World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
51
Citations
10909
World Ranking
2649
National Ranking
21

Computer Science

D-Index
58
Citations
13438
World Ranking
3633
National Ranking
32

Ganapati Panda 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 Ganapati Panda 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: 306 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Ganapati Panda 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 Ganapati Panda 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Ganapati Panda is affiliated with C. V. Raman Global University in India and has contributed extensively to research across multiple disciplines, primarily focusing on computer science, medicine, and engineering. Their work encompasses significant subfields such as signal processing, computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, as well as pulmonary and respiratory medicine.

The scientist has concentrated on several main topics throughout their career including:

  • Speech and Audio Processing
  • ECG Monitoring and Analysis
  • Phonocardiography and Auscultation Techniques
  • COVID-19 diagnosis using AI
  • Artificial Intelligence in Healthcare
  • EEG and Brain-Computer Interfaces
  • Blind Source Separation Techniques

Ganapati Panda's research has been published in various scholarly venues. Frequent publication outlets include:

  • SSRN Electronic Journal
  • IEEE Access
  • IEEE Sensors Letters
  • Biomedical Signal Processing and Control
  • Multimedia Tools and Applications

Recent papers authored or coauthored by Ganapati Panda illustrate a focus on biomedical signal processing and AI applications in healthcare. These include:

  • "Heart disease detection using deep learning methods from imbalanced ECG samples," 2021, Biomedical Signal Processing and Control
  • "Detection of COVID-19 from speech signal using bio-inspired based cepstral features," 2021, Pattern Recognition
  • "Lane detection under artificial colored light in tunnels and on highways: an IoT-based framework for smart city infrastructure," 2021, Complex & Intelligent Systems
  • "Gradient Boosting Machine and Efficient Combination of Features for Speech-Based Detection of COVID-19," 2022, IEEE Journal of Biomedical and Health Informatics
  • "Improved heart disease detection from ECG signal using deep learning based ensemble model," 2022, Sustainable Computing Informatics and Systems

Collaborations form an important part of their research contributions. Frequent coauthors of Ganapati Panda include:

  • Adyasha Rath
  • Tusar Kanti Dash
  • Suresh Chandra Satapathy
  • Prabodh Kumar Sahoo
  • Rajesh Kumar Tripathy

Ganapati Panda's body of work spans interdisciplinary research combining computing and medical sciences with an emphasis on the application of artificial intelligence techniques to healthcare challenges. Their academic output is characterized by a consistent engagement with emerging technologies in signal processing and disease diagnosis methods.

Best Publications

  • Power quality analysis using S-transform

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

  • A survey on nature inspired metaheuristic algorithms for partitional clustering

    Satyasai Jagannath Nanda;Ganapati Panda

  • Sentiment analysis of Twitter data for predicting stock market movements

    Venkata Sasank Pagolu;Kamal Nayan Reddy;Ganapati Panda;Babita Majhi

  • Identification of nonlinear dynamic systems using functional link artificial neural networks

    J.C. Patra;R.N. Pal;B.N. Chatterji;G. Panda

  • 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

  • Active mitigation of nonlinear noise Processes using a novel filtered-s LMS algorithm

    D.P. Das;G. Panda

  • Brief Communication: A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction

    Sitanshu Sekhar Sahu;Ganapati Panda

  • IIR system identification using cat swarm optimization

    Ganapati Panda;Pyari Mohan Pradhan;Babita Majhi

  • Nonlinear channel equalization for QAM signal constellation using artificial neural networks

    J.C. Patra;R.N. Pal;R. Baliarsingh;G. Panda

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

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

  • Solving multiobjective problems using cat swarm optimization

    Pyari Mohan Pradhan;Ganapati Panda

  • 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

  • Review: Advances in active noise control: A survey, with emphasis on recent nonlinear techniques

    Nithin V. George;Ganapati Panda

  • Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques

    Ritanjali Majhi;G. Panda;Babita Majhi;G. Sahoo

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

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

  • Development and performance evaluation of FLANN based model for forecasting of stock markets

    Ritanjali Majhi;G. Panda;G. Sahoo

  • A radial basis function neural network controller for UPFC

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

  • Artificial neural network-based nonlinearity estimation of pressure sensors

    J.C. Patra;G. Panda;R. Baliarsingh

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

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

Frequent Co-Authors

P.K. Dash
P.K. Dash Siksha O Anusandhan University
Subhransu Ranjan Samantaray
Subhransu Ranjan Samantaray Indian Institute of Technology Bhubaneswar
Bernard Mulgrew
Bernard Mulgrew University of Edinburgh
Nithin V. George
Nithin V. George Indian Institute of Technology Gandhinagar
Ashok Kumar Pradhan
Ashok Kumar Pradhan Indian Institute of Technology Kharagpur
Jagdish C. Patra
Jagdish C. Patra Swinburne University of Technology
Peter Grant
Peter Grant University of Edinburgh
Kristy F. Tiampo
Kristy F. Tiampo University of Colorado Boulder
A.C. Liew
A.C. Liew National University of Singapore

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Related Online Degrees & Career Pathways

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By combining technical skills with project management knowledge, graduates can enhance their qualifications and open doors to advanced roles in engineering and technology sectors.

For a better understanding of personality fit in these fields, check out insights on careers for introverts, which highlight the strengths introverted professionals bring to technical environments.

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