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Ganesh K. Venayagamoorthy

Ganesh K. Venayagamoorthy

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
71
Citations
22226
World Ranking
847
National Ranking
367

Ganesh K. Venayagamoorthy 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 Ganesh K. Venayagamoorthy 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: 470 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Ganesh K. Venayagamoorthy 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 Ganesh K. Venayagamoorthy 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: 71 D-Index — 88th percentile

88% 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

  • 2021 - IEEE Fellow For contributions to the application of artificial intelligence to power systems

Overview

Ganesh K. Venayagamoorthy is affiliated with Clemson University in the United States. Their research primarily focuses on engineering, with a significant emphasis on electrical and electronic engineering, control and systems engineering, automotive engineering, artificial intelligence, and computer networks and communications.

Their work encompasses several main topics, including:

  • Power System Optimization and Stability
  • Smart Grid Energy Management
  • Microgrid Control and Optimization
  • Smart Grid Security and Resilience
  • Optimal Power Flow Distribution
  • Electric and Hybrid Vehicle Technologies
  • Power Systems and Renewable Energy

Recent publications by Ganesh K. Venayagamoorthy include:

  • Development of an IoT-Driven Building Environment for Prediction of Electric Energy Consumption, 2020, IEEE Internet of Things Journal
  • Fuel cell technology review: Types, economy, applications, and vehicle-to-grid scheme, 2025, Sustainable Energy Technologies and Assessments
  • Edge Computing and Adaptive Fault-Tolerant Tracking Control Algorithm for Smart Buildings: A Case Study, 2020, Cybernetics & Systems
  • Distributed Demand Response Management for a Virtually Connected Community With Solar Power, 2022, IEEE Access
  • Resilient and Sustainable Tie-Line Bias Control for a Power System in Uncertain Environments, 2020, IEEE Transactions on Emerging Topics in Computational Intelligence

Frequent co-authors include:

  • Dulip Madurasinghe
  • Hasala Dharmawardena
  • Chirath Pathiravasam
  • Xingsi Zhong
  • Rajan Ratnakumar

Their publications often appear in the following venues:

  • IEEE Access
  • IET Generation Transmission & Distribution
  • Energies
  • IEEE Internet of Things Journal
  • Sustainable Energy Technologies and Assessments

Ganesh K. Venayagamoorthy was recognized as an IEEE Fellow in 2021 for contributions to the application of artificial intelligence to power systems.

Best Publications

  • Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems

    Y. del Valle;G.K. Venayagamoorthy;S. Mohagheghi;J.-C. Hernandez

  • Plug-in Vehicles and Renewable Energy Sources for Cost and Emission Reductions

    A Y Saber;G K Venayagamoorthy

  • Computational Intelligence in Wireless Sensor Networks: A Survey

    R V Kulkarni;A Förster;G K Venayagamoorthy

  • Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey

    R V Kulkarni;G K Venayagamoorthy

  • Review of Internet of Things (IoT) in Electric Power and Energy Systems

    Guneet Bedi;Ganesh Kumar Venayagamoorthy;Rajendra Singh;Richard R. Brooks

  • Comparison of particle swarm optimization and backpropagation as training algorithms for neural networks

    V.G. Gudise;G.K. Venayagamoorthy

  • Real-Time Implementation of a STATCOM on a Wind Farm Equipped with Doubly Fed Induction Generators

    Wei Qiao;Ganesh Venayagamoorthy;Ronald Harley

  • Intelligent unit commitment with vehicle-to-grid —A cost-emission optimization

    Ahmed Yousuf Saber;Ganesh Kumar Venayagamoorthy

  • Resource Scheduling Under Uncertainty in a Smart Grid With Renewables and Plug-in Vehicles

    A. Y. Saber;G. K. Venayagamoorthy

  • Dynamic Energy Management System for a Smart Microgrid

    Ganesh Kumar Venayagamoorthy;Ratnesh K. Sharma;Prajwal K. Gautam;Afshin Ahmadi

  • Intelligent Scheduling of Hybrid and Electric Vehicle Storage Capacity in a Parking Lot for Profit Maximization in Grid Power Transactions

    C. Hutson;G.K. Venayagamoorthy;K.A. Corzine

  • Recognition of facial expressions using Gabor wavelets and learning vector quantization

    Shishir Bashyal;Ganesh K. Venayagamoorthy

  • Coordinated reactive power control of a large wind farm and a STATCOM using heuristic dynamic programming

    Wei Qiao;Ronald Harley;Ganesh Venayagamoorthy

  • Comparison of heuristic dynamic programming and dual heuristic programming adaptive critics for neurocontrol of a turbogenerator

    G.K. Venayagamoorthy;R.G. Harley;D.C. Wunsch

  • Bio-inspired Algorithms for Autonomous Deployment and Localization of Sensor Nodes

    R V Kulkarni;G K Venayagamoorthy

  • Optimal PSO for collective robotic search applications

    S. Doctor;G.K. Venayagamoorthy;V.G. Gudise

  • Efficient Utilization of Renewable Energy Sources by Gridable Vehicles in Cyber-Physical Energy Systems

    A Y Saber;G K Venayagamoorthy

  • Multiple Reference Frame-Based Control of Three-Phase PWM Boost Rectifiers under Unbalanced and Distorted Input Conditions

    Peng Xiao;K.A. Corzine;G.K. Venayagamoorthy

  • Bio-inspired Algorithms for the Design of Multiple Optimal Power System Stabilizers: SPPSO and BFA

    T.K. Das;G.K. Venayagamoorthy;U.O. Aliyu

  • An Adaptive Control Strategy for DSTATCOM Applications in an Electric Ship Power System

    P. Mitra;G.K. Venayagamoorthy

  • Differential evolution particle swarm optimization for digital filter design

    B. Luitel;G.K. Venayagamoorthy

Frequent Co-Authors

R.G. Harley
R.G. Harley Georgia Institute of Technology
Keith Corzine
Keith Corzine University of California, Santa Cruz
Salman Mohagheghi
Salman Mohagheghi Colorado School of Mines
Donald C. Wunsch
Donald C. Wunsch Missouri University of Science and Technology
Wei Qiao
Wei Qiao University of Nebraska–Lincoln
Richard R. Brooks
Richard R. Brooks Clemson University
Mariesa L. Crow
Mariesa L. Crow Missouri University of Science and Technology
Zita Vale
Zita Vale Polytechnic Institute of Porto
Jung-Wook Park
Jung-Wook Park Yonsei University
Joao Soares
Joao Soares International Student Exchange Programs

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