World's Best Scientists 2026 revealed!
Jesper Jensen

Jesper Jensen

D-Index & Metrics

Computer Science

D-Index
43
Citations
12486
World Ranking
7787
National Ranking
33

Jesper Jensen publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jesper Jensen sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 343 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Jesper Jensen D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jesper Jensen sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Jesper Jensen is affiliated with Aalborg University in Denmark and has contributed extensively to research in the fields of Computer Science and Engineering. Their primary research interests lie within Signal Processing, with significant focus on Speech and Audio Processing and Advanced Adaptive Filtering Techniques.

Their work spans several specialized subfields, including Computational Mechanics, Electrical and Electronic Engineering, Artificial Intelligence, and Aerospace Engineering. Jesper Jensen's research topics include:

  • Speech and Audio Processing
  • Advanced Adaptive Filtering Techniques
  • Indoor and Outdoor Localization Technologies
  • Blind Source Separation Techniques
  • Speech Recognition and Synthesis
  • Robotics and Sensor-Based Localization
  • Underwater Acoustics Research

Jesper Jensen has published frequently in various academic venues. Noteworthy publication venues include:

  • arXiv (Cornell University)
  • EURASIP Journal on Audio Speech and Music Processing
  • Signal Processing
  • Applied Acoustics
  • IEEE Transactions on Audio Speech and Language Processing

Recent publications reflect contributions mainly to audio and acoustic signal processing. Selected papers include:

  • "Acoustic DOA estimation using space alternating sparse Bayesian learning," 2021, EURASIP Journal on Audio Speech and Music Processing
  • "A framework for spatial map generation using acoustic echoes for robotic platforms," 2022, Robotics and Autonomous Systems
  • "Estimation of acoustic echoes using expectation-maximization methods," 2020, EURASIP Journal on Audio Speech and Music Processing
  • "Experimental study of robust acoustic beamforming for speech acquisition in reverberant and noisy environments," 2020, Applied Acoustics
  • "Recursive least-squares algorithm based on a third-order tensor decomposition for low-rank system identification," 2023, Signal Processing

Jesper Jensen has collaborated frequently with several co-authors, including:

  • Mads Græsbøll Christensen
  • Usama Saqib
  • Sankha Subhra Bhattacharjee
  • Shuai Tao
  • Jacob Benesty

Their body of work emphasizes techniques in acoustic signal estimation, adaptive filtering algorithms, and spatial localization, applicable in various environments including robotics and noisy or reverberant spaces.

Best Publications

  • An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech

    C. H. Taal;R. C. Hendriks;R. Heusdens;J. Jensen

  • A short-time objective intelligibility measure for time-frequency weighted noisy speech

    Cees H. Taal;Richard C. Hendriks;Richard Heusdens;Jesper Jensen

  • Permutation invariant training of deep models for speaker-independent multi-talker speech separation

    Dong Yu;Morten Kolbaek;Zheng-Hua Tan;Jesper Jensen

  • Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks

    Morten Kolbaek;Dong Yu;Zheng-Hua Tan;Jesper Jensen

  • An Algorithm for Predicting the Intelligibility of Speech Masked by Modulated Noise Maskers

    Jesper Jensen;Cees H. Taal

  • MMSE based noise PSD tracking with low complexity

    Richard C. Hendriks;Richard Heusdens;Jesper Jensen

  • Minimum Mean-Square Error Estimation of Discrete Fourier Coefficients With Generalized Gamma Priors

    J.S. Erkelens;R.C. Hendriks;R.. Heusdens;J.. Jensen

  • An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation

    Daniel Michelsanti;Zheng-Hua Tan;Shi-Xiong Zhang;Yong Xu

  • Speech Intelligibility Potential of General and Specialized Deep Neural Network Based Speech Enhancement Systems

    Morten Kolbk;Zheng-Hua Tan;Jesper Jensen

  • Prediction of future fading based on past measurements

    J.B. Andersen;J. Jensen;S.H. Jensen;F. Frederiksen

  • DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement: A Survey of the State of the Art

    Richard C. Hendriks;Timo Gerkmann;Jesper Jensen

  • Speech enhancement using a constrained iterative sinusoidal model

    J. Jensen;J.H.L. Hansen

  • On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement

    Morten Kolbaek;Zheng-Hua Tan;Soren Holdt Jensen;Jesper Jensen

  • Novel Acoustic Feedback Cancellation Approaches in Hearing Aid Applications Using Probe Noise and Probe Noise Enhancement

    Meng Guo;S. H. Jensen;J. Jensen

  • Noise Tracking Using DFT Domain Subspace Decompositions

    R.C. Hendriks;J. Jensen;R. Heusdens

  • Self-calibration of multi-microphone noise reduction system for hearing assistance devices using an auxiliary device

    Jesper Jensen;Michael Syskind Pedersen

  • On Optimal Linear Filtering of Speech for Near-End Listening Enhancement

    C. H. Taal;J. Jensen;A. Leijon

  • A perceptual model for sinusoidal audio coding based on spectral integration

    Steven van de Par;Armin Kohlrausch;Richard Heusdens;Jesper Jensen

  • A data-driven approach to optimizing spectral speech enhancement methods for various error criteria

    Jan Erkelens;Jesper Jensen;Richard Heusdens

  • An evaluation of objective measures for intelligibility prediction of time-frequency weighted noisy speech.

    Cees H. Taal;Richard C. Hendriks;Richard Heusdens;Jesper Jensen

  • Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks

    Morten Kolbæk;Dong Yu;Zheng-Hua Tan;Jesper Jensen

Frequent Co-Authors

Zheng-Hua Tan
Zheng-Hua Tan Aalborg University
Søren Holdt Jensen
Søren Holdt Jensen University of Extremadura
Jacob Benesty
Jacob Benesty Institut National de la Recherche Scientifique
Max A. Little
Max A. Little University of Birmingham
Dong Yu
Dong Yu Tencent (China)
Simon Doclo
Simon Doclo Carl von Ossietzky University of Oldenburg
Claus Nielsen
Claus Nielsen Natural History Museum
Andreas Jakobsson
Andreas Jakobsson Lund University
Sharon Gannot
Sharon Gannot Bar-Ilan University

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