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Electronics and Electrical Engineering
Sweden
2026
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Engineering and Technology
Sweden
2022

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
94
Citations
44736
World Ranking
245
National Ranking
5

Lennart Ljung 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 Lennart Ljung 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: 620 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Lennart Ljung 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 Lennart Ljung 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: 94 D-Index — 96th percentile

96% 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 Sweden Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Sweden Leader Award
  • 2022 - Research.com Engineering and Technology in Sweden Leader Award
  • 2016 - Member of Academia Europaea
  • 2007 - IEEE Control Systems Award “For seminal contributions to system identification and its impact on industrial practice.”
  • 2005 - Fellow of the International Federation of Automatic Control (IFAC)
  • 2004 - Member of the National Academy of Engineering For contributions to the understanding and practical uses of system identification theory and techniques.
  • 1985 - IEEE Fellow For contributions to recursive parameter estimation and adaptive control.

Overview

Lennart Ljung is affiliated with Linköping University in Sweden and has made contributions primarily in the fields of engineering and computer science. Their research focuses notably on control and systems engineering, artificial intelligence, civil and structural engineering, applied mathematics, and statistics, probability, and uncertainty.

The scientist's work spans several key topics, including control systems and identification, fault detection and control systems, structural health monitoring techniques, statistical and numerical algorithms, probabilistic and robust engineering design, statistical methods and inference, and neural networks and applications.

Among their recent papers are:

  • Deep Learning and System Identification (2020, IFAC-PapersOnLine)
  • Deep networks for system identification: A survey (2024, Automatica)
  • Linear Quadratic Control Using Model-Free Reinforcement Learning (2022, IEEE Transactions on Automatic Control)
  • Full Bayesian identification of linear dynamic systems using stable kernels (2023, Proceedings of the National Academy of Sciences)
  • Deep State Space Models for Nonlinear System Identification (2021, IFAC-PapersOnLine)

Ljung has collaborated frequently with other researchers in the field, including Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Biqiang Mu, and Gianluigi Pillonetto.

Their publications have appeared regularly in venues such as IFAC-PapersOnLine, arXiv (Cornell University), International Journal of Adaptive Control and Signal Processing, Automatica, and IEEE Transactions on Automatic Control.

In addition to journal articles, Ljung has contributed to book publications, including "Regularized System Identification" published in 2022 under the Communications and Control Engineering series.

The scientist has been recognized with several awards, including:

  • Member of Academia Europaea (2016)
  • IEEE Control Systems Award (2007) for contributions to system identification and its industrial impact
  • Fellow of the International Federation of Automatic Control (IFAC) (2005)
  • Member of the National Academy of Engineering (2004) for advances in system identification theory and techniques
  • IEEE Fellow (1985) for work on recursive parameter estimation and adaptive control

Best Publications

  • System Identification: Theory for the User

    Lennart Ljung

  • Theory and Practice of Recursive Identification

    Lennart Ljung;Torsten Söderström

  • Nonlinear black-box modeling in system identification: a unified overview

    Jonas Sjöberg;Qinghua Zhang;Lennart Ljung;Albert Benveniste

  • Analysis of recursive stochastic algorithms

    L. Ljung

  • Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems

    L. Ljung

  • Modeling of dynamic systems

    Lennart Ljung;Torkel Glad

  • Closed-loop identification revisited

    Urban Forssell;Lennart Ljung

  • Paper: Theory and applications of self-tuning regulators

    K. J. Åström;U. Borisson;L. Ljung;B. Wittenmark

  • Survey Kernel methods in system identification, machine learning and function estimation: A survey

    Gianluigi Pillonetto;Francesco Dinuzzo;Tianshi Chen;Giuseppe De Nicolao

  • On global identifiability for arbitrary model parametrizations

    Lennart Ljung;Torkel Glad

  • System identification (2nd ed.): theory for the user

    Lennart Ljung

  • Identification of processes in closed loop-identifiability and accuracy aspects

    I. Gustavsson;L. Ljung;T. Söderström

  • Subspace-based multivariable system identification from frequency response data

    T. McKelvey;H. Akcay;L. Ljung

  • Convergence analysis of parametric identification methods

    L. Ljung

  • Perspectives on System Identification

    Lennart Ljung

  • Nonlinear black-box models in system identification: mathematical foundations

    Anatoli Juditsky;Håkan Hjalmarsson;Albert Benveniste;Bernard Delyon

  • On positive real transfer functions and the convergence of some recursive schemes

    L. Ljung

  • Identification of piecewise affine systems via mixed-integer programming

    Jacob Roll;Alberto Bemporad;Lennart Ljung

  • System identification toolbox for use with MATLAB

    Lennart Ljung

  • On the estimation of transfer functions, regularizations and Gaussian processes-Revisited

    Tianshi Chen;Henrik Ohlsson;Lennart Ljung

  • Application of Fast Kalman Estimation to Adaptive Equalization

    D. Falconer;L. Ljung

  • Maximum Likelihood Identification of Wiener Models

    Anna Hagenblad;Lennart Ljung;Adrian George Wills

  • Fast calculation of gain matrices for recursive estimation schemes

    Lennart Ljung;Martin Morf;David Falconer

  • Control Theory: Multivariable and Nonlinear Methods

    Torkel Glad;Lennart Ljung

  • The Extended Kalman Filter as a Parameter Estimator for Linear Systems

    Lennart Ljung

Frequent Co-Authors

Thomas Kailath
Thomas Kailath Stanford University
Bo Wahlberg
Bo Wahlberg Royal Institute of Technology
Torsten Söderström
Torsten Söderström Uppsala University
Gianluigi Pillonetto
Gianluigi Pillonetto University of Padua
Fredrik Gustafsson
Fredrik Gustafsson Linköping University
Alessandro Chiuso
Alessandro Chiuso University of Padua
Jonas Sjöberg
Jonas Sjöberg Chalmers University of Technology
Håkan Hjalmarsson
Håkan Hjalmarsson Royal Institute of Technology
Thomas B. Schön
Thomas B. Schön Uppsala University
Benjamin Friedlander
Benjamin Friedlander University of California, Santa Cruz

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