World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
India
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
67
Citations
15264
World Ranking
1097
National Ranking
3

P.K. Dash 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 P.K. Dash 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: 410 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

P.K. Dash 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 P.K. Dash 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: 67 D-Index — 85th percentile

85% 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

  • 2026 - Research.com Electronics and Electrical Engineering in India Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in India Leader Award
  • 2023 - Research.com Electronics and Electrical Engineering in India Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in India Leader Award
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)

Overview

P.K. Dash is affiliated with Siksha O Anusandhan University in India and has contributed extensively to the field of engineering, with a primary focus on Electrical and Electronic Engineering. Their research spans multiple subfields including Control and Systems Engineering, Artificial Intelligence, Cognitive Neuroscience, and Renewable Energy, Sustainability and the Environment.

The scientist's work covers a range of topics including Microgrid Control and Optimization, Energy Load and Power Forecasting, Machine Learning and Extreme Learning Machines (ELM), Power Quality and Harmonics, EEG and Brain-Computer Interfaces, Islanding Detection in Power Systems, and Machine Fault Diagnosis Techniques.

Frequent co-authors include:

  • Ranjeeta Bisoi
  • Mrutyunjaya Sahani
  • Eluri N.V.D.V. Prasad
  • Kanche Anjaiah
  • Sthita Prajna Mishra

P.K. Dash has published in a variety of academic venues, with several recurring journals and conferences:

  • Applied Soft Computing
  • Applied Energy
  • Engineering Applications of Artificial Intelligence
  • International Transactions on Electrical Energy Systems
  • Electrical Engineering

Recently published papers by the scientist include:

  • "Adaptive VMD based optimized deep learning mixed kernel ELM autoencoder for single and multistep wind power forecasting," 2021, Energy
  • "A real-time power quality events recognition using variational mode decomposition and online-sequential extreme learning machine," 2020, Measurement
  • "Short term solar power forecasting using hybrid minimum variance expanded RVFLN and Sine-Cosine Levy Flight PSO algorithm," 2021, Renewable Energy
  • "FPGA implementation of epileptic seizure detection using semisupervised reduced deep convolutional neural network," 2021, Applied Soft Computing
  • "FPGA-Based Deep Convolutional Neural Network of Process Adaptive VMD Data With Online Sequential RVFLN for Power Quality Events Recognition," 2020, IEEE Transactions on Power Electronics

The scientist's contributions have been acknowledged with the distinction of Fellow of the Indian National Academy of Engineering (INAE).

Best Publications

  • Power quality analysis using S-transform

    P. E. K. Dash;B. K. Panigrahi;G. Panda

  • Multiresolution S-transform-based fuzzy recognition system for power quality events

    M.V. Chilukuri;P.K. Dash

  • Fault Classification and Section Identification of an Advanced Series-Compensated Transmission Line Using Support Vector Machine

    P.K. Dash;S.R. Samantaray;G. Panda

  • Frequency estimation of distorted power system signals using extended complex Kalman filter

    P.K. Dash;A.K. Pradhan;G. Panda

  • Fault Detection and Location of Photovoltaic Based DC Microgrid Using Differential Protection Strategy

    Snehamoy Dhar;R. K. Patnaik;P. K. Dash

  • Power Quality Disturbance Classification Using Fuzzy C-Means Algorithm and Adaptive Particle Swarm Optimization

    B. Biswal;P.K. Dash;B.K. Panigrahi

  • S-transform-based intelligent system for classification of power quality disturbance signals

    I.W.C. Lee;P.K. Dash

  • An adaptive linear combiner for on-line tracking of power system harmonics

    P.K. Dash;D.P. Swain;A.C. Liew;S. Rahman

  • An extended complex Kalman filter for frequency measurement of distorted signals

    P.K. Dash;R.K. Jena;G. Panda;A. Routray

  • Power quality disturbance data compression, detection, and classification using integrated spline wavelet and S-transform

    P.K. Dash;B.K. Panigrahi;D.K. Sahoo;G. Panda

  • Classification of power system disturbances using a fuzzy expert system and a Fourier linear combiner

    P.K. Dash;S. Mishra;M.A. Salama;A.C. Liew

  • Adaptive relay setting for flexible AC transmission systems (FACTS)

    P.K. Dash;A.K. Pradhan;G. Panda;A.C. Liew

  • Detection and characterization of multiple power quality disturbances with a fast S-transform and decision tree based classifier

    Milan Biswal;P. K. Dash

  • A radial basis function neural network controller for UPFC

    P.K. Dash;S. Mishra;G. Panda

  • An extended complex Kalman filter for frequency measurement of distorted signals

    P.K. Dash;G. Panda;A.K. Pradhan;A. Routray

  • A novel fuzzy neural network based distance relaying scheme

    P.K. Dash;A.K. Pradhan;G. Panda

  • High impedance fault detection in power distribution networks using time-frequency transform and probabilistic neural network

    S.R. Samantaray;B.K. Panigrahi;P.K. Dash

  • Application of nonlinear control to switched reluctance motors: a feedback linearisation approach

    S.K. Panda;P.K. Dash

  • A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter

    Ranjeeta Bisoi;Pradipta K. Dash

  • Digital protection of power transmission lines in the presence of series connected FACTS devices

    P.K. Dash;A.K. Pradhan;G. Panda;A.C. Liew

  • Damping multimodal power system oscillation using a hybrid fuzzy controller for series connected FACTS devices

    P.K. Dash;S. Mishra;G. Panda

Frequent Co-Authors

Ganapati Panda
Ganapati Panda C. V. Raman Global University
A.C. Liew
A.C. Liew National University of Singapore
Sanjib Kumar Panda
Sanjib Kumar Panda National University of Singapore
Subhransu Ranjan Samantaray
Subhransu Ranjan Samantaray Indian Institute of Technology Bhubaneswar
Ashok Kumar Pradhan
Ashok Kumar Pradhan Indian Institute of Technology Kharagpur
Aurobinda Routray
Aurobinda Routray Indian Institute of Technology Kharagpur
Saifur Rahman
Saifur Rahman Virginia Tech
Sukumar Mishra
Sukumar Mishra Indian Institute of Technology Delhi
Magdy M. A. Salama
Magdy M. A. Salama University of Waterloo
Bijaya Ketan Panigrahi
Bijaya Ketan Panigrahi Indian Institute of Technology Delhi

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