World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
56
Citations
18332
World Ranking
2025
National Ranking
59

Martin Haardt 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 Martin Haardt 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: 488 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Martin Haardt 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 Martin Haardt 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: 56 D-Index — 71st percentile

71% 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

  • 2018 - IEEE Fellow For contributions to multi-user MIMO communications and tensor-based signal processing

Overview

Martin Haardt is affiliated with the Ilmenau University of Technology in Germany. Their research spans multiple areas within engineering and computer science, notably focusing on electrical and electronic engineering, signal processing, aerospace engineering, computational mathematics, and computer networks and communications.

The scientist's work extensively covers advanced topics in wireless communication and signal processing. Key research themes include:

  • Advanced MIMO Systems Optimization
  • Tensor decomposition and applications
  • Direction-of-Arrival Estimation Techniques
  • Wireless Communication Networks Research
  • Advanced Wireless Communication Techniques
  • Indoor and Outdoor Localization Technologies
  • Millimeter-Wave Propagation and Modeling

Martin Haardt's publication record involves frequent contributions to prominent venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Signal Processing Magazine
  • IEEE Signal Processing Letters
  • 2021 55th Asilomar Conference on Signals, Systems, and Computers

Notable recent papers authored or coauthored by Martin Haardt include:

  • "Structured Nyquist Correlation Reconstruction for DOA Estimation With Sparse Arrays," 2023, IEEE Transactions on Signal Processing
  • "Twenty-Five Years of Sensor Array and Multichannel Signal Processing: A review of progress to date and potential research directions," 2023, IEEE Signal Processing Magazine
  • "Coupled Coarray Tensor CPD for DOA Estimation With Coprime L-Shaped Array," 2021, IEEE Signal Processing Letters
  • "Gridless Channel Estimation for Hybrid mmWave MIMO Systems via Tensor-ESPRIT Algorithms in DFT Beamspace," 2021, IEEE Journal of Selected Topics in Signal Processing
  • "Double-RIS Versus Single-RIS Aided Systems: Tensor-Based Mimo Channel Estimation and Design Perspectives," 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The scientist has collaborated frequently with colleagues including André L. F. de Almeida, Khaled Ardah, Brenda Vilas Boas, Wolfgang Zirwas, and Sepideh Gherekhloo.

Recognition of Martin Haardt's contributions includes being named an IEEE Fellow in 2018 for contributions to multi-user MIMO communications and tensor-based signal processing.

Best Publications

  • Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels

    Q.H. Spencer;A.L. Swindlehurst;M. Haardt

  • An introduction to the multi-user MIMO downlink

    Q.H. Spencer;C.B. Peel;A.L. Swindlehurst;M. Haardt

  • Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden

    M. Haardt;J.A. Nossek

  • Closed-form 2-D angle estimation with rectangular arrays in element space or beamspace via unitary ESPRIT

    M.D. Zoltowski;M. Haardt;C.P. Mathews

  • Higher-Order SVD-Based Subspace Estimation to Improve the Parameter Estimation Accuracy in Multidimensional Harmonic Retrieval Problems

    M. Haardt;F. Roemer;G. Del Galdo

  • Smart antenna technologies for future wireless systems: trends and challenges

    A. Alexiou;M. Haardt

  • Generalized Design of Multi-User MIMO Precoding Matrices

    V. Stankovic;M. Haardt

  • Unitary root-MUSIC with a real-valued eigendecomposition: a theoretical and experimental performance study

    M. Pesavento;A.B. Gershman;M. Haardt

  • Simultaneous Schur decomposition of several nonsymmetric matrices to achieve automatic pairing in multidimensional harmonic retrieval problems

    M. Haardt;J.A. Nossek

  • The TD-CDMA based UTRA TDD mode

    M. Haardt;A. Klein;R. Koehn;S. Oestreich

  • Comparative study of joint-detection techniques for TD-CDMA based mobile radio systems

    M. Vollmer;M. Haardt;J. Gotze

  • Enhancements of unitary ESPRIT for non-circular sources

    M. Haardt;F. Romer

  • TRICE: A Channel Estimation Framework for RIS-Aided Millimeter-Wave MIMO Systems

    Khaled Ardah;Sepideh Gherekhloo;Andre L. F. de Almeida;Martin Haardt

  • Generalized Design of Low-Complexity Block Diagonalization Type Precoding Algorithms for Multiuser MIMO Systems

    Keke Zu;Rodrigo C. de Lamare;Martin Haardt

  • Tensor-Based Channel Estimation and Iterative Refinements for Two-Way Relaying With Multiple Antennas and Spatial Reuse

    Florian Roemer;Martin Haardt

  • Blind Adaptive Constrained Reduced-Rank Parameter Estimation Based on Constant Modulus Design for CDMA Interference Suppression

    R.C. de Lamare;M. Haardt;R. Sampaio-Neto

  • Structured Nyquist Correlation Reconstruction for DOA Estimation With Sparse Arrays

    Unknown

  • 2D unitary ESPRIT for efficient 2D parameter estimation

    M. Haardt;M.D. Zoltowski;C.P. Mathews;J. Nossek

  • Multi-Branch Tomlinson-Harashima Precoding Design for MU-MIMO Systems: Theory and Algorithms

    Keke Zu;Rodrigo C. de Lamare;Martin Haardt

  • Capacity and downlink transmission algorithms for a multi-user MIMO channel

    Q.H. Spencer;M. Haardt

  • Beam forming method

    Christopher Brunner;Martin Haardt;Joachim Hammerschmidt;Alexander Seeger

  • Are LAS-codes a miracle ?

    S. Stanczak;H. Boche;M. Haardt

Frequent Co-Authors

Andre L. F. de Almeida
Andre L. F. de Almeida Universidade Federal do Ceará
Josef A. Nossek
Josef A. Nossek Technical University of Munich
Sergiy A. Vorobyov
Sergiy A. Vorobyov Aalto University
Marius Pesavento
Marius Pesavento Technical University of Darmstadt
Michael D. Zoltowski
Michael D. Zoltowski Purdue University West Lafayette
Eduard A. Jorswieck
Eduard A. Jorswieck Technische Universität Braunschweig
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt
Anja Klein
Anja Klein Technical University of Darmstadt
R.C. de Lamare
R.C. de Lamare Pontifical Catholic University of Rio de Janeiro
Jens Haueisen
Jens Haueisen Ilmenau University of Technology

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