World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
48
Citations
9955
World Ranking
3054
National Ranking
90

Computer Science

D-Index
49
Citations
9996
World Ranking
5869
National Ranking
274

Walter Kellermann 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 Walter Kellermann 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: 408 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Walter Kellermann 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 Walter Kellermann 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: 48 D-Index — 56th percentile

56% 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

  • 2008 - IEEE Fellow For contributions to adaptive filtering and multi-channel acoustic signal processing

Overview

Walter Kellermann is affiliated with the University of Erlangen-Nuremberg in Germany. Their research primarily spans the fields of Computer Science and Engineering with a focus on Signal Processing, Computational Mechanics, and Artificial Intelligence. Additional areas of study include Biomedical Engineering and Civil and Structural Engineering.

The scientist's research topics prominently cover Speech and Audio Processing, Advanced Adaptive Filtering Techniques, Blind Source Separation Techniques, Music and Audio Processing, Acoustic Wave Phenomena Research, Structural Health Monitoring Techniques, and Speech Recognition and Synthesis.

Recent publications include:

  • A Unified Probabilistic View on Spatially Informed Source Separation and Extraction Based on Independent Vector Analysis, 2020, IEEE Transactions on Signal Processing
  • Robust Dereverberation With Kronecker Product Based Multichannel Linear Prediction, 2020, IEEE Signal Processing Letters
  • Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years, 2023, IEEE Signal Processing Magazine
  • Acoustic Self-Awareness of Autonomous Systems in a World of Sounds, 2020, Proceedings of the IEEE
  • Complex-Valued Spatial Autoencoders for Multichannel Speech Enhancement, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Frequent coauthors of Walter Kellermann include:

  • Andreas Brendel
  • Thomas Haubner
  • Mhd Modar Halimeh
  • Sharon Gannot
  • Patrick A. Naylor

Walter Kellermann has published frequently in venues such as:

  • arXiv (Cornell University)
  • IEEE Signal Processing Magazine
  • EURASIP Journal on Audio Speech and Music Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • IEEE/ACM Transactions on Audio Speech and Language Processing

In 2008, Walter Kellermann was recognized as an IEEE Fellow for contributions to adaptive filtering and multi-channel acoustic signal processing.

Best Publications

  • The reverb challenge: Acommon evaluation framework for dereverberation and recognition of reverberant speech

    Keisuke Kinoshita;Marc Delcroix;Takuya Yoshioka;Tomohiro Nakatani

  • A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research

    Keisuke Kinoshita;Marc Delcroix;Sharon Gannot;Emanuël A. P. Habets

  • A generalization of blind source separation algorithms for convolutive mixtures based on second-order statistics

    H. Buchner;R. Aichner;W. Kellermann

  • Making Machines Understand Us in Reverberant Rooms: Robustness Against Reverberation for Automatic Speech Recognition

    Takuya Yoshioka;A. Sehr;M. Delcroix;K. Kinoshita

  • Analysis and design of multirate systems for cancellation of acoustical echoes

    W. Kellermann

  • Multichannel Signal Enhancement Algorithms for Assisted Listening Devices: Exploiting spatial diversity using multiple microphones

    Simon Doclo;Walter Kellermann;Shoji Makino;Sven Erik Nordholm

  • Acoustic source detection and localization based on wavefield decomposition using circular microphone arrays

    Heinz Teutsch;Walter Kellermann

  • A self-steering digital microphone array

    W. Kellermann

  • Adaptation of a memoryless preprocessor for nonlinear acoustic echo cancelling

    Alexander Stenger;Walter Kellermann

  • TRINICON: a versatile framework for multichannel blind signal processing

    H. Buchner;R. Aichner;W. Kellermann

  • Coherent-to-diffuse power ratio estimation for dereverberation

    Andreas Schwarz;Walter Kellermann

  • Design of robust superdirective beamformers as a convex optimization problem

    Edwin Mabande;Adrian Schad;Walter Kellermann

  • Adaptive Combination of Volterra Kernels and Its Application to Nonlinear Acoustic Echo Cancellation

    Luis Antonio Azpicueta-Ruiz;Marcus Zeller;Aníbal Ramón Figueiras-Vidal;Jerónimo Arenas-Garcia

  • Map-based underdetermined blind source separation of convolutive mixtures by hierarchical clustering and l 1 -norm minimization

    Stefan Winter;Walter Kellermann;Hiroshi Sawada;Shoji Makino

  • Blind Source Separation for Convolutive Mixtures: A Unified Treatment

    Herbert Buchner;Robert Aichner;Walter Kellermann

  • Strategies for combining acoustic echo cancellation and adaptive beamforming microphone arrays

    W. Kellermann

  • A real-time blind source separation scheme and its application to reverberant and noisy acoustic environments

    Robert Aichner;Herbert Buchner;Fei Yan;Walter Kellermann

  • The LOCATA Challenge: Acoustic Source Localization and Tracking

    Christine Evers;Heinrich W. Lollmann;Heinrich Mellmann;Alexander Schmidt

  • TDOA Estimation for Multiple Sound Sources in Noisy and Reverberant Environments Using Broadband Independent Component Analysis

    A Lombard;Yuanhang Zheng;H Buchner;W Kellermann

  • Mobile radio set comprising a speech processing arrangement

    Walter Kellermann

  • The LOCATA Challenge: Acoustic Source Localization and Tracking.

    Christine Evers;Heinrich Loellmann;Heinrich Mellmann;Alexander Schmidt

Frequent Co-Authors

Sharon Gannot
Sharon Gannot Bar-Ilan University
Patrick A. Naylor
Patrick A. Naylor Imperial College London
Marc Delcroix
Marc Delcroix NTT (Japan)
Shoji Makino
Shoji Makino Waseda University
Takuya Yoshioka
Takuya Yoshioka Microsoft (United States)
Jacob Benesty
Jacob Benesty Institut National de la Recherche Scientifique
Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Sven Nordholm
Sven Nordholm Curtin University

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