World's Best Scientists 2026 revealed!
Gerald Matz

Gerald Matz

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
39
Citations
6947
World Ranking
4661
National Ranking
14

Gerald Matz 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 Gerald Matz 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: 215 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Gerald Matz 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 Gerald Matz 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Gerald Matz is affiliated with TU Wien in Austria and conducts research primarily in the field of Computer Science. Their work spans multiple subfields including Artificial Intelligence, Statistical and Nonlinear Physics, Cognitive Neuroscience, Statistics and Probability, and General Health Professions.

Their research topics include:

  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Algorithms and Data Compression
  • Wireless Communication Security Techniques
  • Advanced Data Compression Techniques
  • Bayesian Modeling and Causal Inference
  • Multi-Criteria Decision Making

Matz's recent publications cover a range of topics related to graph learning, signal processing, and clustering methods. Notable papers include:

  • Efficient Graph Learning From Noisy and Incomplete Data (2020), published in IEEE Transactions on Signal and Information Processing over Networks
  • Distributed information-theoretic clustering (2021), published in Information and Inference A Journal of the IMA
  • Signal Processing on Signed Graphs: Fundamentals and Potentials (2020), published in IEEE Signal Processing Magazine
  • Relational local electroencephalography representations for sleep scoring (2022), published in Neural Networks
  • Non-Convex Total Variation Minimization for Signed Graph Cut Clustering (2021), published in 2021 55th Asilomar Conference on Signals, Systems, and Computers

Frequent collaborators in Matz's work include Thomas Dittrich, Georg Pichler, Pablo Piantanida, Peter Berger, and Gábor Hannák. Their contributions have appeared across a variety of publication venues such as:

  • Information and Inference A Journal of the IMA
  • IEEE Transactions on Signal and Information Processing over Networks
  • IEEE Signal Processing Magazine
  • Neural Networks
  • 2021 55th Asilomar Conference on Signals, Systems, and Computers

Best Publications

  • Survey of channel and radio propagation models for wireless MIMO systems

    P. Almers;E. Bonek;A. Burr;N. Czink

  • Wireless Communications Over Rapidly Time-Varying Channels

    Franz Hlawatsch;Gerald Matz

  • Lattice Reduction

    Dirk Wübben;Dominik Seethaler;Joakim Jaldén;Gerald Matz

  • On non-WSSUS wireless fading channels

    G. Matz

  • MMSE and adaptive prediction of time-varying channels for OFDM systems

    D. Schafhuber;G. Matz

  • Non-WSSUS vehicular channel characterization in highway and urban scenarios at 5.2GHz using the local scattering function

    Alexander Paier;Thomas Zemen;Laura Bernado;Gerald Matz

  • Non-WSSUS vehicular channel characterization in highway and urban scenarios at 5.2 GHz using the local scattering function

    Alexander Paier;Thomas Zemen;Laura Bernado;Gerald Matz

  • Time-frequency formulation, design, and implementation of time-varying optimal filters for signal estimation

    F. Hlawatsch;G. Matz;H. Kirchauer;W. Kozek

  • Analysis, Optimization, and Implementation of Low-Interference Wireless Multicarrier Systems

    G. Matz;D. Schafhuber;K. Grochenig;M. Hartmann

  • Dispersion encoded full range frequency domain optical coherence tomography

    Bernd Hofer;Boris Považay;Boris Hermann;Angelika Unterhuber

  • Pulse-shaping OFDM/BFDM systems for time-varying channels: ISI/ICI analysis, optimal pulse design, and efficient implementation

    D. Schafhuber;G. Matz;F. Hlawatsch

  • An efficient MMSE-based demodulator for MIMO bit-interleaved coded modulation

    D. Seethaler;G. Matz;F. Hlawatsch

  • Worst- and average-case complexity of LLL lattice reduction in MIMO wireless systems

    J. Jalden;D. Seethaler;G. Matz

  • Wigner distributions (nearly) everywhere: time-frequency analysis of signals, systems, random processes, signal spaces, and frames

    Gerald Matz;Franz Hlawatsch

  • Time-Frequency Foundations of Communications: Concepts and Tools

    Gerald Matz;Helmut Bolcskei;Franz Hlawatsch

  • Linear Time-Frequency Filters: On-line Algorithms and Applications

    Gerald Matz;Franz Hlawatsch

  • Low Complexity Equalization for Doubly Selective Channels Modeled by a Basis Expansion

    T Hrycak;S Das;G Matz;H G Feichtinger

  • Kalman tracking of time-varying channels in wireless MIMO-OFDM systems

    D. Schafhuber;G. Matz;F. Hlawatsch

  • Generalized evolutionary spectral analysis and the Weyl spectrum of nonstationary random processes

    G. Matz;F. Hlawatsch;W. Kozek

  • Time-frequency transfer function calculus (symbolic calculus) of linear time-varying systems (linear operators) based on a generalized underspread theory

    Gerald Matz;Franz Hlawatsch

Frequent Co-Authors

Joakim Jalden
Joakim Jalden Royal Institute of Technology
Andreas Burg
Andreas Burg École Polytechnique Fédérale de Lausanne
Karlheinz Gröchenig
Karlheinz Gröchenig University of Vienna
Peter Gerstoft
Peter Gerstoft University of California, San Diego
Andreas F. Molisch
Andreas F. Molisch University of Southern California
Nicolai Czink
Nicolai Czink Stanford University
Pierre Duhamel
Pierre Duhamel CentraleSupélec
Boualem Boashash
Boualem Boashash University of Queensland

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