World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
12133
World Ranking
2172
National Ranking
847

Kevin L. Moore 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 Kevin L. Moore 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: 224 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Kevin L. Moore 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 Kevin L. Moore 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: 55 D-Index — 69th percentile

69% 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

  • 2014 - SPIE Fellow

Overview

Kevin L. Moore is affiliated with the Colorado School of Mines in the United States and has an extensive publication record primarily in the field of Medicine. Their research focuses significantly on Radiology, Nuclear Medicine and Imaging, Radiation, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, as well as Control and Systems Engineering.

The main topics covered in their body of work include:

  • Advanced Radiotherapy Techniques
  • Advances in Oncology and Radiotherapy
  • Cardiac Arrhythmias and Treatments
  • Radiomics and Machine Learning in Medical Imaging
  • Distributed Control Multi-Agent Systems
  • Medical Imaging Techniques and Applications
  • Endometrial and Cervical Cancer Treatments

Recent selected publications demonstrate a blend of topics ranging from radiotherapy protocols to computational methods in cardiac treatment. Notable papers include:

  • "Prospects for daily online adaptive radiotherapy via ethos for prostate cancer patients without nodal involvement using unedited CBCT auto-segmentation," 2021, Journal of Applied Clinical Medical Physics
  • "Dosimetric and feasibility evaluation of a CBCT-based daily adaptive radiotherapy protocol for locally advanced cervical cancer," 2022, Journal of Applied Clinical Medical Physics
  • "Opinion Dynamics With Cross-Coupling Topics: Modeling and Analysis," 2020, IEEE Transactions on Computational Social Systems
  • "Automated contouring and planning pipeline for hippocampal-avoidant whole-brain radiotherapy," 2020, Radiation Oncology
  • "Computational ECG mapping and respiratory gating to optimize stereotactic ablative radiotherapy workflow for refractory ventricular tachycardia," 2021, Heart Rhythm O2

Kevin L. Moore frequently publishes in several venues including:

  • International Journal of Radiation Oncology*Biology*Physics
  • arXiv (Cornell University)
  • Journal of Applied Clinical Medical Physics
  • Radiation Oncology
  • Circulation

Collaboration appears to play a significant role in their work, with frequent co-authors being:

  • Xenia Ray (11 co-authored papers)
  • Todd Atwood (11 co-authored papers)
  • Hyo-Sung Ahn (10 co-authored papers)
  • Arno J. Mundt (10 co-authored papers)
  • Jyoti Mayadev (8 co-authored papers)

Kevin L. Moore's contributions have been recognized through awards such as the SPIE Fellow designation awarded in 2014.

Best Publications

  • Iterative Learning Control: Brief Survey and Categorization

    Hyo-Sung Ahn;YangQuan Chen;K.L. Moore

  • Iterative Learning Control for Deterministic Systems

    Kevin L. Moore;M. Johnson;Michael J. Grimble

  • Discretization schemes for fractional-order differentiators and integrators

    Yang Quan Chen;K.L. Moore

  • Iterative Learning Control: An Expository Overview

    Kevin L. Moore

  • High-Order and Model Reference Consensus Algorithms in Cooperative Control of MultiVehicle Systems

    Wei Ren;Kevin L. Moore;Yangquan Chen

  • Iterative learning control and repetitive control in hard disk drive industry—A tutorial

    YangQuan Chen;Kevin L. Moore;Jie Yu;Tao Zhang

  • Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems

    Hyo-Sung Ahn;Kevin L. Moore;YangQuan Chen

  • Iterative learning control: A survey and new results

    Kevin L. Moore;Mohammed Dahleh;S. P. Bhattacharyya

  • Relay feedback tuning of robust PID controllers with iso-damping property

    YangQuan Chen;ChuanHua Hu;K.L. Moore

  • Robust Iterative Learning Control for Nonrepetitive Uncertain Systems

    Deyuan Meng;Kevin L. Moore

  • High-Order Consensus Algorithms in Cooperative Vehicle Systems

    Wei Ren;K. Moore;YangQuan Chen

  • Relay feedback tuning of robust PID controllers with iso-damping property

    YangQuan Chen;K.L. Moore

  • Brief paper: Stability analysis of discrete-time iterative learning control systems with interval uncertainty

    Hyo-Sung Ahn;Kevin L. Moore;YangQuan Chen

  • Slip surface localization in wireless sensor networks for landslide prediction

    Andreas Terzis;Annalingam Anandarajah;Kevin Moore;I-Jeng Wang

  • Monotonically convergent iterative learning control for linear discrete-time systems

    Kevin L. Moore;Yangquan Chen;Vikas Bahl

  • A six-wheeled omnidirectional autonomous mobile robot

    K.L. Moore;N.S. Flann

  • Trajectory‐keeping in satellite formation flying via robust periodic learning control

    Hyo-Sung Ahn;Kevin L. Moore;YangQuan Chen

  • Editorial: Special issue on iterative learning control

    Kevin L. Moore;Jian-Xin Xu

  • Learning to cooperate

    Deyuan Meng;Kevin L. Moore

  • A technique for choosing zero locations for minimal overshoot

    K.L. Moore;S.P. Bhattacharyya

  • Capabilities and limitations of multirate control schemes

    Kevin L. Moore;S. P. Bhattacharyya;Mohammed Dahleh

Frequent Co-Authors

YangQuan Chen
YangQuan Chen University of California, Merced
Hyo-Sung Ahn
Hyo-Sung Ahn Gwangju Institute of Science and Technology
Shankar P. Bhattacharyya
Shankar P. Bhattacharyya Texas A&M University
Gary J. Balas
Gary J. Balas University of Minnesota
Andreas Terzis
Andreas Terzis Google (United States)
Marco Lovera
Marco Lovera Polytechnic University of Milan
David H. Owens
David H. Owens University of Sheffield
Wei Ren
Wei Ren University of California, Riverside
Eric Rogers
Eric Rogers University of Southampton
Tao Zhang
Tao Zhang Chinese Academy of Sciences

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