World's Best Scientists 2026 revealed!
Michel Nakhla

Michel Nakhla

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
51
Citations
10199
World Ranking
2671
National Ranking
125

Michel Nakhla 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 Nakhla 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.

Michel Nakhla 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 Nakhla 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: 51 D-Index — 63rd percentile

63% 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

  • 1998 - IEEE Fellow For contributions to the development of advanced CAD techniques for microwave circuits and high-speed interconnects
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Michel Nakhla is affiliated with Carleton University in Canada, specializing in engineering and physics with a particular focus on electrical and electronic engineering. Their research encompasses 26 publications in engineering and 10 in physics and astronomy.

Their main subfields of study include:

  • Electrical and Electronic Engineering
  • Statistical and Nonlinear Physics
  • Control and Systems Engineering
  • Atomic and Molecular Physics, and Optics
  • Statistics, Probability and Uncertainty

Key research topics covered by their work involve:

  • Electromagnetic Simulation and Numerical Methods
  • Electromagnetic Compatibility and Noise Suppression
  • Model Reduction and Neural Networks
  • Electromagnetic Scattering and Analysis
  • Probabilistic and Robust Engineering Design
  • Real-time simulation and control systems
  • Microwave Engineering and Waveguides

Michel Nakhla has authored and co-authored numerous papers, some recent notable publications include:

  • "Simulation and Automated Modeling of Microwave Circuits: State-of-the-Art and Emerging Trends," 2021, IEEE Journal of Microwaves
  • "Time-Domain Analysis of Retarded Partial Element Equivalent Circuit Models Using Numerical Inversion of Laplace Transform," 2020, IEEE Transactions on Electromagnetic Compatibility
  • "Fast and Stable Time-Domain Simulation Based on Modified Numerical Inversion of the Laplace Transform," 2021, IEEE Transactions on Components Packaging and Manufacturing Technology
  • "Uncertainty Quantification Using Parameter Space Partitioning," 2021, IEEE Transactions on Microwave Theory and Techniques
  • "Fast and Stable Circuit Simulation via Interpolation-Supported Numerical Inversion of the Laplace Transform," 2021, IEEE Transactions on Components Packaging and Manufacturing Technology

The scientist has frequently published in several venues, prominently including:

  • IEEE Transactions on Components Packaging and Manufacturing Technology
  • IEEE Transactions on Microwave Theory and Techniques
  • IEEE Transactions on Electromagnetic Compatibility
  • IEEE Journal of Microwaves
  • 2022 International Symposium on Electromagnetic Compatibility - EMC Europe

Frequent collaborators in their research work include Emad Gad, Ye Tao, Behzad Nouri, Francesco Ferranti, and Giulio Antonini.

Michel Nakhla received recognition as an IEEE Fellow in 1998 for contributions to the development of advanced computer-aided design techniques for microwave circuits and high-speed interconnects. The scientist is also a member of The Canadian Academy of Engineering.

Best Publications

  • Simulation of high-speed interconnects

    R. Achar;M.S. Nakhla

  • Analysis of interconnect networks using complex frequency hopping (CFH)

    E. Chiprout;M.S. Nakhla

  • A neural network modeling approach to circuit optimization and statistical design

    A.H. Zaabab;Qi-Jun Zhang;M. Nakhla

  • Asymptotic waveform Evaluation

    Eli Chiprout;Michel S. Nakhla

  • Stability, Causality, and Passivity in Electrical Interconnect Models

    P. Triverio;S. Grivet-Talocia;M.S. Nakhla;F.G. Canavero

  • Asymptotic Waveform Evaluation: And Moment Matching for Interconnect Analysis

    Eli Chiprout;Michel S. Nakhla

  • Analysis of high-speed VLSI interconnects using the asymptotic waveform evaluation technique

    T.K. Tang;M.S. Nakhla

  • Time-domain analysis of lossy coupled transmission lines

    J.R. Griffith;M.S. Nakhla

  • A fast algorithm and practical considerations for passive macromodeling of measured/simulated data

    D. Saraswat;R. Achar;M.S. Nakhla

  • Global passivity enforcement algorithm for macromodels of interconnect subnetworks characterized by tabulated data

    D. Saraswat;R. Achar;M.S. Nakhla

  • A general class of passive macromodels for lossy multiconductor transmission lines

    A. Dounavis;R. Achar;M. Nakhla

  • DEPACT: delay extraction-based passive compact transmission-line macromodeling algorithm

    N.M. Nakhla;A. Dounavis;R. Achar;M.S. Nakhla

  • Efficient passive circuit models for distributed networks with frequency-dependent parameters

    A. Dounavis;R. Achar;M.S. Nakhla

  • Passive closed-form transmission-line model for general-purpose circuit simulators

    A. Dounavis;Xin Li;M.S. Nakhla;R. Achar

  • The application of neural networks to EM-based simulation and optimization of interconnects in high-speed VLSI circuits

    A. Veluswami;M.S. Nakhla;Qi-Jun Zhang

  • Passive interconnect reduction algorithm for distributed/measured networks

    R. Achar;P.K. Gunupudi;M. Nakhla;E. Chiprout

  • Passive parameterized time-domain macromodels for high-speed transmission-line networks

    P.K. Gunupudi;R. Khazaka;M.S. Nakhla;T. Smy

  • Analysis of lossy multiconductor transmission lines using the asymptotic waveform evaluation technique

    T.K. Tang;M.S. Nakhla;R. Griffith

  • Simulation of coupled interconnects using waveform relaxation and transverse partitioning

    N.M. Nakhla;A.E. Ruehli;M.S. Nakhla;R. Achar

  • Sensitivity analysis of lossy coupled transmission lines

    S. Lum;M.S. Nakhla;Q.-J. Zhang

Frequent Co-Authors

Ramachandra Achar
Ramachandra Achar Carleton University
Qi-Jun Zhang
Qi-Jun Zhang Carleton University
Emad Gad
Emad Gad Swinburne University of Technology
Giulio Antonini
Giulio Antonini University of L'Aquila
Albert E. Ruehli
Albert E. Ruehli Missouri University of Science and Technology
Tom Dhaene
Tom Dhaene Ghent University
Flavio Canavero
Flavio Canavero Polytechnic University of Turin
Andreas C. Cangellaris
Andreas C. Cangellaris University of Illinois at Urbana-Champaign
John W. Bandler
John W. Bandler McMaster University
John Hock Lye Pang
John Hock Lye Pang Nanyang Technological University

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