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Electronics and Electrical Engineering
Netherlands
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
71
Citations
20194
World Ranking
858
National Ranking
5

Johan Schoukens 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 Johan Schoukens 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: 771 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Johan Schoukens 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 Johan Schoukens 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: 71 D-Index — 88th percentile

88% 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

  • 2026 - Research.com Electronics and Electrical Engineering in Netherlands Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Netherlands Leader Award

Overview

Johan Schoukens is affiliated with Eindhoven University of Technology in the Netherlands. Their research work is primarily situated within the field of engineering, focusing heavily on control and systems engineering.

Their main subfields of study include:

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Statistical and Nonlinear Physics
  • Electrical and Electronic Engineering

Johan Schoukens's research topics emphasize areas such as:

  • Control Systems and Identification
  • Structural Health Monitoring Techniques
  • Fault Detection and Control Systems
  • Model Reduction and Neural Networks
  • Tensor Decomposition and Applications
  • Advanced Adaptive Filtering Techniques
  • Wind and Air Flow Studies

The recent papers authored or co-authored by Johan Schoukens include:

  • Real-time feedback control of the impurity emission front in tokamak divertor plasmas, 2021, Nature Communications
  • Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling, 2020, Mechanical Systems and Signal Processing
  • User-friendly nonlinear nonparametric estimation framework for vibro-acoustic industrial measurements with multiple inputs, 2020, Mechanical Systems and Signal Processing
  • A data-driven nonlinear state-space model of the unsteady lift force on a pitching wing, 2022, Journal of Fluids and Structures
  • Low-Complexity Electrochemical-Impedance Spectroscopy for Battery Monitoring, 2022, IEEE Transactions on Instrumentation and Measurement

Johan Schoukens frequently publishes in the following venues:

  • IFAC-PapersOnLine
  • Mechanical Systems and Signal Processing
  • IEEE Transactions on Instrumentation and Measurement
  • arXiv (Cornell University)
  • Journal of Fluids and Structures

The scientist collaborates often with several co-authors, including:

  • Jan Decuyper
  • Mark Runacres
  • Koen Tiels
  • Tim De Troyer
  • Péter Zoltán Csurcsia

Best Publications

  • System Identification: A Frequency Domain Approach

    Rik Pintelon;Joannes Schoukens

  • Parametric identification of transfer functions in the frequency domain-a survey

    R. Pintelon;P. Guillaume;Y. Rolain;J. Schoukens

  • Identification of Linear Systems: A Practical Guideline to Accurate Modeling

    J. Schoukens;R. Pintelon

  • The interpolated fast Fourier transform: a comparative study

    J. Schoukens;R. Pintelon;H. Van Hamme

  • Identification of nonlinear systems using Polynomial Nonlinear State Space models

    Johan Paduart;Lieve Lauwers;Jan Swevers;Kris Smolders

  • Crest-factor minimization using nonlinear Chebyshev approximation methods

    P. Guillaume;J. Schoukens;R. Pintelon;I. Kollar

  • Parametric and nonparametric identification of linear systems in the presence of nonlinear distortions-a frequency domain approach

    J. Schoukens;T. Dobrowiecki;R. Pintelon

  • Peak factor minimization using a time-frequency domain swapping algorithm

    E. Van der Ouderaa;J. Schoukens;J. Renneboog

  • Identification of linear systems with nonlinear distortions

    J. Schoukens;R. Pintelon;T. Dobrowiecki;Y. Rolain

  • Estimation of nonparametric noise and FRF models for multivariable systems—Part I: Theory

    Rik Pintelon;Joannes Schoukens;Gerd Vandersteen;Kurt Barbé

  • An improved sine-wave fitting procedure for characterizing data acquisition channels

    R. Pintelon;J. Schoukens

  • Uncertainty calculation in (operational) modal analysis

    Rik Pintelon;Patrick Guillaume;Joannes Schoukens

  • Frequency domain system identification using arbitrary signals

    R. Pintelon;J. Schoukens;G. Vandersteen

  • Modeling the noise influence on the Fourier coefficients after a discrete Fourier transform

    J. Schoukens;J. Renneboog

  • Frequency-domain system identification using non-parametric noise models estimated from a small number of data sets

    J. Schoukens;R. Pintelon;G. Vandersteen;P. Guillaume

  • Brief Fast approximate identification of nonlinear systems

    J. Schoukens;J. G. Nemeth;P. Crama;Y. Rolain

  • Electrochemical impedance spectroscopy in the presence of non-linear distortions and non-stationary behaviour

    E. Van Gheem;R. Pintelon;A. Hubin;J. Schoukens

  • Dynamic testing and diagnostics of A/D converters

    M. Bossche;J. Schoukens;J. Renneboog

  • Peak factor minimization of input and output signals of linear systems

    E. Van der Ouderaa;J. Schoukens;J. Renneboog

  • Welch Method Revisited: Nonparametric Power Spectrum Estimation Via Circular Overlap

    K. Barbe;R. Pintelon;J. Schoukens

  • High-Accuracy Spectrum Analysis of Sampled Discrete Frequency Signals by Analytical Leakage Compensation

    H. Renders;J. Schoukens;G. Vilain

Frequent Co-Authors

Rik Pintelon
Rik Pintelon Vrije Universiteit Brussel
Yves Rolain
Yves Rolain Vrije Universiteit Brussel
Gerd Vandersteen
Gerd Vandersteen Vrije Universiteit Brussel
Patrick Guillaume
Patrick Guillaume Vrije Universiteit Brussel
Frank Dehairs
Frank Dehairs Vrije Universiteit Brussel
Jan Swevers
Jan Swevers KU Leuven
Moritz Diehl
Moritz Diehl University of Freiburg
M Maarten Steinbuch
M Maarten Steinbuch Eindhoven University of Technology
Luc André
Luc André Royal Museum for Central Africa
David P. Gillikin
David P. Gillikin Union College

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