World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
7423
World Ranking
7252
National Ranking
246

Emanuel A. P. Habets publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Emanuel A. P. Habets sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 352 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Emanuel A. P. Habets D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Emanuel A. P. Habets sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 40 D-Index — 27th percentile

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

The last bar groups every scientist with 107 D-Index or more.

Overview

Emanuel A. P. Habets is affiliated with the University of Erlangen-Nuremberg in Germany. Their research primarily spans the field of Computer Science with a strong emphasis on Signal Processing, encompassing 97 publications within this subfield. Additional areas of study include Artificial Intelligence, Cognitive Neuroscience, Biomedical Engineering, and Computer Vision and Pattern Recognition.

The scientist's scholarly output focuses predominantly on topics such as Speech and Audio Processing, Music and Audio Processing, and Speech Recognition and Synthesis. Other notable themes in their work are Hearing Loss and Rehabilitation, Acoustic Wave Phenomena Research, Advanced Adaptive Filtering Techniques, and Underwater Acoustics Research.

Habets has contributed to numerous research articles published in a variety of venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • The Journal of the Acoustical Society of America
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Applied Acoustics

Recent papers authored or co-authored by Habets encompass the following titles:

  • "Spatial audio signal processing for binaural reproduction of recorded acoustic scenes - review and challenges," 2022, Acta Acustica
  • "Quality of Experience in Telemeetings and Videoconferencing: A Comprehensive Survey," 2022, IEEE Access
  • "TDOA-Based Robust Sound Source Localization With Sparse Regularization in Wireless Acoustic Sensor Networks," 2022, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Direction and Reverberation Preserving Noise Reduction of Ambisonics Signals," 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Online reverberation time and clarity estimation in dynamic acoustic conditions," 2023, The Journal of the Acoustical Society of America

Collaborations are an integral part of Habets's research, with frequent coauthors including Çağdaş Tuna, Andreas Walther, Srikanth Raj Chetupalli, Albert G. Prinn, and Wolfgang Mack. These partnerships have contributed to a substantial body of work advancing the understanding and application of audio and speech processing technologies.

Best Publications

  • 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

  • Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained With Noise Signals

    Soumitro Chakrabarty;Emanuel A. P. Habets

  • Broadband doa estimation using convolutional neural networks trained with noise signals

    Soumitro Chakrabarty;Emanuel A. P. Habets

  • Generating sensor signals in isotropic noise fields.

    Emanuël A. P. Habets;Sharon Gannot

  • Late Reverberant Spectral Variance Estimation Based on a Statistical Model

    E.A.P. Habets;S. Gannot;I. Cohen

  • New Insights Into the MVDR Beamformer in Room Acoustics

    E. Habets;J. Benesty;I. Cohen;S. Gannot

  • Generating nonstationary multisensor signals under a spatial coherence constraint.

    Emanuël A. P. Habets;Israel Cohen;Sharon Gannot

  • Inference of Room Geometry From Acoustic Impulse Responses

    F. Antonacci;J. Filos;M. R. P. Thomas;E. A. P. Habets

  • Theory and Applications of Spherical Microphone Array Processing

    Daniel P. Jarrett;Emanuël A.P. Habets;Patrick A. Naylor

  • Rigid sphere room impulse response simulation: algorithm and applications.

    D. P. Jarrett;E. A. P. Habets;M. R. P. Thomas;P. A. Naylor

  • Deep Filtering: Signal Extraction and Reconstruction Using Complex Time-Frequency Filters

    Wolfgang Mack;Emanuel A. P. Habets

  • Blind estimation of reverberation time based on the distribution of signal decay rates

    J.Y.C. Wen;E.A.P. Habets;P.A. Naylor

  • MMSE-Based Blind Source Extraction in Diffuse Noise Fields Using a Complex Coherence-Based a Priori SAP Estimator

    Maja Taseska;Emanuel A. P. Habets

  • 3D source localization in the spherical harmonic domain using a pseudointensity vector

    Daniel P. Jarrett;Emanuel A. P. Habets;Patrick A. Naylor

  • Multi-microphone speech dereverberation and noise reduction using relative early transfer functions

    Ofer Schwartz;Sharon Gannot;Emanuel A. P. Habets

  • Online speech dereverberation using kalman filter and EM algorithm

    Boaz Schwartz;Sharon Gannot;Emanuel A. P. Habets

  • Multi-channel speech dereverberation based on a statistical model of late reverberation

    E.A.P. Habets

  • An informed parametric spatial filter based on instantaneous direction-of-arrival estimates

    Oliver Thiergart;Maja Taseska;Emanuël A. P. Habets

  • A Two-Stage Beamforming Approach for Noise Reduction and Dereverberation

    E. A. P. Habets;J. Benesty

  • Joint Dereverberation and Residual Echo Suppression of Speech Signals in Noisy Environments

    E.A.P. Habets;S. Gannot;I. Cohen;P. Sommen

  • Time–Frequency Masking Based Online Multi-Channel Speech Enhancement With Convolutional Recurrent Neural Networks

    Soumitro Chakrabarty;Emanuel A. P. Habets

  • Geometry-Based Spatial Sound Acquisition Using Distributed Microphone Arrays

    Oliver Thiergart;Giovanni Del Galdo;Maja Taseska;Emanuel A. P. Habets

  • Deep Filtering: Signal Extraction Using Complex Time-Frequency Filters.

    Wolfgang Mack;Emanuël A. P. Habets

Frequent Co-Authors

Sharon Gannot
Sharon Gannot Bar-Ilan University
Patrick A. Naylor
Patrick A. Naylor Imperial College London
Jacob Benesty
Jacob Benesty Institut National de la Recherche Scientifique
Israel Cohen
Israel Cohen Technion – Israel Institute of Technology
Augusto Sarti
Augusto Sarti Polytechnic University of Milan
Simon Doclo
Simon Doclo Carl von Ossietzky University of Oldenburg
Walter Kellermann
Walter Kellermann University of Erlangen-Nuremberg
Meinard Müller
Meinard Müller University of Erlangen-Nuremberg
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn
Ramani Duraiswami
Ramani Duraiswami University of Maryland, College Park

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