

  • A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles

    Wahab Khawaja;Ismail Guvenc;David Matolak;Uwe-Carsten Fiebig

  • Air–Ground Channel Characterization for Unmanned Aircraft Systems Part II: Hilly and Mountainous Settings

    Ruoyu Sun;David W. Matolak

  • Unmanned Aircraft Systems: Air-Ground Channel Characterization for Future Applications

    David W Matolak;Ruoyu Sun

  • Air-ground channels & models: Comprehensive review and considerations for unmanned aircraft systems

    David W. Matolak

  • Channel Modeling for Vehicle-To-Vehicle Communications

    Unknown

  • UWB Channel Sounding and Modeling for UAV Air-to-Ground Propagation Channels

    Wahab Khawaja;Ismail Guvenc;David Matolak

  • A Machine Learning Approach for Power Allocation in HetNets Considering QoS

    Roohollah Amiri;Hani Mehrpouyan;Lex Fridman;Ranjan K. Mallik

  • Detection, localization, and tracking of unauthorized UAS and Jammers

    Ismail Guvenc;Ozgur Ozdemir;Yavuz Yapici;Hani Mehrpouyan

  • iWISE: Inter-router Wireless Scalable Express Channels for Network-on-Chips (NoCs) Architecture

    Unknown

  • Worse-than-Rayleigh fading: Experimental results and theoretical models

    D W Matolak;J Frolik

  • 5-GHz Obstructed Vehicle-to-Vehicle Channel Characterization for Internet of Intelligent Vehicles

    Ke Guan;Danping He;Bo Ai;David W. Matolak

  • Air-Ground Channel Characterization for Unmanned Aircraft Systems—Part IV: Airframe Shadowing

    Ruoyu Sun;David W. Matolak;William Rayess

  • A-WiNoC: Adaptive Wireless Network-on-Chip Architecture for Chip Multiprocessors

    Dominic DiTomaso;Avinash Kodi;David Matolak;Savas Kaya

  • A New Frontier in Ultralow Power Wireless Links: Network-on-Chip and Chip-to-Chip Interconnects

    Soumyasanta Laha;Savas Kaya;David W. Matolak;William Rayess

  • UAV Command and Control, Navigation and Surveillance: A Review of Potential 5G and Satellite Systems

    Nozhan Hosseini;Hosseinali Jamal;Jamal Haque;Thomas Magesacher

  • 5-GHz-Band Vehicle-to-Vehicle Channels: Models for Multiple Values of Channel Bandwidth

    Unknown

  • Surface-to-Surface Transition via Electromagnetic Coupling of Coplanar Waveguides

    R.W. Jackson;D.W. Matolak

  • 5 GHZ wireless channel characterization for vehicle to vehicle communications

    D. W. Matolak;I. Sen;Wenhui Xiong;N. T. Yaskoff

Frequent Co-Authors

Ismail Guvenc
Ismail Guvenc North Carolina State University
Ke Guan
Ke Guan Beijing Jiaotong University
Bo Ai
Bo Ai Beijing Jiaotong University
Christopher L. Holloway
Christopher L. Holloway National Institute of Standards and Technology
Zhangdui Zhong
Zhangdui Zhong Beijing Jiaotong University
Thomas Kurner
Thomas Kurner Technische Universität Braunschweig
Ruisi He
Ruisi He Beijing Jiaotong University
Maged Elkashlan
Maged Elkashlan Queen Mary University of London
Kate A. Remley
Kate A. Remley National Institute of Standards and Technology
Ranjan K. Mallik
Ranjan K. Mallik Indian Institute of Technology Delhi

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