World's Best Scientists 2026 revealed!
Rene de Jesus Romero-Troncoso

Rene de Jesus Romero-Troncoso

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
8221
World Ranking
3398
National Ranking
8

Rene de Jesus Romero-Troncoso 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 Rene de Jesus Romero-Troncoso 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: 241 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Rene de Jesus Romero-Troncoso 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 Rene de Jesus Romero-Troncoso 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: 46 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Rene de Jesus Romero-Troncoso is affiliated with the Autonomous University of Queretaro in Mexico. Their primary field of study is engineering, with significant contributions in subfields including control and systems engineering, electrical and electronic engineering, mechanical engineering, civil and structural engineering, and electronic, optical and magnetic materials.

The scientist's research work focuses on a range of topics, prominently featuring machine fault diagnosis techniques, power quality and harmonics, magnetic properties and applications, gear and bearing dynamics analysis, fault detection and control systems, structural health monitoring techniques, and power transformer diagnostics and insulation.

Recent publications by Rene de Jesus Romero-Troncoso include:

  • Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review, 2021, IEEE Transactions on Industrial Informatics
  • Early Detection of Faults in Induction Motors-A Review, 2022, Energies
  • Industrial Data-Driven Monitoring Based on Incremental Learning Applied to the Detection of Novel Faults, 2020, IEEE Transactions on Industrial Informatics
  • Automatic diagnosis of electromechanical faults in induction motors based on the transient analysis of the stray flux via MUSIC methods, 2020, IEEE Transactions on Industry Applications
  • Condition monitoring strategy based on an optimized selection of high-dimensional set of hybrid features to diagnose and detect multiple and combined faults in an induction motor, 2021, Measurement

They have published extensively in several venues, with frequent contributions to:

  • Energies
  • IEEE Transactions on Industry Applications
  • IEEE Transactions on Industrial Informatics
  • Applied Sciences
  • 2022 International Conference on Electrical Machines (ICEM)

Collaboration is a notable aspect of their research career. Frequent co-authors include Daniel Moríñigo-Sotelo, Roque A. Osornio-Rios, Tomas Garcia-Calva, David A. Elvira-Ortiz, and Juan José Saucedo-Dorantes.

Best Publications

  • Detection and Classification of Single and Combined Power Quality Disturbances Using Neural Networks

    Martin Valtierra-Rodriguez;Rene de Jesus Romero-Troncoso;Roque Alfredo Osornio-Rios;Arturo Garcia-Perez

  • Methodology for fault detection in induction motors via sound and vibration signals

    Paulo Antonio Delgado-Arredondo;Daniel Morinigo-Sotelo;Roque Alfredo Osornio-Rios;Juan Gabriel Avina-Cervantes

  • Techniques and methodologies for power quality analysis and disturbances classification in power systems: a review

    David Granados-Lieberman;R.J. Romero-Troncoso;R.A. Osornio-Rios;A. Garcia-Perez

  • Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings

    Carlos A. Perez-Ramirez;Juan P. Amezquita-Sanchez;Martin Valtierra-Rodriguez;Hojjat Adeli

  • The Application of High-Resolution Spectral Analysis for Identifying Multiple Combined Faults in Induction Motors

    A Garcia-Perez;Rene de Jesus Romero-Troncoso;E Cabal-Yepez;R A Osornio-Rios

  • Automatic Online Diagnosis Algorithm for Broken-Bar Detection on Induction Motors Based on Discrete Wavelet Transform for FPGA Implementation

    Unknown

  • Reconfigurable Monitoring System for Time-Frequency Analysis on Industrial Equipment Through STFT and DWT

    E. Cabal-Yepez;A. G. Garcia-Ramirez;Rene J. Romero-Troncoso;A. Garcia-Perez

  • New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform

    Carlos A. Perez-Ramirez;Juan Pablo Amezquita-Sanchez;Hojjat Adeli;Martin Valtierra-Rodriguez

  • Recent Industrial Applications of Infrared Thermography: A Review

    Roque Alfredo Osornio-Rios;Jose Alfonso Antonino-Daviu;Rene de Jesus Romero-Troncoso

  • FPGA-Based Online Detection of Multiple Combined Faults in Induction Motors Through Information Entropy and Fuzzy Inference

    Rene J. Romero-Troncoso;R. Saucedo-Gallaga;E. Cabal-Yepez;A. Garcia-Perez

  • PID-Controller Tuning Optimization with Genetic Algorithms in Servo Systems

    Arturo Y. Jaen-Cuellar;Rene de J. Romero-Troncoso;Luis Morales-Velazquez;Roque A. Osornio-Rios

  • Early Fault Detection in Induction Motors Using AdaBoost With Imbalanced Small Data and Optimized Sampling

    Ignacio Martin-Diaz;Daniel Morinigo-Sotelo;Oscar Duque-Perez;Rene de J. Romero-Troncoso

  • Sensorless tool failure monitoring system for drilling machines

    Luis Alfonso Franco-Gasca;Gilberto Herrera-Ruiz;Rocío Peniche-Vera;René de Jesús Romero-Troncoso

  • Fault detection in induction motors and the impact on the kinematic chain through thermographic analysis

    Armando Guadalupe Garcia-Ramirez;Luis Alberto Morales-Hernandez;Roque Alfredo Osornio-Rios;Juan Primo Benitez-Rangel

  • Novel Methodology for Online Half-Broken-Bar Detection on Induction Motors

    J. Rangel-Magdaleno;R. Romero-Troncoso;R.A. Osornio-Rios;E. Cabal-Yepez

  • Multirate Signal Processing to Improve FFT-Based Analysis for Detecting Faults in Induction Motors

    Rene de Jesus Romero-Troncoso

  • Smart sensor network for power quality monitoring in electrical installations

    Luis Morales-Velazquez;Rene de Jesus Romero-Troncoso;Gilberto Herrera-Ruiz;Daniel Morinigo-Sotelo

  • Novel Downsampling Empirical Mode Decomposition Approach for Power Quality Analysis

    David Camarena-Martinez;Martin Valtierra-Rodriguez;Carlos Andres Perez-Ramirez;Juan Pablo Amezquita-Sanchez

  • Multifault Diagnosis Method Applied to an Electric Machine Based on High-Dimensional Feature Reduction

    Juan Jose Saucedo-Dorantes;Miguel Delgado-Prieto;Roque Alfredo Osornio-Rios;Rene de Jesus Romero-Troncoso

  • Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review

    Israel Zamudio-Ramirez;Roque A Alfredo Osornio-Rios;Jose Alfonso Antonino-Daviu;Hubert Razik

  • An Experimental Comparative Evaluation of Machine Learning Techniques for Motor Fault Diagnosis Under Various Operating Conditions

    Ignacio Martin-Diaz;Daniel Morinigo-Sotelo;Oscar Duque-Perez;Rene J. Romero-Troncoso

  • Evaluation of the Detectability of Electromechanical Faults in Induction Motors Via Transient Analysis of the Stray Flux

    Juan A. Ramirez-Nunez;Jose A. Antonino-Daviu;Vicente Climente-Alarcon;Alfredo Quijano-Lopez

Frequent Co-Authors

Roque Alfredo Osornio-Rios
Roque Alfredo Osornio-Rios Autonomous University of Queretaro
Jose A. Antonino-Daviu
Jose A. Antonino-Daviu Universitat Politècnica de València
Irineo Torres-Pacheco
Irineo Torres-Pacheco Autonomous University of Queretaro
Hojjat Adeli
Hojjat Adeli The Ohio State University
Ramin Sedaghati
Ramin Sedaghati Concordia University
Bernabé Linares-Barranco
Bernabé Linares-Barranco University of Seville

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