World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
8727
World Ranking
4418
National Ranking
230

Eric C. Kerrigan 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 Eric C. Kerrigan 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: 215 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Eric C. Kerrigan 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 Eric C. Kerrigan 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: 40 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Eric C. Kerrigan is affiliated with Imperial College London in the United Kingdom. Their research primarily spans the field of engineering, with a focus on control and systems engineering alongside related subfields including electrical and electronic engineering, computational mechanics, aerospace engineering, and numerical analysis.

The scientist has contributed extensively to the study of advanced control systems and optimization, fault detection and control systems, and advanced optimization algorithms. Their work further covers control systems and identification, building energy and comfort optimization, process optimization and integration, as well as computational fluid dynamics and aerodynamics.

Recent papers by Eric C. Kerrigan include:

  • Active flow control for bluff body drag reduction using reinforcement learning with partial measurements (2024) published in Journal of Fluid Mechanics
  • Data-Driven Predictive Control With Improved Performance Using Segmented Trajectories (2022) published in IEEE Transactions on Control Systems Technology
  • A simulated single ventilator/dual patient ventilation strategy for acute respiratory distress syndrome during the COVID-19 pandemic (2020) published in Royal Society Open Science
  • Improved noise covariance estimation in visual servoing using an autocovariance least-squares approach (2020) published in Mechatronics
  • Automatic scenario generation for efficient solution of robust optimal control problems (2023) published in International Journal of Robust and Nonlinear Control

Frequent co-authors of Kerrigan include:

  • Fabio Pasqualetti
  • W.P.M.H. Heemels
  • Magnus Egerstedt
  • Hideo Ishii
  • Development Beck

Eric C. Kerrigan publishes regularly in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Control Systems Technology
  • IFAC-PapersOnLine
  • IEEE Control Systems Letters

Best Publications

  • Invariant approximations of the minimal robust positively Invariant set

    S.V. Rakovic;E.C. Kerrigan;K.I. Kouramas;D.Q. Mayne

  • Optimization over state feedback policies for robust control with constraints

    Paul J. Goulart;Eric C. Kerrigan;Jan M. Maciejowski

  • Robust Constraint Satisfaction: Invariant Sets and Predictive Control

    Eric C. Kerrigan

  • Tube-based robust nonlinear model predictive control

    D. Q. Mayne;E. C. Kerrigan;E. J. van Wyk;P. Falugi

  • Move blocking strategies in receding horizon control

    R. Cagienard;P. Grieder;E.C. Kerrigan;M. Morari

  • Embedded Online Optimization for Model Predictive Control at Megahertz Rates

    Juan Luis Jerez;Paul J. Goulart;Stefan Richter;George A. Constantinides

  • Feedback min‐max model predictive control using a single linear program: robust stability and the explicit solution

    Eric C. Kerrigan;Jan M. Maciejowski

  • Soft constraints and exact penalty functions in model predictive control

    EC Kerrigan;JM Maciejowski

  • Invariant sets for constrained nonlinear discrete-time systems with application to feasibility in model predictive control

    E.C. Kerrigan;J.M. Maciejowski

  • Reachability analysis of discrete-time systems with disturbances

    S.V. Rakovic;E.C. Kerrigan;D.Q. Mayne;J. Lygeros

  • Optimal control of constrained, piecewise affine systems with bounded disturbances

    E.C. Kerrigan;D.Q. Mayne

  • Optimized robust control invariance for linear discrete-time systems: Theoretical foundations

    S. V. Raković;E. C. Kerrigan;D. Q. Mayne;K. I. Kouramas

  • Predictive Control Using an FPGA With Application to Aircraft Control

    Edward Nicholas Hartley;Juan Luis Jerez;Andrea Suardi;Jan M. Maciejowski

  • Designing model predictive controllers with prioritised constraints and objectives

    E.C. Kerrigan;J.M. Maciejowski

  • Optimal Active Control and Optimization of a Wave Energy Converter

    E. Abraham;E. C. Kerrigan

  • Optimizing Communication and Computation for Multi-UAV Information Gathering Applications

    Mason Thammawichai;Sujit P. Baliyarasimhuni;Eric C. Kerrigan;Joao B. Sousa

  • Technical communique: On the facet-to-facet property of solutions to convex parametric quadratic programs

    JøRgen SpjøTvold;Eric C. Kerrigan;Colin N. Jones;Petter TøNdel

  • Offset‐free receding horizon control of constrained linear systems

    Gabriele Pannocchia;Eric C. Kerrigan

  • Equality Set Projection: A new algorithm for the projection of polytopes in halfspace representation

    Colin Jones;E. C. Kerrigan;Jan Maciejowski

  • On the Minimal Robust Positively Invariant Set for Linear Difference Inclusions

    K.I. Kouramas;S.V. Rakovic;E.C. Kerrigan;J.C. Allwright

Frequent Co-Authors

George A. Constantinides
George A. Constantinides Imperial College London
Jan Maciejowski
Jan Maciejowski University of Cambridge
David Q. Mayne
David Q. Mayne Imperial College London
Paul J. Goulart
Paul J. Goulart University of Oxford
Colin N. Jones
Colin N. Jones École Polytechnique Fédérale de Lausanne
Rafael Palacios
Rafael Palacios Imperial College London
Deniz Gunduz
Deniz Gunduz Imperial College London
Chris Manzie
Chris Manzie University of Melbourne
Tor Arne Johansen
Tor Arne Johansen Norwegian University of Science and Technology
Manfred Morari
Manfred Morari University of Pennsylvania

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