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Girijesh Prasad

D-Index & Metrics

Computer Science

D-Index
42
Citations
6992
World Ranking
8433
National Ranking
510

Girijesh Prasad publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Girijesh Prasad sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 280 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Girijesh Prasad D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Girijesh Prasad sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 42 D-Index — 43rd percentile

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

The last bar groups every scientist with 131 D-Index or more.

Overview

Girijesh Prasad is affiliated with the University of Ulster in the United Kingdom. Their research primarily focuses on neuroscience and medicine, with a strong emphasis on cognitive neuroscience and applications of artificial intelligence. The work engages deeply with EEG and brain-computer interface technologies, neural dynamics, and functional brain connectivity studies.

The scientist's publication record includes contributions to topics such as:

  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Dementia and Cognitive Impairment Research
  • Neuroscience and Neural Engineering
  • Gaze Tracking and Assistive Technology
  • Machine Learning in Healthcare

Prasad has published extensively in fields closely related to neuroscience with 59 publications, and medicine with 27 publications. Their subfields of study include cognitive neuroscience, artificial intelligence, psychiatry and mental health, electrical and electronic engineering, and cellular and molecular neuroscience.

The scientist's recent papers include:

  • "An automatic subject specific channel selection method for enhancing motor imagery classification in EEG-BCI using correlation" (2021), published in Biomedical Signal Processing and Control
  • "Effects of maternal folic acid supplementation during the second and third trimesters of pregnancy on neurocognitive development in the child: an 11-year follow-up from a randomised controlled trial" (2021), published in BMC Medicine
  • "Deep Learning Based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces" (2020), published in Frontiers in Neuroscience
  • "Neurofeedback with low-cost, wearable electroencephalography (EEG) reduces symptoms in chronic Post-Traumatic Stress Disorder" (2021), published in Journal of Affective Disorders
  • "Assessing impact of channel selection on decoding of motor and cognitive imagery from MEG data" (2020), published in Journal of Neural Engineering

The frequent co-authors collaborating with Girijesh Prasad include:

  • KongFatt Wong-Lin
  • Niamh McCombe
  • Paula L. McClean
  • David P. Finn
  • Stephen Todd

Publications have appeared repeatedly in venues such as bioRxiv (Cold Spring Harbor Laboratory), Multimedia Tools and Applications, arXiv (Cornell University), Annual Conference of the PHM Society, and Biomedical Signal Processing and Control.

Best Publications

  • Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study

    Girijesh Prasad;Pawel Herman;Damien Coyle;Suzanne McDonough

  • Comparative Analysis of Spectral Approaches to Feature Extraction for EEG-Based Motor Imagery Classification

    P. Herman;G. Prasad;T.M. McGinnity;D. Coyle

  • An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network

    Gang Leng;Thomas Martin McGinnity;Girijesh Prasad

  • An on-line algorithm for creating self-organizing fuzzy neural networks

    Gang Leng;Girijesh Prasad;Thomas Martin McGinnity

  • A Multi-class EEG-based BCI classification using Multivariate Empirical Mode Decomposition Based Filtering and Riemannian Geometry

    Pramod Gaur;Ram Bilas Pachori;Hui Wang;Girijesh Prasad

  • Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms

    Gang Leng;T.M. McGinnity;G. Prasad

  • Statistical and computational intelligence techniques for inferential model development: a comparative evaluation and a novel proposition for fusion

    K. Warne;G. Prasad;S. Rezvani;L. Maguire

  • Quantum Neural Network-Based EEG Filtering for a Brain–Computer Interface

    Vaibhav Gandhi;Girijesh Prasad;Damien Coyle;Laxmidhar Behera

  • Electrophysiological signatures of intentional social coordination in the 10–12 Hz range

    Muhammad Naeem;Girijesh Prasad;David R. Watson;J.A. Scott Kelso;J.A. Scott Kelso

  • A time-series prediction approach for feature extraction in a brain-computer interface

    D. Coyle;G. Prasad;T.M. McGinnity

  • EEG-Based Mobile Robot Control Through an Adaptive Brain–Robot Interface

    Vaibhav Gandhi;Girijesh Prasad;Damien Coyle;Laxmidhar Behera

  • A Local Model Networks Based Multivariable Long-Range Predictive Control Strategy for Thermal Power Plants

    G. Prasad;E. Swidenbank;B. W. Hogg

  • EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments

    Haider Raza;Girijesh Prasad;Yuhua Li

  • Adaptive learning with covariate shift-detection for motor imagery-based brain---computer interface

    Haider Raza;Hubert Cecotti;Yuhua Li;Girijesh Prasad

  • A neural net model-based multivariable long-range predictive control strategy applied in thermal power plant control

    G. Prasad;E. Swidenbank;B.W. Hogg

  • Faster Self-Organizing Fuzzy Neural Network Training and a Hyperparameter Analysis for a Brain–Computer Interface

    D. Coyle;G. Prasad;T.M. McGinnity

  • M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective

    Su Yang;Jose Miguel Sanchez Bornot;Kongfatt Wong-Lin;Girijesh Prasad

  • An Automatic Subject Specific Intrinsic Mode Function Selection for Enhancing Two-Class EEG-Based Motor Imagery-Brain Computer Interface

    Pramod Gaur;Ram Bilas Pachori;Hui Wang;Girijesh Prasad

  • A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual.

    Magda Bucholc;Xuemei Ding;Haiying;HY Wang

  • Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface

    Haider Raza;Dheeraj Rathee;Shang-Ming Zhou;Hubert Cecotti

  • An empirical mode decomposition based filtering method for classification of motor-imagery EEG signals for enhancing brain-computer interface

    Pramod Gaur;Ram Bilas Pachori;Hui Wang;Girijesh Prasad

  • A time-frequency approach to feature extraction for a brain-computer interface with a comparative analysis of performance measures

    Damien Coyle;Girijesh Prasad;T. M. McGinnity

  • Bispectrum-based feature extraction technique for devising a practical brain?computer interface

    Shahjahan Shahid;Girijesh Prasad

Frequent Co-Authors

TM McGinnity
TM McGinnity University of Ulster
Damien Coyle
Damien Coyle University of Ulster
Liam Maguire
Liam Maguire University of Ulster
Laxmidhar Behera
Laxmidhar Behera Indian Institute of Technology Kanpur
Hui Wang
Hui Wang University of Ulster
David P. Finn
David P. Finn University of Galway
Ram Bilas Pachori
Ram Bilas Pachori Indian Institute of Technology Indore
J. A. Scott Kelso
J. A. Scott Kelso Florida Atlantic University
George W. Irwin
George W. Irwin Queen's University Belfast
Christian Hölscher
Christian Hölscher Henan University

External Links

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Best Scientists Citing Girijesh Prasad

Amit Konar

Amit Konar

Jadavpur University

Publications: 28

Xiao-Jun Zeng

Xiao-Jun Zeng

University of Manchester

Publications: 23

Damien Coyle

Damien Coyle

University of Ulster

Publications: 23

Plamen Angelov

Plamen Angelov

Lancaster University

Publications: 22

Cuntai Guan

Cuntai Guan

Nanyang Technological University

Publications: 22

Liam Maguire

Liam Maguire

University of Ulster

Publications: 22

Junfei Qiao

Junfei Qiao

Beijing University of Technology

Publications: 19

Meng Joo Er

Meng Joo Er

Dalian Maritime University

Publications: 18

Kwang Y. Lee

Kwang Y. Lee

Baylor University

Publications: 18

TM McGinnity

TM McGinnity

University of Ulster

Publications: 17

Edwin Lughofer

Edwin Lughofer

Johannes Kepler University of Linz

Publications: 17

Chin-Teng Lin

Chin-Teng Lin

University of Technology Sydney

Publications: 15

Kai Keng Ang

Kai Keng Ang

A*STAR - Agency for Science, Technology and Research

Publications: 15

Fabien Lotte

Fabien Lotte

French Institute for Research in Computer Science and Automation - INRIA

Publications: 14

Fernando Gomide

Fernando Gomide

State University of Campinas

Publications: 14

Andrzej Cichocki

Andrzej Cichocki

Systems Research Institute

Publications: 14

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