World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
66
Citations
19352
World Ranking
1130
National Ranking
29

Ralph Kennel 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 Ralph Kennel 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: 693 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Ralph Kennel 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 Ralph Kennel 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: 66 D-Index — 84th percentile

84% 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

  • 2013 - IEEE PELS Harry A. Owen, Jr. Distinguished Service Award For dedicated services to IEEE PELS conferences, workshops and chapter activities around the globe

Overview

Ralph Kennel is affiliated with the Technical University of Munich in Germany. Their research primarily focuses on engineering, with a specific concentration in electrical and electronic engineering as well as control and systems engineering. They also engage in topics related to automotive engineering, renewable energy, sustainability, and mechanical engineering.

The principal themes of their scientific work include:

  • Multilevel Inverters and Converters
  • Advanced DC-DC Converters
  • Microgrid Control and Optimization
  • Sensorless Control of Electric Motors
  • Electric Motor Design and Analysis
  • Silicon Carbide Semiconductor Technologies
  • Photovoltaic System Optimization Techniques

Ralph Kennel has published frequently in several venues, notably:

  • IEEE Transactions on Power Electronics
  • IEEE Transactions on Industrial Electronics
  • Energies
  • 2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)
  • IEEE Journal of Emerging and Selected Topics in Power Electronics

Their recent papers include the following:

  • "Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges" (2020), published in IEEE Open Journal of Industry Applications
  • "Latest Advances of Model Predictive Control in Electrical Drives-Part I: Basic Concepts and Advanced Strategies" (2021), published in IEEE Transactions on Power Electronics
  • "Latest Advances of Model Predictive Control in Electrical Drives-Part II: Applications and Benchmarking With Classical Control Methods" (2021), published in IEEE Transactions on Power Electronics
  • "General Formulation of Kalman-Filter-Based Online Parameter Identification Methods for VSI-Fed PMSM" (2020), published in IEEE Transactions on Industrial Electronics
  • "Model-Predictive Control of Multilevel Inverters: Challenges, Recent Advances, and Trends" (2023), published in IEEE Transactions on Power Electronics

Ralph Kennel has collaborated extensively with several co-authors including:

  • Mohamed Abdelrahem
  • José Rodríguez
  • Fengxiang Wang
  • Ibrahim Harbi
  • Mostafa Ahmed

In 2013, they received the IEEE PELS Harry A. Owen, Jr. Distinguished Service Award for dedicated services to IEEE PELS conferences, workshops, and chapter activities globally.

Best Publications

  • Predictive Control in Power Electronics and Drives

    P. Cortes;M.P. Kazmierkowski;R.M. Kennel;D.E. Quevedo

  • High-Performance Control Strategies for Electrical Drives: An Experimental Assessment

    J. Rodriguez;R. M. Kennel;J. R. Espinoza;M. Trincado

  • Finite-Control-Set Model Predictive Torque Control With a Deadbeat Solution for PMSM Drives

    Wei Xie;Xiaocan Wang;Fengxiang Wang;Wei Xu

  • An Improved FCS–MPC Algorithm for an Induction Motor With an Imposed Optimized Weighting Factor

    S. A. Davari;D. A. Khaburi;R. Kennel

  • Latest Advances of Model Predictive Control in Electrical Drives. Part I: Basic Concepts and Advanced Strategies

    Jose Rodriguez;Cristian Garcia;Andres Mora;Freddy Flores-Bahamonde

  • Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges

    Petros Karamanakos;Eyke Liegmann;Tobias Geyer;Ralph Kennel

  • Model-Based Predictive Direct Control Strategies for Electrical Drives: An Experimental Evaluation of PTC and PCC Methods

    Fengxiang Wang;Shihua Li;Xuezhu Mei;Wei Xie

  • Deadbeat Model-Predictive Torque Control With Discrete Space-Vector Modulation for PMSM Drives

    Yuanlin Wang;Xiaocan Wang;Wei Xie;Fengxiang Wang

  • Sensorless speed and position control of synchronous machines using alternating carrier injection

    M. Linke;R. Kennel;J. Holtz

  • Latest Advances of Model Predictive Control in Electrical Drives. Part II: Applications and Benchmarking with Classical Control Methods

    Jose Rodriguez;Cristian Garcia;Andres Mora;Alireza Davari

  • Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control

    Fengxiang Wang;Zhenbin Zhang;Zhenbin Zhang;Xuezhu Mei;Xuezhu Mei;José Rodríguez

  • A Very Simple Strategy for High-Quality Performance of AC Machines Using Model Predictive Control

    Margarita Norambuena;Jose Rodriguez;Zhenbin Zhang;Fengxiang Wang

  • Generalized predictive control (GPC)-ready for use in drive applications?

    R. Kennel;A. Linder;M. Linke

  • Sensorless position control of permanent magnet synchronous machines without limitation at zero speed

    M. Linke;R. Kennel;J. Holtz

  • Model-Based Predictive Control of Electric Drives

    Arne Linder;Rahul Kanchan;Peter Stolze;Ralph Kennel

  • Using Full Order and Reduced Order Observers for Robust Sensorless Predictive Torque Control of Induction Motors

    S. A. Davari;D. A. Khaburi;Fengxiang Wang;R. M. Kennel

  • Multiple-Vector Model Predictive Power Control for Grid-Tied Wind Turbine System With Enhanced Steady-State Control Performance

    Zhenbin Zhang;Hui Fang;Feng Gao;Jose Rodriguez

  • General Formulation of Kalman-Filter-Based Online Parameter Identification Methods for VSI-Fed PMSM

    Xinyue Li;Ralph Kennel

  • Robust Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems With Revised Predictions

    Zhenbin Zhang;Zhen Li;Marian P. Kazmierkowski;Jose Rodriguez

  • Predictive control of inverter supplied electrical drives

    Unknown

  • Model predictive control -- a simple and powerful method to control power converters

    Jose Rodriguez;Patricio Cortes;Ralph Kennel;Marian Kazrnierkowski

  • Predictive control in power electronics and drives

    Ralph Kennel;Marian Kazmierkowski;Jose Rodriguez;Patricio Cortes

Frequent Co-Authors

Fengxiang Wang
Fengxiang Wang Chinese Academy of Sciences
Christoph M. Hackl
Christoph M. Hackl Munich University of Applied Sciences
Jose Rodriguez
Jose Rodriguez San Sebastián University
Tobias Geyer
Tobias Geyer ABB (Switzerland)
Joachim Holtz
Joachim Holtz University of Wuppertal
Stefanos Manias
Stefanos Manias National Technical University of Athens
Maarten J. Kamper
Maarten J. Kamper Stellenbosch University
Haitham Abu-Rub
Haitham Abu-Rub Hamad bin Khalifa University
Marian P. Kazmierkowski
Marian P. Kazmierkowski Warsaw University of Technology
Patricio Cortes
Patricio Cortes Federico Santa María Technical University

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