World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
73
Citations
17799
World Ranking
778
National Ranking
44

Om P. Malik 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 Om P. Malik 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: 583 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Om P. Malik 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 Om P. Malik 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: 73 D-Index — 89th percentile

89% 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

  • 1987 - IEEE Fellow For contributions to real-time digital control and protection of synchronous machines.
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Control theory
  • Statistics

His main research concerns Control theory, Electric power system, Control engineering, Electrical network and Adaptive control. His work deals with themes such as Permanent magnet synchronous generator and Power system simulation, which intersect with Control theory. The concepts of his Electric power system study are interwoven with issues in Control system, Linear system, Variable structure system, Variable structure control and Expert system.

He interconnects Synchronous motor, Artificial neural network, Automatic frequency control, Fuzzy logic and Transient response in the investigation of issues within Control engineering. Om P. Malik combines subjects such as Facility location problem, Demand forecasting, Row and Capacitor with his study of Electrical network. His research integrates issues of Adaptive algorithm and Pole shift hypothesis in his study of Adaptive control.

His most cited work include:

  • A review of wind power and wind speed forecasting methods with different time horizons (466 citations)
  • Risk-based distributed generation placement (188 citations)
  • Load-Flow Solutions for Ill-Conditioned Power Systems by a Newton-Like Method (176 citations)

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

Om P. Malik mainly focuses on Control theory, Electric power system, Control engineering, Control theory and Electronic engineering. His research in Control theory intersects with topics in Artificial neural network and Permanent magnet synchronous generator. His Electric power system study combines topics in areas such as Electrical network, Control and Identification, System identification.

His study explores the link between Control engineering and topics such as Microprocessor that cross with problems in Software. His Electronic engineering research incorporates elements of Relay and Fault, Transmission line, Electric power transmission, Electrical engineering. His Electric power transmission research incorporates themes from Protective relay and Power-system protection.

He most often published in these fields:

  • Control theory (56.59%)
  • Electric power system (42.64%)
  • Control engineering (34.11%)

What were the highlights of his more recent work (between 2011-2021)?

  • Control theory (56.59%)
  • Electric power system (42.64%)
  • Control engineering (34.11%)

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

His scientific interests lie mostly in Control theory, Electric power system, Control engineering, Control theory and Fuzzy logic. His Control theory research integrates issues from Induction motor, Transformer and Stator. His studies in Stator integrate themes in fields like Voltage, Synchronous motor and Riccati equation.

Many of his research projects under Electric power system are closely connected to Governor with Governor, tying the diverse disciplines of science together. Om P. Malik has included themes like Control system and Computation in his Control engineering study. His research integrates issues of Artificial neural network, Genetic algorithm and Particle swarm optimization in his study of Fuzzy logic.

Between 2011 and 2021, his most popular works were:

  • Congestion management using demand response and FACTS devices (107 citations)
  • Short term load forecast using fuzzy logic and wavelet transform integrated generalized neural network (90 citations)
  • Electric Distribution Systems (69 citations)

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

  • Electrical engineering
  • Control theory
  • Statistics

His primary scientific interests are in Control theory, Mathematical optimization, Fuzzy logic, Electric power system and Control engineering. Om P. Malik integrates several fields in his works, including Control theory and Power optimizer. In general Mathematical optimization, his work in Optimization algorithm and Optimization problem is often linked to Profit linking many areas of study.

His work on Fuzzy control system as part of general Fuzzy logic study is frequently linked to Double star, therefore connecting diverse disciplines of science. The concepts of his Electric power system study are interwoven with issues in Electricity, Series expansion, Estimator, Signal and Least squares. Om P. Malik is interested in Control theory, which is a branch of Control engineering.

Best Publications

  • A review of wind power and wind speed forecasting methods with different time horizons

    Saurabh S. Soman;Hamidreza Zareipour;Om Malik;Paras Mandal

  • Power System Stabilizer Based on Adaptive Control Techniques

    A. Ghosh;G. Ledwich;O. P. Malik;G. S. Hope

  • Load-Flow Solutions for Ill-Conditioned Power Systems by a Newton-Like Method

    S. C. Tripathy;G. Durga Prasad;O. P. Malik;G. S. Hope

  • Risk-based distributed generation placement

    M.-R. Haghifam;H. Falaghi;O.P. Malik

  • High impedance fault detection based on wavelet transform and statistical pattern recognition

    A.-R. Sedighi;M.-R. Haghifam;O.P. Malik;M.-H. Ghassemian

  • An artificial neural network based adaptive power system stabilizer

    Y. Zhang;G.P. Chen;O.P. Malik;G.S. Hope

  • A fuzzy logic based stabilizer for a synchronous machine

    M.A.M. Hassan;O.P. Malik;G.S. Hope

  • Transmission line distance protection based on wavelet transform

    A.H. Osman;O.P. Malik

  • Hybrid Traveling Wave/Boundary Protection for Monopolar HVDC Line

    Xiaolei Liu;A.H. Osman;O.P. Malik

  • An Adaptive Synchronous Machine Stabilizer

    Shi-jie Cheng;Y. S. Chow;O. P. Malik;G. S. Hope

  • Multiple Model Predictive Control for Wind Turbines With Doubly Fed Induction Generators

    M Soliman;O P Malik;D T Westwick

  • Improved operation of differential protection of power transformers for internal faults

    Pei Liu;O.P. Malik;Deshu Chen;G.S. Hope

  • Wind Energy Conversion Using A Self-Excited Induction Generator

    G. Raina;O. P. Malik

  • Congestion management using demand response and FACTS devices

    A. Yousefi;Tien Nguyen;H. Zareipour;O.P. Malik

  • Identification of physical parameters of a synchronous Generator from online measurements

    M. Karrari;O.P. Malik

  • Study of wavelet-based ultra high speed directional transmission line protection

    Wei Chen;O.P. Malik;Xianggen Yin;Deshu Chen

  • Genetic algorithm-based approach for fixed and switchable capacitors placement in distribution systems with uncertainty and time varying loads

    M.-r. Haghifam;O.P. Malik

  • Robust decentralized neural networks based LFC in a deregulated power system

    H. Shayeghi;H.A. Shayanfar;O.P. Malik

  • An adaptive power system stabilizer based on the self-optimizing pole shifting control strategy

    G.P. Chen;O.P. Malik;G.S. Hope;Y.H. Qin

  • Expert systems in electric power systems-a bibliographical survey

    Z. Z. Zhang;G. S. Hope;O. P. Malik

Frequent Co-Authors

William Rosehart
William Rosehart University of Calgary
Prem Kalra
Prem Kalra Indian Institute of Technology Delhi
Denis Dochain
Denis Dochain Université Catholique de Louvain
Wolfgang Marquardt
Wolfgang Marquardt RWTH Aachen University
Arindam Ghosh
Arindam Ghosh Curtin University
Tongwen Chen
Tongwen Chen University of Alberta
Majid Sanaye-Pasand
Majid Sanaye-Pasand University of Tehran
Gerard Ledwich
Gerard Ledwich Queensland University of Technology
Hamidreza Zareipour
Hamidreza Zareipour University of Calgary
Jan Lunze
Jan Lunze Ruhr University Bochum

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