World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
13883
World Ranking
5679
National Ranking
1583

Kenneth Kreutz-Delgado 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 Kenneth Kreutz-Delgado 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: 143 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Kenneth Kreutz-Delgado 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 Kenneth Kreutz-Delgado 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: 44 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2013 - IEEE Fellow For contributions to sparse signal recovery algorithms and dictionary learning

Overview

Kenneth Kreutz-Delgado is affiliated with the University of California, San Diego in the United States. Their research spans across multiple domains within computer science and neuroscience, with a focus on neural dynamics, brain function, and advanced computational techniques.

The scientist has contributed to several prominent fields of study, including:

  • Computer Science
  • Neuroscience

Within these fields, their work delves into subfields such as:

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Computational Mechanics

The main topics covered by their publications include:

  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Neural Networks and Applications
  • Blind Source Separation Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Neural Network Applications

Kenneth Kreutz-Delgado has authored a number of papers in respected venues. Selected recent publications are:

  • The open EEGLAB portal Interface: High-Performance computing with EEGLAB, 2020, NeuroImage
  • Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors, 2021, Neural Computation
  • What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals?, 2020, Entropy
  • A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications?, 2021, arXiv (Cornell University)
  • Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations, 2021, arXiv (Cornell University)

Their frequent co-authors include:

  • Srinjoy Das
  • Ramón Martínez-Cancino
  • Arnaud Delorme
  • Scott Makeig
  • Ian Colbert

Kenneth Kreutz-Delgado has frequently published in these venues:

  • arXiv (Cornell University)
  • NeuroImage
  • Neural Computation
  • Entropy
  • Preprints.org

Among their recognitions, Kenneth Kreutz-Delgado is an IEEE Fellow since 2013, awarded for contributions to sparse signal recovery algorithms and dictionary learning.

Best Publications

  • ICLabel: An automated electroencephalographic independent component classifier, dataset, and website.

    Luca Pion-Tonachini;Kenneth Kreutz-Delgado;Scott Makeig

  • Sparse solutions to linear inverse problems with multiple measurement vectors

    S.F. Cotter;B.D. Rao;Kjersti Engan;K. Kreutz-Delgado

  • The attitude control problem

    J.T.-Y. Wen;K. Kreutz-Delgado

  • Dictionary learning algorithms for sparse representation

    Kenneth Kreutz-Delgado;Joseph F. Murray;Bhaskar D. Rao;Kjersti Engan

  • An affine scaling methodology for best basis selection

    B.D. Rao;K. Kreutz-Delgado

  • The Complex Gradient Operator and the CR-Calculus

    Ken Kreutz-Delgado

  • Subset selection in noise based on diversity measure minimization

    B.D. Rao;K. Engan;S.F. Cotter;J. Palmer

  • Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application

    Joseph F. Murray;Gordon F. Hughes;Kenneth Kreutz-Delgado

  • A spatial operator algebra for manipulator modeling and control

    G. Rodriguez;K. Kreutz-Delgado;A. Jain

  • A grid algorithm for autonomous star identification

    C. Padgett;K. Kreutz-Delgado

  • Improved disk-drive failure warnings

    G.F. Hughes;J.F. Murray;K. Kreutz-Delgado;C. Elkan

  • Newton method for the ICA mixture model

    J.A. Palmer;S. Makeig;K.K. Delgado;B.D. Rao

  • Event-driven contrastive divergence for spiking neuromorphic systems

    Emre Neftci;Srinjoy Das;Bruno U. Pedroni;Kenneth Kreutz-Delgado

  • Variational EM Algorithms for Non-Gaussian Latent Variable Models

    Jason Palmer;Kenneth Kreutz-Delgado;Bhaskar D. Rao;David P. Wipf

  • Evolving Signal Processing for Brain–Computer Interfaces

    S. Makeig;C. Kothe;T. Mullen;N. Bigdely-Shamlo

  • Motion and force control of multiple robotic manipulators

    John T. Wen;Kenneth Kreutz-Delgado

  • Kinematic analysis of 7-DOF manipulators

    Kenneth Kreutz-Delgado;Mark Long;Homayoun Seraji

  • Spatial Operator Algebra for multibody system dynamics

    G. Rodriguez;A. Jain;K. Kreutz-Delgado

  • Evaluation of Star Identification Techniques

    Curtis Padgett;Kenneth Kreutz-Delgado;Suraphol Udomkesmalee

  • Super-Gaussian mixture source model for ICA

    Jason A. Palmer;Kenneth Kreutz-Delgado;Scott Makeig

Frequent Co-Authors

Scott Makeig
Scott Makeig University of California, San Diego
Bhaskar D. Rao
Bhaskar D. Rao University of California, San Diego
Gert Cauwenberghs
Gert Cauwenberghs University of California, San Diego
Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Arnaud Delorme
Arnaud Delorme University of California, San Diego
Dharmendra S. Modha
Dharmendra S. Modha IBM (United States)
David Wipf
David Wipf Amazon (United States)
Martin I. Sereno
Martin I. Sereno San Diego State University
Homayoun Seraji
Homayoun Seraji California Institute of Technology
John T. Wen
John T. Wen Rensselaer Polytechnic Institute

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