World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
63
Citations
13664
World Ranking
1384
National Ranking
32

Michel Gevers 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 Michel Gevers 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: 282 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Michel Gevers 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 Michel Gevers 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: 63 D-Index — 81st percentile

81% 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

  • 2013 - Member of Academia Europaea
  • 2006 - Fellow of the International Federation of Automatic Control (IFAC)
  • 1990 - IEEE Fellow For contributions to the understanding and identification of linear multivariable

Overview

Michel Gevers is affiliated with the Université Catholique de Louvain in Belgium. Their research primarily focuses on engineering, with particular expertise in control and systems engineering. Michel's work spans interdisciplinary subfields including molecular biology, cognitive neuroscience, statistical and nonlinear physics, and electrical and electronic engineering.

Michel Gevers has contributed extensively to topics such as gene regulatory network analysis, fault detection and control systems, neural dynamics and brain function, control systems and identification, stochastic dynamics and bifurcation, advanced electrical measurement techniques, and photoreceptor and optogenetics research.

Recent publications by Michel Gevers include:

  • Excitation and Measurement Patterns for the Identifiability of Directed Acyclic Graphs (2022, 2022 IEEE 61st Conference on Decision and Control (CDC))
  • Necessary and Sufficient Conditions for the Identifiability of Isolated Loops (2022, IEEE Control Systems Letters)
  • Identifiability of Dynamic Networks: The Essential Rôle of Dources and Dinks (2023, IEEE Transactions on Automatic Control)
  • Excitation and Measurement Patterns for the Identifiability of Directed Acyclic Graphs (2022, arXiv (Cornell University))
  • Identifiability of dynamic networks: the essential rôle of dources and dinks (2022, arXiv (Cornell University))

Frequent co-authors collaborating with Michel Gevers include:

  • Eduardo Mapurunga
  • Alexandre Sanfelice Bazanella
  • M. Strauß
  • Armin Shayeghi
  • Martin F. X. Mauser

Michel Gevers's publications often appear in venues such as:

  • arXiv (Cornell University)
  • 2022 IEEE 61st Conference on Decision and Control (CDC)
  • IEEE Control Systems Letters
  • IEEE Transactions on Automatic Control
  • PubMed

Awards received by Michel Gevers include:

  • IEEE Fellow (1990), for contributions to the understanding and identification of linear multivariable systems
  • Fellow of the International Federation of Automatic Control (IFAC) (2006)
  • Member of Academia Europaea (2013)

Best Publications

  • Iterative feedback tuning: theory and applications

    H. Hjalmarsson;M. Gevers;S. Gunnarsson;O. Lequin

  • Stable adaptive observers for nonlinear time-varying systems

    G. Bastin;M.R. Gevers

  • Identification for Control: From the Early Achievements to the Revival of Experiment Design

    M. Gevers

  • Parametrizations in Control, Estimation and Filtering Problems: Accuracy Aspects

    Michel Gevers;Gang Li

  • Quantifying the error in estimated transfer functions with application to model order selection

    G.C. Goodwin;M. Gevers;B. Ninness

  • A convergent iterative restricted complexity control design scheme

    H. Hjalmarsson;S. Gunnarsson;M. Gevers

  • Towards a Joint Design of Identification and Control

    M. Gevers

  • For model-based control design, closed-loop identification gives better performance

    Håkan Hjalmarsson;Michel Gevers;Franky De Bruyne

  • Optimal experiment designs with respect to the intended model application

    Unknown

  • Least costly identification experiment for control

    X. Bombois;G. Scorletti;M. Gevers;P. M. J. Van Den Hof

  • Iterative feedback tuning of PID parameters: comparison with classical tuning rules

    Olivier Lequin;Michel Gevers;Magnus Mossberg;Emmanuel Bosmans

  • Iterative weighted least-squares identification and weighted LQG control design

    Zhuquan Zang;Robert R. Bitmead;Michel Gevers

  • Riccati equations in optimal filtering of nonstabilizable systems having singular state transition matrices

    C. de Souza;M. Gevers;G. Goodwin

  • SPC: Subspace Predictive Control

    Wouter Favoreel;Bart De Moor;Michel Gevers

  • Identification For Control: Optimal Input Design With Respect To A Worst-Case $ u$-gap Cost Function

    Roland Hildebrand;Michel Gevers

  • Identification and the Information Matrix: How to Get Just Sufficiently Rich?

    M. Gevers;A.S. Bazanella;X. Bombois;L. Miskovic

  • Monotonicity and stabilizability- properties of solutions of the Riccati difference equation: Propositions, lemmas, theorems, fallacious conjectures and counterexamples☆

    Robert R. Bitmead;Michel R. Gevers;Ian R. Petersen;R.John Kaye

  • A personal view of the development of system identification: A 30-year journey through an exciting field

    M. Gevers

  • Survey on the State of Systems and Control

    Vincent D. Blondel;Michel Gevers;Anders Lindquist

  • Simultaneous Stabilizability of Three Linear Systems Is Rationally Undecidable

    Vincent D. Blondel;Michel Gevers

  • Optimal FWL design of state-space digital systems with weighted sensitivity minimization and sparseness consideration

    G. Li;B.D.O. Anderson;M. Gevers;J.E. Perkins

Frequent Co-Authors

Brian D. O. Anderson
Brian D. O. Anderson Australian National University
Georges Bastin
Georges Bastin Université Catholique de Louvain
Robert R. Bitmead
Robert R. Bitmead University of California, San Diego
Håkan Hjalmarsson
Håkan Hjalmarsson Royal Institute of Technology
Graham C. Goodwin
Graham C. Goodwin University of Newcastle Australia
Alireza Karimi
Alireza Karimi École Polytechnique Fédérale de Lausanne
Dominique Bonvin
Dominique Bonvin École Polytechnique Fédérale de Lausanne
Vincent D. Blondel
Vincent D. Blondel Université Catholique de Louvain
Johan Schoukens
Johan Schoukens Eindhoven University of Technology
Pierre-Antoine Absil
Pierre-Antoine Absil Université Catholique de Louvain

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