World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
88
Citations
29423
World Ranking
329
National Ranking
155

Thomas G. Habetler 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 Thomas G. Habetler 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: 381 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Thomas G. Habetler 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 Thomas G. Habetler 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: 88 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Mechanical engineering
  • Voltage

His main research concerns Electronic engineering, Control theory, Stator, Voltage and Electrical engineering. His biological study spans a wide range of topics, including Power engineering, Electric power system and Power factor. His Control theory study combines topics from a wide range of disciplines, such as Fault, Pulse-width modulation and Inverter.

The study incorporates disciplines such as Induction motor, Torque and Rotor in addition to Stator. Thomas G. Habetler interconnects Electric motor and Squirrel-cage rotor in the investigation of issues within Rotor. His Voltage research integrates issues from Algorithm, Digital signal processing and Fault detection and isolation.

His most cited work include:

  • Design and implementation of an inverter output LC filter used for dv/dt reduction (127 citations)
  • A Nonintrusive and In-Service Motor Efficiency Estimation Method using Air-Gap Torque with Considerations of Condition Monitoring (102 citations)
  • An Open-Switch Fault Diagnosis Method for Single-Phase PWM Rectifier Using a Model-Based Approach in High-Speed Railway Electrical Traction Drive System (85 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Stator, Control theory, Induction motor, Rotor and Switched reluctance motor. His work deals with themes such as Control engineering, Torque, Electromagnetic coil, Fault and Condition monitoring, which intersect with Stator. His studies in Control theory integrate themes in fields like Vector control, Direct torque control and Inductance, Voltage.

His work carried out in the field of Induction motor brings together such families of science as Equivalent circuit, DC motor and Electric motor, AC motor. His Rotor research includes themes of Bar, Harmonics and Squirrel-cage rotor. Thomas G. Habetler works mostly in the field of Switched reluctance motor, limiting it down to topics relating to Robustness and, in certain cases, Magnet, as a part of the same area of interest.

He most often published in these fields:

  • Stator (38.62%)
  • Control theory (37.93%)
  • Induction motor (24.83%)

What were the highlights of his more recent work (between 2016-2019)?

  • Switched reluctance motor (19.31%)
  • Stator (38.62%)
  • Rotor (20.69%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Switched reluctance motor, Stator, Rotor, Control theory and Torque. His Switched reluctance motor research is multidisciplinary, incorporating elements of Torque density, Torque ripple, Mathematical optimization, Electronic engineering and Robustness. His Stator research is multidisciplinary, relying on both Permanent magnet synchronous generator, Magnet, Bearing and Electromagnetic coil.

His Control theory research includes elements of Fault, Phasor, Phasor measurement unit and Inductance. Thomas G. Habetler combines subjects such as Control engineering and Mechanical engineering with his study of Torque. His Induction motor study combines topics in areas such as Condition monitoring and Fault detection and isolation.

Between 2016 and 2019, his most popular works were:

  • Modeling, Design Optimization, and Applications of Switched Reluctance Machines—A Review (36 citations)
  • A review of condition monitoring of induction motors based on stray flux (28 citations)
  • Deep Learning Algorithms for Bearing Fault Diagnostics - A Review (16 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Mechanical engineering
  • Transformer

Thomas G. Habetler mainly focuses on Switched reluctance motor, Rotor, Stator, Automotive engineering and Torque ripple. As part of his inquiry into Torque and Control theory, he is doing Switched reluctance motor research. His Torque study integrates concerns from other disciplines, such as Limit, Electronic engineering, Optical switch, Electromagnetic coil and Rotary encoder.

His Stator research focuses on Bearing and how it relates to Condition monitoring, Fault, Current, Bar and Induction motor. His Automotive engineering research is multidisciplinary, incorporating perspectives in Control engineering and Robustness. The various areas that Thomas G. Habetler examines in his Torque ripple study include Artificial neural network, Multi-objective optimization, Particle swarm optimization, Mathematical optimization and Torque density.

Best Publications

  • Multilevel converters for large electric drives

    L.M. Tolbert;Fang Zheng Peng;T.G. Habetler

  • Direct torque control of induction machines using space vector modulation

    T.G. Habetler;F. Profumo;M. Pastorelli;L.M. Tolbert

  • A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors

    Pinjia Zhang;Yi Du;T G Habetler;Bin Lu

  • Deep Learning Algorithms for Bearing Fault Diagnosticsx—A Comprehensive Review

    Shen Zhang;Shibo Zhang;Bingnan Wang;Thomas G. Habetler

  • Novel multilevel inverter carrier-based PWM methods

    L.M. Tolbert;T.G. Habetler

  • Motor bearing damage detection using stator current monitoring

    R.R. Schoen;T.G. Habetler;F. Kamran;R.G. Bartfield

  • A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems

    S. Grubic;J.M. Aller;Bin Lu;T.G. Habetler

  • Multilevel PWM methods at low modulation indices

    L.M. Tolbert;Fang Zheng Peng;T.G. Habetler

  • A Survey of Methods for Detection of Stator-Related Faults in Induction Machines

    R.M. Tallam;Sang Bin Lee;G.C. Stone;G.B. Kliman

  • A space vector-based rectifier regulator for AC/DC/AC converters

    T.G. Habetler

  • Acoustic noise reduction in sinusoidal PWM drives using a randomly modulated carrier

    T.G. Habetler;D.M. Divan

  • Fault classification and fault signature production for rolling element bearings in electric machines

    J.R. Stack;T.G. Habetler;R.G. Harley

  • Transient model for induction machines with stator winding turn faults

    R.M. Tallam;T.G. Habetler;R.G. Harley

  • Effects of time-varying loads on rotor fault detection in induction machines

    R.R. Schoen;T.G. Habetler

  • An unsupervised, on-line system for induction motor fault detection using stator current monitoring

    R.R. Schoen;B.K. Lin;T.G. Habetler;J.H. Schlag

  • A survey of methods for monitoring and detecting thermal runaway of lithium-ion batteries

    Zhenghai Liao;Shen Zhang;Kang Li;Guoqiang Zhang

  • A robust, on-line turn-fault detection technique for induction machines based on monitoring the sequence component impedance matrix

    Sang Bin Lee;R.M. Tallam;T.G. Habetler

  • An amplitude Modulation detector for fault diagnosis in rolling element bearings

    J.R. Stack;R.G. Harley;T.G. Habetler

  • Detecting Rotor Faults in Low Power Permanent Magnet Synchronous Machines

    W. le Roux;R.G. Harley;T.G. Habetler

  • An on-line stator winding resistance estimation technique for temperature monitoring of line-connected induction machines

    Sang-Bin Lee;T.G. Habetler

Frequent Co-Authors

R.G. Harley
R.G. Harley Georgia Institute of Technology
Deepak Divan
Deepak Divan Georgia Institute of Technology
Sang Bin Lee
Sang Bin Lee Korea University
Leon M. Tolbert
Leon M. Tolbert University of Tennessee at Knoxville
Francesco Profumo
Francesco Profumo Polytechnic University of Turin
Fang Zheng Peng
Fang Zheng Peng University of Pittsburgh
Deepakraj M. Divan
Deepakraj M. Divan Georgia Institute of Technology
Gerald Burt Kliman
Gerald Burt Kliman Rensselaer Polytechnic Institute
Salman Mohagheghi
Salman Mohagheghi Colorado School of Mines
Koon Hoo Teo
Koon Hoo Teo Mitsubishi Electric (United States)

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