World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
42
Citations
7181
World Ranking
4112
National Ranking
1472

Computer Science

D-Index
43
Citations
7639
World Ranking
7997
National Ranking
3439

Kenneth E. Barner 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 Kenneth E. Barner 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: 229 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Kenneth E. Barner 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 Kenneth E. Barner 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: 42 D-Index — 42nd percentile

42% 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

  • 2016 - IEEE Fellow For contributions in nonlinear signal processing

Overview

Kenneth E. Barner is affiliated with the University of Delaware in the United States. The primary field of study for this researcher is computer science, with a focus on several subfields such as artificial intelligence, computer vision and pattern recognition, radiology, nuclear medicine and imaging, cognitive neuroscience, and education.

The scientist's research work spans multiple topics, including:

  • Adversarial Robustness in Machine Learning
  • Autism Spectrum Disorder Research
  • Child Development and Digital Technology
  • AI in Cancer Detection
  • Medical Image Segmentation Techniques
  • Anomaly Detection Techniques and Applications
  • Assistive Technology in Communication and Mobility

Kenneth E. Barner has contributed to several recent papers, including:

  • "MMASD: A Multimodal Dataset for Autism Intervention Analysis" (2023), published in the INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
  • "Audio-video Emotion Recognition in the Wild using Deep Hybrid Networks" (2020), published on arXiv (Cornell University)
  • "Conformal prediction based active learning by linear regression optimization" (2020), published in Neurocomputing
  • "Detection of intra-beat waves on ambulatory ECG using manifolds: An explainable deep learning approach" (2025), published in Biomedical Signal Processing and Control
  • "D-DDPM: Deep Denoising Diffusion Probabilistic Models for Lesion Segmentation and Data Generation in Ultrasound Imaging" (2025), published in IEEE Access

The frequent collaborators in this researcher's work include:

  • Samet Bayram (5 collaborations)
  • Abdalrahman Alblwi (4 collaborations)
  • Vuthea Chheang (3 collaborations)
  • Anjana Bhat (3 collaborations)
  • Carmen Plaza-Seco (3 collaborations)

Publication venues where Kenneth E. Barner has frequently contributed are:

  • arXiv (Cornell University) - 8 publications
  • IEEE Access - 2 publications
  • INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION - 1 publication
  • Biomedical Signal Processing and Control - 1 publication
  • Neurocomputing - 1 publication

Kenneth E. Barner received the IEEE Fellow award in 2016 for contributions in nonlinear signal processing.

Best Publications

  • ECG signal denoising and baseline wander correction based on the empirical mode decomposition

    Manuel Blanco-Velasco;Binwei Weng;Kenneth E. Barner

  • A novel application of deep learning for single-lead ECG classification.

    Sherin M. Mathews;Sherin M. Mathews;Chandra Kambhamettu;Kenneth E. Barner

  • Rank conditioned rank selection filters for signal restoration

    R.C. Hardie;K.E. Barner

  • Automatic visual to tactile translation. I. Human factors, access methods and image manipulation

    T.P. Way;K.E. Barner

  • Compressed sensing based method for ECG compression

    Luisa F. Polania;Rafael E. Carrillo;Manuel Blanco-Velasco;Kenneth E. Barner

  • Design of a haptic data visualization system for people with visual impairments

    J.P. Fritz;K.E. Barner

  • Fuzzy vector median-based surface smoothing

    Yuzhong Shen;K.E. Barner

  • Rayleigh-Maximum-Likelihood Filtering for Speckle Reduction of Ultrasound Images

    T.C. Aysal;K.E. Barner

  • Robust Sampling and Reconstruction Methods for Sparse Signals in the Presence of Impulsive Noise

    R.E. Carrillo;K.E. Barner;T.C. Aysal

  • ECG denoising based on the empirical mode decomposition.

    Binwei Weng;Manuel Blanco-Velasco;Kenneth E. Barner

  • Nonlinear system identification in impulsive environments

    Binwei Weng;K.E. Barner

  • Exploiting Prior Knowledge in Compressed Sensing Wireless ECG Systems

    Luisa F. Polania;Rafael E. Carrillo;Manuel Blanco-Velasco;Kenneth E. Barner

  • Sensor Data Cryptography in Wireless Sensor Networks

    T.C. Aysal;K.E. Barner

  • Constrained Decentralized Estimation Over Noisy Channels for Sensor Networks

    T.C. Aysal;K.E. Barner

  • Nonlinear Signal and Image Processing: Theory, Methods, and Applications

    Kenneth Barner;Gonzalo R. Arce

  • Tremor suppression through impedance control

    S. Pledgie;K.E. Barner;S.K. Agrawal;T. Rahman

  • Automatic visual to tactile translation. II. Evaluation of the TACTile image creation system

    T.P. Way;K.E. Barner

  • Classification of Histology Sections via Multispectral Convolutional Sparse Coding

    Yin Zhou;Hang Chang;Kenneth Barner;Paul Spellman

  • ECG compression with retrieved quality guaranteed

    M. Blanco-Velasco;F. Cruz-Roldan;J.I. Godino-Llorente;K.E. Barner

  • Meridian Filtering for Robust Signal Processing

    T.C. Aysal;K.E. Barner

  • Exploiting Prior Knowledge in Compressed Sensing Exploiting Prior Knowledge in Compressed Sensing Wireless ECG Systems

    Luisa F. Polania;Rafael E. Carrillo;Manuel Blanco-Velasco;Kenneth E. Barner

Frequent Co-Authors

Gonzalo R. Arce
Gonzalo R. Arce University of Delaware
Russell C. Hardie
Russell C. Hardie University of Dayton
Juan Ignacio Godino-Llorente
Juan Ignacio Godino-Llorente Technical University of Madrid
Jingyi Yu
Jingyi Yu ShanghaiTech University
Chandra Kambhamettu
Chandra Kambhamettu University of Delaware
Guang R. Gao
Guang R. Gao University of Delaware
Keith W. Goossen
Keith W. Goossen University of Delaware
Paul T. Spellman
Paul T. Spellman Oregon Health & Science University
Brian M. Sadler
Brian M. Sadler United States Army Research Laboratory
Eric Wickstrom
Eric Wickstrom Thomas Jefferson University

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Related Online Degrees & Career Pathways

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