World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
11558
World Ranking
2394
National Ranking
128

Eric Rogers 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 Rogers 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: 814 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Eric Rogers 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 Rogers 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: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Overview

Eric Rogers is affiliated with the University of Southampton in the United Kingdom. Their research focuses primarily on engineering, with a substantial body of work in Control and Systems Engineering, Mechanical Engineering, and Ocean Engineering. Additional areas include Biomedical Engineering and Atmospheric Science.

The main topics covered in their work include:

  • Iterative Learning Control Systems
  • Piezoelectric Actuators and Control
  • Advanced Machining Processes and Optimization
  • Control Systems in Engineering
  • Underwater Vehicles and Communication Systems
  • Advanced Surface Polishing Techniques
  • Underwater Acoustics Research

Eric Rogers has contributed to numerous publication venues, frequently appearing in:

  • IEEE Transactions on Automatic Control
  • IFAC-PapersOnLine
  • IEEE Transactions on Control of Network Systems
  • International Journal of Control
  • IEEE Transactions on Control Systems Technology

Recent papers authored by related researchers or coauthors with connections to Eric Rogers include:

  • Repetitive process based indirect-type iterative learning control for batch processes with model uncertainty and input delay, 2023, Journal of Process Control
  • A Limited Area Modeling Capability for the Finite-Volume Cubed-Sphere (FV3) Dynamical Core and Comparison With a Global Two-Way Nest, 2021, Journal of Advances in Modeling Earth Systems
  • Terrain-Aided Navigation With Coarse Maps-Toward an Arctic Crossing With an AUV, 2021, IEEE Journal of Oceanic Engineering
  • DELPHIN2: AN OVER ACTUATED AUTONOMOUS UNDERWATER VEHICLE FOR MANOEUVRING RESEARCH, 2021, The International Journal of Maritime Engineering
  • Terrain-aided navigation for long-range AUVs in dynamic under-mapped environments, 2020, Journal of Field Robotics

Frequent coauthors include:

  • Magnus Egerstedt
  • Y Ebihara
  • Sophie Tarbouriech
  • Jeff S. Shamma
  • Rodolphe Sepulchre

Best Publications

  • Control Systems Theory and Applications for Linear Repetitive Processes

    Eric Rogers;Krzysztof Galkowski;D. H. Owens

  • Iterative learning control for discrete-time systems with exponential rate of convergence

    N. Amann;D.H. Owens;E. Rogers

  • Stability Analysis for Linear Repetitive Processes

    E. T. A. Rogers;D. H. Owens

  • Iterative learning control using optimal feedback and feedforward actions

    Notker Amann;David H. Owens;Eric Rogers

  • Predictive optimal iterative learning control

    Notker Amann;David H. Owens;Eric Rogers

  • Iterative Learning Control in Health Care: Electrical Stimulation and Robotic-Assisted Upper-Limb Stroke Rehabilitation

    Chris T. Freeman;Eric Rogers;Ann-Marie Hughes;Jane H. Burridge

  • Non-linear iterative learning by an adaptive Lyapunov technique

    M. French;E. Rogers

  • Experimentally supported 2D systems based iterative learning control law design for error convergence and performance

    Lukasz Hladowski;Krzysztof Galkowski;Zhonglun Cai;Eric Rogers

  • A Cascade MPC Control Structure for a PMSM With Speed Ripple Minimization

    Shan Chai;Liuping Wang;E. Rogers

  • Iterative learning control of FES applied to the upper extremity for rehabilitation

    Christopher Freeman;Ann-Marie Hughes;Jane Burridge;Paul Chappell

  • Analysis of Linear Iterative Learning Control Schemes -A 2D Systems/Repetitive Processes Approach

    D. H. Owens;N. Amann;E. Rogers;M. French

  • LMIs - a fundamental tool in analysis and controller design for discrete linear repetitive processes

    K. Galkowski;E. Rogers;S. Xu;J. Lam

  • Norm-Optimal Iterative Learning Control Applied to Gantry Robots for Automation Applications

    J.D. Ratcliffe;P.L. Lewin;E. Rogers;J.J. Hatonen

  • Identification of electrically stimulated muscle models of stroke patients

    Fengmin Le;Ivan Markovsky;Christopher T. Freeman;Eric Rogers

  • Model predictive control of a permanent magnet synchronous motor with experimental validation

    Shan Chai;Liuping Wang;Eric Rogers

  • Feasibility of Iterative Learning Control Mediated by Functional Electrical Stimulation for Reaching After Stroke

    A.M. Hughes;C.T. Freeman;J.H. Burridge;P.H. Chappell

  • Iterative Learning Control for Multiple Point-to-Point Tracking Application

    C T Freeman;Zhonglun Cai;E Rogers;P L Lewin

  • The application of precisely controlled functional electrical stimulation to the shoulder, elbow and wrist for upper limb stroke rehabilitation: a feasibility study

    Katie L. Meadmore;Timothy A. Exell;Emma Hallewell;Ann Marie Hughes

  • Stability and control of differential linear repetitive processes using an LMI setting.

    Krzysztof Galkowski;Wojciech Paszke;Eric Rogers;Shengyuan Xu

  • Robust finite frequency range iterative learning control design and experimental verification

    Wojciech Paszke;Eric Rogers;Krzysztof Gałkowski;Zhonglun Cai

  • Functional electrical stimulation mediated by iterative learning control and 3D robotics reduces motor impairment in chronic stroke

    Katie L Meadmore;Ann-Marie Hughes;Chris T Freeman;Zhonglun Cai

Frequent Co-Authors

Krzysztof Galkowski
Krzysztof Galkowski University of Zielona Góra
Chris Freeman
Chris Freeman Bangor University
David H. Owens
David H. Owens University of Sheffield
Paul Lewin
Paul Lewin University of Southampton
Guglielmo S. Aglietti
Guglielmo S. Aglietti University of Auckland
Liuping Wang
Liuping Wang RMIT University
James Lam
James Lam University of Hong Kong
Robin S. Langley
Robin S. Langley University of Cambridge
Yun Li
Yun Li University of Electronic Science and Technology of China
Csaba Szepesvári
Csaba Szepesvári University of Alberta

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