World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
64
Citations
13892
World Ranking
1669
National Ranking
542

Kenneth A. Loparo 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 Kenneth A. Loparo 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: 408 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Kenneth A. Loparo 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 Kenneth A. Loparo 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: 64 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2015 - Fellow of the Indian National Academy of Engineering (INAE)
  • 1999 - IEEE Fellow For contributions to stochastic stability and control theory with applications to engineering systems.

Overview

Kenneth A. Loparo is affiliated with Case Western Reserve University in the United States. Their work spans multiple disciplines with a primary focus on engineering and medicine. The scientist has contributed extensively to electrical and electronic engineering, neurology, control and systems engineering, cognitive neuroscience, and biomedical engineering.

The main topics covered in Loparo's research include Parkinson's Disease mechanisms and treatments, smart grid energy management, neurological disorders and treatments, microgrid control and optimization, neuroscience and neural engineering, heart rate variability and autonomic control, and EEG and brain-computer interfaces.

Recent notable publications by Loparo include:

  • BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • A Highly Digital Multiantenna Ground-Penetrating Radar (GPR) System, 2020, IEEE Transactions on Instrumentation and Measurement
  • α-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States, 2020, IEEE Journal of Biomedical and Health Informatics
  • Voltage Regulation of DC-Microgrid With PV and Battery, 2020, IEEE Transactions on Smart Grid
  • INSMA: An integrated system for multimodal data acquisition and analysis in the intensive care unit, 2020, Journal of Biomedical Informatics

Loparo often collaborates with a number of frequent co-authors, including Farhad Kaffashi, Luka Strezoski, Jiang Wang, Amirhossein Sajadi, and Molly McVoy.

The venues in which Loparo publishes reflect their interdisciplinary focus and include arXiv (Cornell University), SLEEP, IEEE Transactions on Power Systems, Journal of the American Academy of Child & Adolescent Psychiatry, and IEEE Journal of Biomedical and Health Informatics.

Loparo has been recognized with several distinctions such as being named a Fellow of the Indian National Academy of Engineering in 2015 and an IEEE Fellow in 1999 for contributions to stochastic stability and control theory with applications to engineering systems.

Best Publications

  • Stochastic stability properties of jump linear systems

    X. Feng;K.A. Loparo;Y. Ji;H.J. Chizeck

  • Bearing fault diagnosis based on wavelet transform and fuzzy inference

    Xinsheng Lou;Kenneth A Loparo

  • Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling : A method for bearing prognostics

    Hasan Ocak;Kenneth A. Loparo;Fred M. Discenzo

  • Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons

    Shuangming Yang;Bin Deng;Jiang Wang;Huiyan Li

  • Analysis of the value for unit commitment of improved load forecasts

    B.F. Hobbs;S. Jitprapaikulsarn;S. Konda;V. Chankong

  • Tool wear condition monitoring in drilling operations using hidden Markov models (HMMs)

    Huseyin M. Ertunc;Kenneth A. Loparo;Hasan Ocak

  • Stochastic stability of jump linear systems

    Yuguang Fang;K.A. Loparo

  • System til detektering og fölgning af vågenhed og dösighed

    Kaplan Frederic Richard;Loparo Kenneth Alan

  • A neural-network approach to fault detection and diagnosis in industrial processes

    Y. Maki;K.A. Loparo

  • Stabilization of continuous-time jump linear systems

    Yuguang Fang;K.A. Loparo

  • Estimation of the running speed and bearing defect frequencies of an induction motor from vibration data

    Hasan Ocak;Kenneth A Loparo

  • Machine diagnostic system and method for vibration analysis

    Carl J. Dister;Frederick M. Discenzo;Kenneth A. Loparo

  • A new bearing fault detection and diagnosis scheme based on hidden Markov modeling of vibration signals

    H. Ocak;K.A. Loparo

  • Physically based diagnosis and prognosis of cracked rotor shafts

    Charles H. Oppenheimer;Kenneth A. Loparo

  • BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture.

    Shuangming Yang;Jiang Wang;Xinyu Hao;Huiyan Li

  • Voltage and Frequency Regulation of Microgrid With Battery Energy Storage Systems

    Huiying Zhao;Mingguo Hong;Wei Lin;Kenneth A. Loparo

  • Motorized system integrated control and diagnostics using vibration, pressure, temperature, speed, and/or current analysis

    Frederick M. Discenzo;Dukki Chung;Joseph K. Zevchek;Jan Bezdicek

  • HMM-Based Fault Detection and Diagnosis Scheme for Rolling Element Bearings

    Hasan Ocak;Kenneth A. Loparo

  • Intelligent fluid sensor for machinery diagnostics, prognostics, and control

    Frederick M. Discenzo;Dukki Chung;Martin W. Kendig;Kenneth A. Loparo

  • The effect of time delay on Approximate & Sample Entropy calculations

    Farhad Kaffashi;Ryan Foglyano;Christopher G. Wilson;Kenneth A. Loparo

  • Fault detection and diagnosis of rotating machinery

    K.A. Loparo;M.L. Adams;W. Lin;M.F. Abdel-Magied

  • Inequalities for the trace of matrix product

    Yuguang Fang;K.A. Loparo;Xiangbo Feng

  • Artificial Intelligence, Simulation, and Modeling

    Lawrence E. Widman;Kenneth A. Loparo

Frequent Co-Authors

Samden D. Lhatoo
Samden D. Lhatoo The University of Texas Health Science Center at Houston
Susan Redline
Susan Redline Brigham and Women's Hospital
Yuguang Fang
Yuguang Fang City University of Hong Kong
Bin Deng
Bin Deng Tianjin University
Wei Lin
Wei Lin Case Western Reserve University
Kingman P. Strohl
Kingman P. Strohl Case Western Reserve University
Timothy J. Kinsella
Timothy J. Kinsella Brown University
Soo-Jin Park
Soo-Jin Park Inha University
Katie L. Stone
Katie L. Stone University of California, San Francisco
Shaun Purcell
Shaun Purcell Harvard Medical School

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