World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
34
Citations
4402
World Ranking
5856
National Ranking
125

Gerd Vandersteen 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 Gerd Vandersteen 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: 345 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Gerd Vandersteen 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 Gerd Vandersteen 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: 34 D-Index — 18th percentile

18% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Gerd Vandersteen is affiliated with Vrije Universiteit Brussel in Belgium and has contributed extensively to multiple fields including Engineering, Computer Science, and Medicine. Their research spans several focused subfields such as Artificial Intelligence, Pulmonary and Respiratory Medicine, Biomedical Engineering, Aerospace Engineering, and Control and Systems Engineering.

The scientist's work covers a broad range of topics, including Non-Invasive Vital Sign Monitoring, Online Learning and Analytics, Hydrology and Watershed Management Studies, Groundwater Flow and Contamination Studies, Control Systems and Identification, Structural Health Monitoring Techniques, and Hemodynamic Monitoring and Therapy.

Gerd Vandersteen's recent publications illustrate the diversity and multidisciplinary nature of their research. These include:

  • A flexible feature selection approach for predicting students' academic performance in online courses, 2022, Computers and Education Artificial Intelligence
  • LPMLEn-A Frequency Domain Method to Estimate Vertical Streambed Fluxes and Sediment Thermal Properties in Semi-Infinite and Bounded Domains, 2022, Water Resources Research
  • Correcting for non-periodic behaviour in perturbative experiments: application to heat pulse propagation and modulated gas-puff experiments, 2020, Plasma Physics and Controlled Fusion
  • Frequency Response Function Measurements via Local Rational Modeling, Revisited, 2020, IEEE Transactions on Instrumentation and Measurement
  • Challenges in the microwave heating of structured carbon adsorbents, 2023, Chemical Engineering Journal

Throughout their career, Vandersteen has frequently published in the following venues:

  • IEEE Transactions on Instrumentation and Measurement
  • Computers and Education Artificial Intelligence
  • Water Resources Research
  • Chemical Engineering Journal
  • Plasma Physics and Controlled Fusion

The collaboration network of Gerd Vandersteen includes several frequent co-authors:

  • Dries Peumans (10 publications)
  • Ali Al-Zawqari (7 publications)
  • John Lataire (6 publications)
  • Yves Rolain (5 publications)
  • Ricky van Kampen (4 publications)

Best Publications

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

    Rik Pintelon;Joannes Schoukens;Gerd Vandersteen;Kurt Barbé

  • Frequency domain system identification using arbitrary signals

    R. Pintelon;J. Schoukens;G. Vandersteen

  • 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

  • A 57-to-66GHz quadrature PLL in 45nm digital CMOS

    K. Scheir;G. Vandersteen;Y. Rolain;P. Wambacq

  • Basics of broadband impedance spectroscopy measurements using periodic excitations

    B Sanchez;G Vandersteen;R Bragos;J Schoukens

  • Estimation of nonparametric noise and FRF models for multivariable systems—Part II: Extensions, applications

    Rik Pintelon;Joannes Schoukens;Gerd Vandersteen;Kurt Barbé

  • Nonparametric preprocessing in system identification: A powerful tool

    J. Schoukens;G. Vandersteen;K. Barbe;R. Pintelon

  • Optimal multisine excitation design for broadband electrical impedance spectroscopy

    Benjamin Sanchez;Gerd Vandersteen;Ramon Bragós;Johan Schoukens

  • Robustness Issues of the Best Linear Approximation of a Nonlinear System

    J. Schoukens;J. Lataire;R. Pintelon;G. Vandersteen

  • Experimental characterization of operational amplifiers: a system identification Approach-part I: theory and Simulations

    R. Pintelon;G. Vandersteen;Ludwig De Locht;Y. Rolain

  • Novel Estimation of the Electrical Bioimpedance Using the Local Polynomial Method. Application to In Vivo Real-Time Myocardium Tissue Impedance Characterization During the Cardiac Cycle

    B. Sanchez;J. Schoukens;R. Bragos;G. Vandersteen

  • Improved (non-)parametric identification of dynamic systems excited by periodic signals—The multivariate case

    Rik Pintelon;Gerd Vandersteen;Joannes Schoukens;Yves Rolain

  • Multirate Cascaded Discrete-Time Low-Pass ΔΣ Modulator for GSM/Bluetooth/UMTS

    Lynn Bos;Gerd Vandersteen;Pieter Rombouts;Arnd Geis

  • Analyses, Development, and Applications of TLS Algorithms in Frequency Domain System Identification

    Rik Pintelon;Patrick Guillaume;Gerd Vandersteen;Yves Rolain

  • Signal reconstruction for non-equidistant finite length sample sets: a "KIS" approach

    Y. Rolain;J. Schoukens;G. Vandersteen

  • Measurement and identification of nonlinear systems consisting of linear dynamic blocks and one static nonlinearity

    G. Vandersteen;J. Schoukens

  • Non-parametric estimation of the frequency-response functions of the linear blocks of a Wiener-Hammerstein model

    Gerd Vandersteen;Yves Rolain;Johan Schoukens

  • Spectrally pure excitation signals: only a dream?

    D. Rabijns;W. Van Moer;G. Vandersteen

  • A 0.5 mm $^{2}$ Power-Scalable 0.5–3.8-GHz CMOS DT-SDR Receiver With Second-Order RF Band-Pass Sampler

    Arnd Geis;Julien Ryckaert;Lynn Bos;Gerd Vandersteen

  • An identification technique for data acquisition characterization in the presence of nonlinear distortions and time base distortions

    G. Vandersteen;Y. Rolain;J. Schoukens

  • A novel and low-cost analog front-end mismatch calibration scheme for MIMO-OFDM WLANs

    Jian Liu;G. Vandersteen;J. Craninckx;M. Libois

Frequent Co-Authors

Yves Rolain
Yves Rolain Vrije Universiteit Brussel
Rik Pintelon
Rik Pintelon Vrije Universiteit Brussel
Johan Schoukens
Johan Schoukens Eindhoven University of Technology
Piet Wambacq
Piet Wambacq Vrije Universiteit Brussel
Okke Batelaan
Okke Batelaan Flinders University
Christian Schmidt
Christian Schmidt Helmholtz Centre for Environmental Research

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