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D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
6469
World Ranking
8319
National Ranking
413

Brett Ninness publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Brett Ninness sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 173 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Brett Ninness D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Brett Ninness sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 37 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to computational methods in system identification

Overview

Brett Ninness is affiliated with the University of Newcastle Australia and contributes primarily to the fields of Engineering and Computer Science. Their research work encompasses subfields such as Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering, Statistics and Probability, and Biomedical Engineering.

The scientist's work addresses main topics including Control Systems and Identification, Target Tracking and Data Fusion in Sensor Networks, Fault Detection and Control Systems, Gaussian Processes and Bayesian Inference, Advanced Control Systems Optimization, Bayesian Modeling and Causal Inference, and Markov Chains and Monte Carlo Methods.

Recent publications include:

  • Parameter estimation for Jump Markov Linear Systems, 2021, Automatica
  • A new smoothing algorithm for jump Markov linear systems, 2022, Automatica
  • Variational system identification for nonlinear state-space models, 2022, Automatica
  • Design of fractional-order hammerstein control auto-regressive model for heat exchanger system identification: Treatise on fuzzy-evolutionary computing, 2024, Chaos Solitons & Fractals
  • Large-Amplitude Dithering Mitigates Glitches in Digital-to-Analogue Converters, 2020, IEEE Transactions on Signal Processing

Frequent co-authors associated with Brett Ninness include:

  • Adrian Wills
  • Christopher Renton
  • Mark P. Balenzuela
  • Kalle Åström
  • Robert R. Bitmead

Journals and conferences where the scientist has often published are:

  • arXiv (Cornell University)
  • International Journal of Adaptive Control and Signal Processing
  • Automatica
  • IFAC-PapersOnLine
  • Chaos Solitons & Fractals

Brett Ninness was recognized as an IEEE Fellow in 2017 for contributions to computational methods in system identification.

Best Publications

  • System identification of nonlinear state-space models

    Thomas B. Schön;Adrian Wills;Brett Ninness

  • A unifying construction of orthonormal bases for system identification

    B. Ninness;F. Gustafsson

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

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

  • Identification of Hammerstein-Wiener models

    Adrian Wills;Thomas B. SchöN;Lennart Ljung;Brett Ninness

  • Modelling and Identification with Rational Orthogonal Basis Functions

    Paul Van den Hof;Bo Wahlberg;Peter Heuberger;Brett Ninness

  • Robust maximum-likelihood estimation of multivariable dynamic systems

    Stuart Gibson;Brett Ninness

  • Estimation of model quality

    Brett Ninness;Graham C. Goodwin

  • The fundamental role of general orthonormal bases in system identification

    B. Ninness;H. Hjalmarsson;F. Gustafsson

  • Model Predictive Control Applied to Constraint Handling in Active Noise and Vibration Control

    A.G. Wills;D. Bates;A.J. Fleming;B. Ninness

  • Orthonormal basis functions for modelling continuous-time systems

    Hüseyin Akçay;Brett Ninness

  • Rational basis functions for robust identification from frequency and time domain measurements

    H. Akcay;B. Ninness

  • On Gradient-Based Search for Multivariable System Estimates

    A. Wills;B. Ninness

  • Quantification of Uncertainty in Estimation

    Graham C. Goodwin;Brett Ninness;Mario E. Salgado

  • Sampling zeros and the Euler-Frobenius polynomials

    S.R. Weller;W. Moran;B. Ninness;A.D. Pollington

  • Bayesian system identification via Markov chain Monte Carlo techniques

    Brett Ninness;Soren Henriksen

  • Maximum-likelihood parameter estimation of bilinear systems

    S. Gibson;A. Wills;B. Ninness

  • Estimation of 1/f noise

    B. Ninness

  • Fast Linear Model Predictive Control Via Custom Integrated Circuit Architecture

    A. G. Wills;G. Knagge;B. Ninness

  • Variance error quantifications that are exact for finite-model order

    B. Ninness;H. Hjalmarsson

  • Generalized Fourier and Toeplitz Results for Rational Orthonormal Bases

    Brett Ninness;Hakan Hjalmarsson;Fredrik Gustafsson

  • Sampling zeros and the Euler-Frobenius polynomials

    S.R. Weller;W. Moran;B. Ninnes;A.D. Pollington

Frequent Co-Authors

Håkan Hjalmarsson
Håkan Hjalmarsson Royal Institute of Technology
Graham C. Goodwin
Graham C. Goodwin University of Newcastle Australia
Thomas B. Schön
Thomas B. Schön Uppsala University
Fredrik Gustafsson
Fredrik Gustafsson Linköping University
Minyue Fu
Minyue Fu Southern University of Science and Technology
Andrew J. Fleming
Andrew J. Fleming University of Newcastle Australia
Michel Gevers
Michel Gevers Université Catholique de Louvain
Syed Islam
Syed Islam Federation University Australia
Daniel E. Quevedo
Daniel E. Quevedo University of Sydney
Lennart Ljung
Lennart Ljung Linköping University

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