World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
5979
World Ranking
8356
National Ranking
414

Chris Manzie 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 Chris Manzie 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: 288 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Chris Manzie 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 Chris Manzie 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.

Overview

Chris Manzie is affiliated with the University of Melbourne in Australia and has contributed extensively to research in engineering and computer science. Their work primarily revolves around control and systems engineering, with further involvement in computer networks and communications, artificial intelligence, computational theory and mathematics, and industrial and manufacturing engineering.

The scientist's research covers several main topics, including:

  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Control Systems and Identification
  • Optimization and Search Problems
  • Formal Methods in Verification
  • Distributed Control Multi-Agent Systems
  • Smart Grid Energy Management

Chris Manzie has published articles in a variety of academic venues, frequently appearing in:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • Automatica
  • IEEE Transactions on Automatic Control
  • IEEE Robotics and Automation Letters

Their recent publications include:

  • A review of industrial tracking control algorithms, 2020, Control Engineering Practice
  • Control of an isolated microgrid using hierarchical economic model predictive control, 2020, Applied Energy
  • Minimizing Pumping Energy Cost in Real-Time Operations of Water Distribution Systems Using Economic Model Predictive Control, 2021, Journal of Water Resources Planning and Management
  • Task-Space Synergies for Reaching Using Upper-Limb Prostheses, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Robustness analysis of nonlinear observers for the slow variables of singularly perturbed systems, 2020, International Journal of Robust and Nonlinear Control

Chris Manzie has collaborated frequently with several coauthors, notably:

  • Iman Shames (28 joint publications)
  • Tony A. Wood (16 joint publications)
  • Dragan Nešić (11 joint publications)
  • Ye Pu (10 joint publications)
  • Ye Wang (9 joint publications)

Best Publications

  • Extremum seeking from 1922 to 2010

    Y. Tan;W.H. Moase;C. Manzie;D. Nesic

  • Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery

    Changfu Zou;Chris Manzie;Dragan Nešić;Abhijit G. Kallapur

  • Fuel economy improvements for urban driving : Hybrid vs. intelligent vehicles

    Chris Manzie;Harry Watson;Saman Halgamuge

  • A Framework for Simplification of PDE-Based Lithium-Ion Battery Models

    Changfu Zou;Chris Manzie;Dragan Nesic

  • Newton-Like Extremum-Seeking for the Control of Thermoacoustic Instability

    W H Moase;C Manzie;M J Brear

  • A unifying approach to extremum seeking: Adaptive schemes based on estimation of derivatives

    D. Nesic;Y. Tan;W. H. Moase;C. Manzie

  • Extremum Seeking With Stochastic Perturbations

    C. Manzie;M. Krstic

  • Effects of moving the center's in an RBF network

    C. Panchapakesan;M. Palaniswami;D. Ralph;C. Manzie

  • Model predictive contouring control

    Denise Lam;Chris Manzie;Malcolm Good

  • Model Predictive Control for Lithium-Ion Battery Optimal Charging

    Changfu Zou;Chris Manzie;Dragan Nesic

  • Electromechanical Brake Modeling and Control: From PI to MPC

    C. Manzie;M.C. Good

  • The forced response of choked nozzles and supersonic diffusers

    William H. Moase;Michael J. Brear;Chris Manzie

  • Control Barrier Functions for Mechanical Systems: Theory and Application to Robotic Grasping

    Wenceslao Shaw Cortez;Denny Oetomo;Chris Manzie;Peter Choong

  • Unified frameworks for sampled-data extremum seeking control: Global optimisation and multi-unit systems

    Sei Zhen Khong;Dragan NešIć;Ying Tan;Chris Manzie

  • Model predictive control of velocity and torque split in a parallel hybrid vehicle

    Tae Soo Kim;Chris Manzie;Rahul Sharma

  • Model Predictive Control of a Fuel Injection System with a Radial Basis Function Network Observer

    Chris Manzie;Marimuthu Palaniswami;Daniel Ralph;Harry Watson

  • A Framework for Extremum Seeking Control of Systems With Parameter Uncertainties

    D. Nesic;A. Mohammadi;C. Manzie

  • Conventional, hybrid and electric vehicles for Australian driving conditions. Part 2: Life cycle CO2-e emissions

    Raj Hari Sharma;C Manzie;M Bessede;R H Crawford

  • Model Predictive Control for Reference Tracking on an Industrial Machine Tool Servo Drive

    M. A. Stephens;C. Manzie;M. C. Good

  • Extremum-seeking control of a supercritical carbon-dioxide closed Brayton cycle in a direct-heated solar thermal power plant

    Rajinesh Singh;Michael P. Kearney;Chris Manzie

  • Conventional, hybrid and electric vehicles for Australian driving conditions – Part 1: Technical and financial analysis

    Raj Hari Sharma;C Manzie;M Bessede;M J Brear

Frequent Co-Authors

Dragan Nesic
Dragan Nesic University of Melbourne
Iman Shames
Iman Shames Australian National University
Michael J. Brear
Michael J. Brear University of Melbourne
Ying Tan
Ying Tan Peking University
Peter F. M. Choong
Peter F. M. Choong University of Melbourne
Marimuthu Palaniswami
Marimuthu Palaniswami University of Melbourne
Eric C. Kerrigan
Eric C. Kerrigan Imperial College London
Andrew Ooi
Andrew Ooi University of Melbourne
Antonio Sciarretta
Antonio Sciarretta French Institute of Petroleum
Miroslav Krstic
Miroslav Krstic University of California, San Diego

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