World's Best Scientists 2026 revealed!
Helmut Bölcskei

Helmut Bölcskei

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Computer Science
Switzerland
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
62
Citations
23697
World Ranking
1405
National Ranking
34

Computer Science

D-Index
62
Citations
24124
World Ranking
2835
National Ranking
64

Helmut Bölcskei 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 Helmut Bölcskei 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: 192 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Helmut Bölcskei 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 Helmut Bölcskei 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: 62 D-Index — 80th percentile

80% 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

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Helmut Bölcskei is affiliated with ETH Zurich in Switzerland and has an extensive publication record in computer science, engineering, and mathematics. Their research contributions span several subfields including computer vision and pattern recognition, artificial intelligence, computational theory and mathematics, control and systems engineering, and applied mathematics.

The researcher's main topics of work include:

  • Neural Networks and Applications
  • Control Systems and Identification
  • Model Reduction and Neural Networks
  • Mathematical Analysis and Transform Methods
  • Image and Signal Denoising Methods
  • Sparse and Compressive Sensing Techniques
  • Spectral Theory in Mathematical Physics

Recent publications by Helmut Bölcskei include:

  • Deep Neural Network Approximation Theory (2021), IEEE Transactions on Information Theory
  • Deep Neural Network Approximation Theory (2021), Repository for Publications and Research Data (ETH Zurich)
  • Neural Network Identifiability for a Family of Sigmoidal Nonlinearities (2021), Constructive Approximation
  • Affine symmetries and neural network identifiability (2020), Advances in Mathematics
  • Metric entropy limits on recurrent neural network learning of linear dynamical systems (2021), Applied and Computational Harmonic Analysis

The frequent coauthors collaborating with Bölcskei are:

  • Thomas Allard
  • Dmytro Perekrestenko
  • Verner Vlačić
  • Clemens Hutter
  • Recep Gül

Publication venues where their work frequently appears include:

  • arXiv (Cornell University), with 14 publications
  • IEEE Transactions on Information Theory, with 2 publications
  • Repository for Publications and Research Data (ETH Zurich), with 2 publications
  • Applied and Computational Harmonic Analysis, with 2 publications
  • Constructive Approximation, with 1 publication

Best Publications

  • An overview of MIMO communications - a key to gigabit wireless

    A.J. Paulraj;D.A. Gore;R.U. Nabar;H. Bolcskei

  • Fading relay channels: performance limits and space-time signal design

    R.U. Nabar;H. Bolcskei;F.W. Kneubuhler

  • Block-Sparse Signals: Uncertainty Relations and Efficient Recovery

    Yonina C Eldar;Patrick Kuppinger;Helmut Bolcskei

  • On the capacity of OFDM-based spatial multiplexing systems

    H. Bolcskei;D. Gesbert;A.J. Paulraj

  • Outdoor MIMO wireless channels: models and performance prediction

    D. Gesbert;H. Bolcskei;D.A. Gore;A.J. Paulraj

  • Capacity scaling laws in MIMO relay networks

    H. Bolcskei;R.U. Nabar;O. Oyman;A.J. Paulraj

  • VLSI implementation of MIMO detection using the sphere decoding algorithm

    A. Burg;M. Borgmann;M. Wenk;M. Zellweger

  • Space-frequency coded broadband OFDM systems

    H. Bolcskei;A.J. Paulraj

  • MIMO-OFDM wireless systems: basics, perspectives, and challenges

    H. Bolcskei

  • Blind estimation of symbol timing and carrier frequency offset in wireless OFDM systems

    H. Bolcskei

  • Frame-theoretic analysis of oversampled filter banks

    H. Bolcskei;F. Hlawatsch;H.G. Feichtinger

  • Soft-output sphere decoding: algorithms and VLSI implementation

    C. Studer;A. Burg;H. Bolcskei

  • A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction

    Thomas Wiatowski;Helmut Bolcskei

  • MIMO wireless channels: capacity and performance prediction

    D. Gesbert;H. Bolcskei;D. Gore;A. Paulraj

  • Performance of multiantenna signaling techniques in the presence of polarization diversity

    R.U. Nabar;H. Bolcskei;V. Erceg;D. Gesbert

  • Impact of the propagation environment on the performance of space-frequency coded MIMO-OFDM

    H. Bolcskei;M. Borgmann;A.J. Paulraj

  • Space-Time Wireless Systems: From Array Processing to MIMO Communications

    H. Bölcskei;D. Gesbert;C. B. Papadias;A.-J. van der Veen

  • Interference alignment with limited feedback

    Jatin Thukral;Helmut Bolcskei

  • Characterizing the statistical properties of mutual information in MIMO channels

    O. Oyman;R.U. Nabar;H. Bolcskei;A.J. Paulraj

  • Soft–Input Soft–Output Single Tree-Search Sphere Decoding

    Christoph Studer;Helmut Bölcskei

Frequent Co-Authors

Arogyaswami Paulraj
Arogyaswami Paulraj Stanford University
Giuseppe Durisi
Giuseppe Durisi Chalmers University of Technology
Rohit U. Nabar
Rohit U. Nabar Marvell (United States)
Philipp Grohs
Philipp Grohs University of Vienna
Constantinos B. Papadias
Constantinos B. Papadias American College of Greece
Andreas Burg
Andreas Burg École Polytechnique Fédérale de Lausanne
Shlomo Shamai
Shlomo Shamai Technion – Israel Institute of Technology

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