World's Best Scientists 2026 revealed!
Torsten Söderström

Torsten Söderström

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
24011
World Ranking
2132
National Ranking
27

Torsten Söderström 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 Torsten Söderström 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: 360 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Torsten Söderström 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 Torsten Söderström 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: 55 D-Index — 69th percentile

69% 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

  • 1992 - IEEE Fellow For fundamental contributions to system identification

Overview

Torsten Söderström is affiliated with Uppsala University in Sweden. Their research spans multiple fields, primarily focused on engineering and computer science. Within these areas, Söderström has contributed extensively to subfields such as control and systems engineering, civil and structural engineering, signal processing, computational mechanics, and artificial intelligence.

The main topics of their work include:

  • Control Systems and Identification
  • Structural Health Monitoring Techniques
  • Fault Detection and Control Systems
  • Blind Source Separation Techniques
  • Advanced Adaptive Filtering Techniques
  • Neural Networks and Applications
  • Image and Signal Denoising Methods

Among Söderström's recent papers are the following:

  • Aspects on errors-in-variables identification: Some ways to mitigate a large bias, 2023, IFAC-PapersOnLine
  • When Are Errors-in-Variables Aspects Important to Consider in System Identification?, 2022, 2022 European Control Conference (ECC)
  • Frequency domain identification of FIR models in the presence of additive input-output noise, 2020, Automatica
  • Blind identification of two-channel FIR systems: a frequency domain approach, 2020, IFAC-PapersOnLine
  • The Frisch scheme for EIV system identification: time and frequency domain formulations, 2020, IFAC-PapersOnLine

Söderström's frequent co-author is Umberto Soverini, with whom they have collaborated on multiple papers. The principal publication venues where their work appears include IFAC-PapersOnLine, Automatica, and the 2022 European Control Conference (ECC).

In recognition of contributions to system identification, Söderström was named an IEEE Fellow in 1992.

Best Publications

  • System identification

    T. Söderström;P. Stoica

  • Theory and Practice of Recursive Identification

    Lennart Ljung;Torsten Söderström

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

    I. Gustavsson;L. Ljung;T. Söderström

  • Instrumental Variable Methods for System Identification

    Torsten Söderström;Petre Stoica

  • Errors-in-Variables Methods in System Identification

    Torsten Söderström

  • Maximum likelihood estimation of the parameters of multiple sinusoids from noisy measurements

    P. Stoica;R.L. Moses;B. Friedlander;T. Soderstrom

  • Discrete-Time Stochastic Systems: Estimation and Control

    Torsten Soderstrom

  • Paper: A theoretical analysis of recursive identification methods

    T. Söderström;L. Ljung;I. Gustavsson

  • Papers: Identification of stochastic linear systems in presence of input noise

    Torsten Söderström

  • Statistical analysis of MUSIC and subspace rotation estimates of sinusoidal frequencies

    P. Stoica;T. Soderstrom

  • Uniqueness of the maximum likelihood estimates of the parameters of an ARMA model

    K. Astrom;T. Soderstrom

  • Discrete-time Stochastic Systems

    Torsten Söderström

  • Comparison of some instrumental variable methods-Consistency and accuracy aspects

    T. Söderström;P. Stoica

  • Instrumental-variable methods for identification of Hammerstein systems

    Petre Stoica;Torsten Söderstrom

  • The Steiglitz-McBride identification algorithm revisited--Convergence analysis and accuracy aspects

    P. Stoica;T. Soderstrom

  • On model structure testing in system identification

    T. Soderstrom

  • Identification of linear, multivariable systems operating under linear feedback control

    L. Ljung;I. Gustavsson;T. Soderstrom

  • Least squares parameter estimation of continuous-time ARX models from discrete-time data

    T. Soderstrom;H. Fan;B. Carlsson;S. Bigi

  • Convergence properties of the generalised least squares identitication method

    Torsten Söderström

  • Identifiability conditions for linear systems operating in closed loop

    Torsten Söderström;Ivar Gustavsson;Lennart Ljung

Frequent Co-Authors

Petre Stoica
Petre Stoica Uppsala University
Lennart Ljung
Lennart Ljung Linköping University
Benjamin Friedlander
Benjamin Friedlander University of California, Santa Cruz
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Randolph L. Moses
Randolph L. Moses The Ohio State University
Peter Händel
Peter Händel Royal Institute of Technology
Bo Wahlberg
Bo Wahlberg Royal Institute of Technology
Johan Schoukens
Johan Schoukens Eindhoven University of Technology
Rik Pintelon
Rik Pintelon Vrije Universiteit Brussel
Bengt Lennartson
Bengt Lennartson Chalmers University of Technology

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