World's Best Scientists 2026 revealed!
John W. Bandler

John W. Bandler

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
66
Citations
15116
World Ranking
1161
National Ranking
59

John W. Bandler 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 John W. Bandler 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: 405 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

John W. Bandler 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 John W. Bandler 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: 66 D-Index — 84th percentile

84% 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

  • 1986 - Fellow of the Royal Society of Canada Academy of Science
  • 1978 - IEEE Fellow For contributions to computer-oriented microwave and circuit practices.
  • 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

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Algorithm
  • Mathematical optimization

John W. Bandler mainly investigates Space mapping, Mathematical optimization, Algorithm, Electronic engineering and Iterative method. His Space mapping study integrates concerns from other disciplines, such as Engineering optimization, Uniqueness and Surrogate model. The various areas that John W. Bandler examines in his Mathematical optimization study include Function, Nonlinear programming, Optimal design and Engineering design process.

His work deals with themes such as Filter, Robustness, Waveguide filter and Nonlinear system, which intersect with Algorithm. The study incorporates disciplines such as Computer Aided Design, CAD and Electronic design automation in addition to Electronic engineering. His Iterative method study incorporates themes from Method of moments, Geometry, Solver and Antenna.

His most cited work include:

  • Space mapping: the state of the art (858 citations)
  • Space mapping technique for electromagnetic optimization (515 citations)
  • Fault diagnosis of analog circuits (416 citations)

What are the main themes of his work throughout his whole career to date?

John W. Bandler focuses on Space mapping, Electronic engineering, Algorithm, Mathematical optimization and Microwave. John W. Bandler interconnects Artificial neural network, CAD, Engineering optimization, Surrogate model and Engineering design process in the investigation of issues within Space mapping. His research investigates the connection between Electronic engineering and topics such as Sensitivity that intersect with issues in Network analysis and Computer Aided Design.

His study on Iterative method is often connected to Computational electromagnetics as part of broader study in Algorithm. His Mathematical optimization research incorporates themes from Algorithm design, Nonlinear programming, Nonlinear system and Applied mathematics. His biological study spans a wide range of topics, including Electronic design automation and Minimax approximation algorithm.

He most often published in these fields:

  • Space mapping (43.80%)
  • Electronic engineering (40.00%)
  • Algorithm (28.61%)

What were the highlights of his more recent work (between 2009-2021)?

  • Space mapping (43.80%)
  • Electronic engineering (40.00%)
  • Microwave (19.49%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Space mapping, Electronic engineering, Microwave, Algorithm and Mathematical optimization. His multidisciplinary approach integrates Space mapping and Computational electromagnetics in his work. In his work, Software is strongly intertwined with Engineering design process, which is a subfield of Electronic engineering.

His Microwave research is multidisciplinary, incorporating perspectives in State, Waveguide filter, CAD and Sensitivity. His Algorithm study also includes

  • Feature together with Ripple,
  • Benchmark, which have a strong connection to Nonlinear system. His Mathematical optimization study integrates concerns from other disciplines, such as Algorithm design and Set.

Between 2009 and 2021, his most popular works were:

  • Rapid Yield Estimation and Optimization of Microwave Structures Exploiting Feature-Based Statistical Analysis (90 citations)
  • Robust Trust-Region Space-Mapping Algorithms for Microwave Design Optimization (56 citations)
  • Reliable Space-Mapping Optimization Integrated With EM-Based Adjoint Sensitivities (46 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Algorithm
  • Mathematical analysis

His primary scientific interests are in Space mapping, Algorithm, Electronic engineering, Microwave and Mathematical optimization. John W. Bandler integrates several fields in his works, including Space mapping and Computational electromagnetics. His work carried out in the field of Algorithm brings together such families of science as Data modeling, Microstrip, Filter and Benchmark.

The concepts of his Electronic engineering study are interwoven with issues in Space, Discretization, Predistortion and Engineering design process. John W. Bandler has included themes like Waveguide filter, Fuzzy control system, State, Kriging and Frequency response in his Microwave study. His work on Surrogate model and Iterative method as part of general Mathematical optimization research is frequently linked to Trust region and Speedup, thereby connecting diverse disciplines of science.

Best Publications

  • Space mapping: the state of the art

    J.W. Bandler;Q.S. Cheng;S.A. Dakroury;A.S. Mohamed

  • Space mapping technique for electromagnetic optimization

    J.W. Bandler;R.M. Biernacki;Shao Hua Chen;P.A. Grobelny

  • Fault diagnosis of analog circuits

    J.W. Bandler;A.E. Salama

  • Electromagnetic optimization exploiting aggressive space mapping

    J.W. Bandler;R.M. Biernacki;Shao Hua Chen;R.H. Hemmers

  • Space mapping

    S. Koziel;Qingsha Cheng;J. Bandler

  • A Space-Mapping Framework for Engineering Optimization—Theory and Implementation

    S. Koziel;J.W. Bandler;K. Madsen

  • A trust region aggressive space mapping algorithm for EM optimization

    M.H. Bakr;J.W. Bandler;R.M. Biernacki;S.H. Chen

  • Feasible adjoint sensitivity technique for EM design optimization

    N.K. Georgieva;S. Glavic;M.H. Bakr;J.W. Bandler

  • Neuromodeling of microwave circuits exploiting space-mapping technology

    J.W. Bandler;M.A. Ismail;J.E. Rayas-Sanchez;Qi-Jun Zhang

  • Circuit optimization: the state of the art

    J.W. Bandler;S.H. Chen

  • A hybrid aggressive space mapping algorithm for EM optimization

    M.H. Bakr;J.W. Bandler;N. Georgieva;K. Madsen

  • Implicit space mapping optimization exploiting preassigned parameters

    J.W. Bandler;Q.S. Cheng;N.K. Nikolova;M.A. Ismail

  • Neuromodeling of microwave circuits exploiting space mapping technology

    J.W. Bandler;M.A. Ismail;Q.J. Zhang

  • Optimization Methods for Computer-Aided Design

    J.W. Bandler

  • Space-mapping optimization of microwave circuits exploiting surrogate models

    M.H. Bakr;J.W. Bandler;K. Madsen;J.E. Rayas-Sanchez

  • Computer-aided design of RF and microwave circuits and systems

    M.B. Steer;J.W. Bandler;C.M. Snowden

  • Neural space-mapping optimization for EM-based design

    M.H. Bakr;J.W. Bandler;M.A. Ismail;J.E. Rayas-Sanchez

  • Cognition-Driven Formulation of Space Mapping for Equal-Ripple Optimization of Microwave Filters

    Chao Zhang;Feng Feng;Venu-Madhav-Reddy Gongal-Reddy;Qi Jun Zhang

  • Rapid Yield Estimation and Optimization of Microwave Structures Exploiting Feature-Based Statistical Analysis

    Slawomir Koziel;John W. Bandler

  • Space Mapping With Adaptive Response Correction for Microwave Design Optimization

    S. Koziel;J.W. Bandler;K. Madsen

  • A Trust Region Aggressive Space Mapping Algorithm for EM

    M. Bakr.;J. W. Bandler;R. Biernacki;S. Chen

Frequent Co-Authors

Slawomir Koziel
Slawomir Koziel Reykjavík University
Qingsha S. Cheng
Qingsha S. Cheng Southern University of Science and Technology
Qi-Jun Zhang
Qi-Jun Zhang Carleton University
Mohamed H. Bakr
Mohamed H. Bakr McMaster University
Natalia K. Nikolova
Natalia K. Nikolova McMaster University
Kaj Madsen
Kaj Madsen Technical University of Denmark
Vicente E. Boria
Vicente E. Boria Universitat Politècnica de València
Tatsuo Itoh
Tatsuo Itoh University of California, Los Angeles
Jun-ichi Nishizawa
Jun-ichi Nishizawa Tohoku University
Lester F. Eastman
Lester F. Eastman Cornell University

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