World's Best Scientists 2026 revealed!
Demba Diallo

Demba Diallo

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
7458
World Ranking
5458
National Ranking
108

Demba Diallo 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 Demba Diallo 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: 244 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Demba Diallo 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 Demba Diallo 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: 35 D-Index — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Overview

Demba Diallo is affiliated with CentraleSupélec in France and has conducted extensive research primarily in the field of engineering. Their scholarly work focuses on several subfields including Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Automotive Engineering, and Mechanical Engineering.

The scientist's research covers a series of topics centered on energy systems, fault diagnosis techniques, and optimization processes. Key topics of study include:

  • Machine Fault Diagnosis Techniques
  • Photovoltaic System Optimization Techniques
  • Advanced Battery Technologies Research
  • Microgrid Control and Optimization
  • Fault Detection and Control Systems
  • Multilevel Inverters and Converters
  • Advancements in Battery Materials

Their recent papers illustrate a concentrated interest in photovoltaic technology, fault diagnosis, and battery management systems. Some of the recent publications include:

  • Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review (2020), Renewable and Sustainable Energy Reviews
  • Fault diagnosis of photovoltaic panels using full I-V characteristics and machine learning techniques (2021), Energy Conversion and Management
  • A Degradation Empirical-Model-Free Battery End-of-Life Prediction Framework Based on Gaussian Process Regression and Kalman Filter (2022), IEEE Transactions on Transportation Electrification
  • A review of current issues of marine current turbine blade fault detection (2020), Ocean Engineering
  • Incipient short-circuit fault diagnosis of lithium-ion batteries (2020), Journal of Energy Storage

Demba Diallo has published multiple papers in several frequent venues, including:

  • Energy Conversion and Management
  • IEEE Transactions on Transportation Electrification
  • Ocean Engineering
  • Control Engineering Practice
  • IEEE Access

Collaboration is an important aspect of their research activities. Some of the most frequent co-authors they have worked with are:

  • Claude Delpha
  • Tianzhen Wang
  • Anne Migan-Dubois
  • Jianwen Meng
  • Baojie Li

Best Publications

  • Electric Motor Drive Selection Issues for HEV Propulsion Systems: A Comparative Study

    M. Zeraoulia;M.E.H. Benbouzid;D. Diallo

  • A Loss-Minimization DTC Scheme for EV Induction Motors

    A. Haddoun;M.E.H. Benbouzid;D. Diallo;R. Abdessemed

  • A Fuzzy-Based Approach for the Diagnosis of Fault Modes in a Voltage-Fed PWM Inverter Induction Motor Drive

    F. Zidani;D. Diallo;M. El Hachemi Benbouzid;R. Nait-Said

  • Fault detection and diagnosis in an induction Machine drive: a pattern recognition approach based on concordia stator mean current vector

    D. Diallo;M.E.H. Benbouzid;D. Hamad;X. Pierre

  • A fault-tolerant control architecture for induction motor drives in automotive applications

    D. Diallo;M.E.H. Benbouzid;A. Makouf

  • Advanced Fault-Tolerant Control of Induction-Motor Drives for EV/HEV Traction Applications: From Conventional to Modern and Intelligent Control Techniques

    M.E.H. Benbouzid;D. Diallo;M. Zeraoulia

  • Induction motor stator faults diagnosis by a current Concordia pattern-based fuzzy decision system

    F. Zidani;M.E.H. Benbouzid;D. Diallo;M.S. Nait-Said

  • A loss-minimization DTC scheme for EV induction motors

    A. Haddoun;M.E.H. Benbouzid;D. Diallo;R. Abdessemed

  • Design of a Fault-Tolerant Controller Based on Observers for a PMSM Drive

    Ahmad Akrad;Mickaël Hilairet;Demba Diallo

  • Incipient fault detection and diagnosis based on Kullback-Leibler divergence using principal component analysis

    Jinane Harmouche;Claude Delpha;Demba Diallo

  • Modeling, Analysis, and Neural Network Control of an EV Electrical Differential

    A. Haddoun;M. El Hachemi Benbouzid;D. Diallo;R. Abdessemed

  • Incipient fault detection and diagnosis based on Kullback–Leibler divergence using Principal Component Analysis: Part I

    Unknown

  • Improved Fault Diagnosis of Ball Bearings Based on the Global Spectrum of Vibration Signals

    Jinane Harmouche;Claude Delpha;Demba Diallo

  • Two Active Fault-Tolerant Control Schemes of Induction-Motor Drive in EV or HEV

    A. Raisemche;M. Boukhnifer;C. Larouci;Demba Diallo

  • An optimal fault detection threshold for early detection using Kullback-Leibler Divergence for unknown distribution data

    Abdulrahman Youssef;Claude Delpha;Demba Diallo

  • A robust hybrid current control for permanent-magnet synchronous motor drive

    M. Kadjoudj;M.E.H. Benbouzid;C. Ghennai;D. Diallo

  • PMSM Drive Position Estimation: Contribution to the High-Frequency Injection Voltage Selection Issue

    Slimane Medjmadj;Demba Diallo;Mohammed Mostefai;Claude Delpha

  • Fault diagnosis of photovoltaic panels using full I–V characteristics and machine learning techniques

    Baojie Li;Claude Delpha;Anne Migan-Dubois;Demba Diallo

  • An imbalance fault detection method based on data normalization and EMD for marine current turbines.

    Milu Zhang;Tianzhen Wang;Tianhao Tang;Mohamed Benbouzid

  • Direct torque control of induction motor with fuzzy stator resistance adaptation

    F. Zidani;D. Diallo;M.E.H. Benbouzid;R. Nait-Said

  • A review of current issues of marine current turbine blade fault detection

    Tao Xie;Tianzhen Wang;Qianqian He;Demba Diallo;Demba Diallo

  • FDI based on Artificial Neural Network for Low-Voltage-Ride-Through in DFIG-based Wind Turbine.

    Amel Adouni;Dhia Chariag;Demba Diallo;Mouna Ben Hamed

  • Electric motor drive selection issues for HEV propulsion systems: a comparative study

    M. Zeraouila;M.E.H. Benbouzid;D. Diallo

Frequent Co-Authors

Mohamed Benbouzid
Mohamed Benbouzid University of Western Brittany
Romeo Ortega
Romeo Ortega Instituto Tecnológico Autónomo de México
Gerard-Andre Capolino
Gerard-Andre Capolino University of Picardie Jules Verne

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