World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
5570
World Ranking
9522
National Ranking
231

Hugues Garnier 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 Hugues Garnier 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: 204 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Hugues Garnier 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 Hugues Garnier 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: 32 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Hugues Garnier is affiliated with the University of Lorraine in France and has contributed extensively to the fields of engineering and computer science. Their research primarily focuses on control and systems engineering, electrical and electronic engineering, and artificial intelligence, with additional work in aerospace engineering and signal processing.

The main topics addressed in their work include fault detection and control systems, speech recognition and synthesis, machine fault diagnosis techniques, wireless power transfer systems, energy harvesting in wireless networks, advanced battery technologies research, and control systems and identification.

Garnier's publication record includes articles in the following venues:

  • IFAC-PapersOnLine
  • IEEE Transactions on Power Electronics
  • Reliability Engineering & System Safety
  • PHM Society European Conference
  • Control Engineering Practice

Recent papers authored or co-authored by Garnier include:

  • "A new Graphical User Interface for the CONTSID toolbox for Matlab," 2021, IFAC-PapersOnLine
  • "Data-Driven Modeling of Wireless Power Transfer Systems With Multiple Transmitters," 2020, IEEE Transactions on Power Electronics
  • "Data-Driven Modeling of Wireless Power Transfer Systems With Slowly Time-Varying Parameters," 2020, IEEE Transactions on Power Electronics
  • "Remaining Useful Life prediction based on physics-informed data augmentation," 2024, Reliability Engineering & System Safety
  • "Unsupervised Remaining Useful Life Prediction through Long Range Health Index Estimation based on Encoders-Decoders," 2022, IFAC-PapersOnLine

Frequent collaborators with Garnier include Fengwei Chen, Juan I. Yuz, Martin Hervé de Beaulieu, Mayank Jha, and Farid Cerbah.

Best Publications

  • Identification of Continuous-time Models from Sampled Data

    Hugues Garnier;Liuping Wang

  • Direct Identification of Continuous-time Models from Sampled Data: Issues, Basic Solutions and Relevance

    Hugues Garnier;Liuping Wang;Peter C. Young;Peter C. Young

  • The CONTSID Toolbox: A Software Support for Data-based Continuous-time Modelling

    Hugues Garnier;Marion Gilson;Thierry Bastogne;Michel Mensler

  • Continuous-time model identification from sampled data: Implementation issues and performance evaluation

    H. Garnier;M. Mensler;A. Richard

  • Parameter and differentiation order estimation in fractional models

    StéPhane Victor;Rachid Malti;Hugues Garnier;Alain Oustaloup

  • Refined instrumental variable methods for identification of LPV Box-Jenkins models

    Vincent Laurain;Marion Gilson;Roland Tóth;Hugues Garnier

  • Identification and estimation of continuous-time, data-based mechanistic (DBM) models for environmental systems

    Peter C. Young;Peter C. Young;Hugues Garnier

  • Direct continuous-time approaches to system identification. Overview and benefits for practical applications

    Hugues Garnier;Hugues Garnier

  • Direct continuous-time approaches to system identification. Overview and benefits for practical applications

    Hugues Garnier

  • An optimal IV technique for identifying continuous-time transfer function model of multiple input systems

    Hugues Garnier;Marion Gilson;Peter Young;Peter Young;Eric Huselstein

  • Accurate Lithium-ion battery parameter estimation with continuous-time system identification methods

    Bing Xia;Bing Xia;Xin Zhao;Raymond de Callafon;Hugues Garnier;Hugues Garnier

  • Numerical illustrations of the relevance of direct continuous-time model identification

    G.P. Rao;H. Garnier

  • The advantages of directly identifying continuous-time transfer function models in practical applications

    Hugues Garnier;Peter C. Young

  • Optimal instrumental variable method for closed-loop identification

    M. Gilson;H. Garnier;Peter C Young;P.M.J. Van den Hof

  • An optimal instrumental variable method for continuous-time fractional model identification

    Rachid Malti;Stéphane Victor;Alain Oustaloup;Hugues Garnier

  • Robust identification of continuous-time models with arbitrary time-delay from irregularly sampled data

    Fengwei Chen;Fengwei Chen;Hugues Garnier;Hugues Garnier;Marion Gilson;Marion Gilson

  • A PMF-based subspace method for continuous-time model identification. Application to a multivariable winding process

    T. Bastogne;H. Garnier;P. Sibille

  • Refined Instrumental Variable Identification of Continuous-time Hybrid Box-Jenkins Models

    Peter C. Young;Peter C. Young;Hugues Garnier;Marion Gilson

  • Time-domain approaches to continuous-time model identification of dynamical systems from sampled data

    H. Garnier;P. Young

  • A bias-eliminated least-squares method for continuous-time model identification of closed-loop systems

    H. Garnier;M. Gilson;W. X. Zheng

  • Instrumental variable scheme for closed-loop LPV model identification

    Roland TóTh;Vincent Laurain;Marion Gilson;Hugues Garnier

  • Identification of continuous-time errors-in-variables models

    Kaushik Mahata;Hugues Garnier

  • Generalised hold functions for fast sampling rates

    J.I. Yuz;G.C. Goodwin;H. Gamier

  • Refined Instrumental Variable methods for closed-loop system identification

    Marion Gilson;Hugues Garnier;Peter C. Young;Paul M.J. Van den Hof

  • Direct identification of continuous-time errors-in-variables models

    Kaushik Mahata;Hugues Garnier

Frequent Co-Authors

Peter C. Young
Peter C. Young Lancaster University
Chris Mi
Chris Mi San Diego State University
Paul M.J. Van den Hof
Paul M.J. Van den Hof Eindhoven University of Technology
Truong Q. Nguyen
Truong Q. Nguyen University of California, San Diego
Liuping Wang
Liuping Wang RMIT University
Lennart Ljung
Lennart Ljung Linköping University
Graham C. Goodwin
Graham C. Goodwin University of Newcastle Australia
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Marian K. Kazimierczuk
Marian K. Kazimierczuk Wright State University
Alain Oustaloup
Alain Oustaloup University of Bordeaux

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