World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
4774
World Ranking
6048
National Ranking
91

A. P. Vinod 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 A. P. Vinod 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: 249 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

A. P. Vinod 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 A. P. Vinod 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: 33 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Overview

A. P. Vinod is affiliated with the Singapore Institute of Technology in Singapore and has a focused research profile within the field of neuroscience. Their work primarily intersects neuroscience with engineering disciplines, particularly emphasizing brain-computer interfaces and neural signal processing.

Their publication record spans diverse topics including cognitive neuroscience and biomedical engineering, with frequent contributions to areas such as EEG and brain-computer interfaces, neural dynamics, and assistive technologies. The main fields and subfields of their research are as follows:

  • Neuroscience
  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Human-Computer Interaction

Their research topics cover:

  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Gaze Tracking and Assistive Technology
  • Neural dynamics and brain function
  • GaN-based semiconductor devices and materials
  • Analog and Mixed-Signal Circuit Design
  • Advanced Memory and Neural Computing

Several recent papers highlight their ongoing investigations in brain-computer interface technologies and neural decoding methodologies. Notable publications include:

  • FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface, 2021, arXiv (Cornell University)
  • Motor Imagery Hand Movement Direction Decoding Using Brain Computer Interface to Aid Stroke Recovery and Rehabilitation, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • High accuracy decoding of motor imagery directions from EEG-based brain computer interface using filter bank spatially regularised common spatial pattern method, 2021, Biomedical Signal Processing and Control
  • Drowsiness detection using portable wireless EEG, 2021, Computer Methods and Programs in Biomedicine
  • Cognitive Workload Estimation Using Variational Autoencoder and Attention-Based Deep Model, 2022, IEEE Transactions on Cognitive and Developmental Systems

Their work is frequently published in venues such as Biomedical Signal Processing and Control and arXiv, with additional contributions to IEEE Systems Man and Cybernetics Magazine, Biomedical Physics & Engineering Express, and the 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT).

  • Biomedical Signal Processing and Control
  • arXiv (Cornell University)
  • IEEE Systems Man and Cybernetics Magazine
  • Biomedical Physics & Engineering Express
  • 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)

Collaborations are a significant aspect of their research activities. Frequent co-authors include:

  • G. Amarnath
  • Praveen K. Parashiva
  • Okyay Kaynak
  • Chen Chen
  • Saeid Nahavandi

Best Publications

  • A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain–Computer Interfaces

    K.P. Thomas;Cuntai Guan;Chiew Tong Lau;A.P. Vinod

  • New Reconfigurable Architectures for Implementing FIR Filters With Low Complexity

    R. Mahesh;A.P. Vinod

  • A New Common Subexpression Elimination Algorithm for Realizing Low-Complexity Higher Order Digital Filters

    R. Mahesh;A.P. Vinod

  • EEG-Based Classification of Fast and Slow Hand Movements Using Wavelet-CSP Algorithm

    Neethu Robinson;A. P. Vinod;Kai Keng Ang;Keng Peng Tee

  • Design of Reversible Sequential Elements With Feasibility of Transistor Implementation

    H. Thapliyal;A.P. Vinod

  • Coefficient decimation approach for realizing reconfigurable finite impulse response filters

    R. Mahesh;A.P. Vinod

  • Information Theoretic Approach to Complexity Reduction of FIR Filter Design

    Chip-Hong Chang;Jiajia Chen;A.P. Vinod

  • Low power and high-speed implementation of fir filters for software defined radio receivers

    A.P. Vinod;E.M.-K. Lai

  • Reconfigurable Frequency Response Masking Filters for Software Radio Channelization

    R. Mahesh;A.P. Vinod

  • EEG-Based Biometric Authentication Using Gamma Band Power During Rest State

    Kavitha P Thomas;A. P. Vinod

  • Multi-class EEG classification of voluntary hand movement directions.

    Neethu Robinson;Cuntai Guan;A P Vinod;Kai Keng Ang

  • Filter Bank Channelizers for Multi-Standard Software Defined Radio Receivers

    R. Mahesh;A. P. Vinod;Edmund M-K. Lai;Amos Omondi

  • Low complexity flexible filter banks for uniform and non-uniform channelisation in software radios using coefficient decimation

    R. Mahesh;A.P. Vinod

  • Design of an online EEG based neurofeedback game for enhancing attention and memory

    Kavitha P. Thomas;A. P. Vinod;Cuntai Guan

  • An adaptive threshold based energy detector for spectrum sensing in cognitive radios at low SNR

    R Nair Prashob;A. P. Vinod;Anoop Kumar Krishna

  • On the implementation of efficient channel filters for wideband receivers by optimizing common subexpression elimination methods

    A.P. Vinod;E.M.-K. Lai

  • FIR filter implementation by efficient sharing of horizontal and vertical common subexpressions

    A. P. Vinod;Edmund M-K. Lai;A. B. Premkumar;C. T. Lau

  • Reconfigurable Low Area Complexity Filter Bank Architecture Based on Frequency Response Masking for Nonuniform Channelization in Software Radio Receivers

    R Mahesh;A P Vinod

  • Motor Imagery Hand Movement Direction Decoding Using Brain Computer Interface to Aid Stroke Recovery and Rehabilitation

    V. K. Benzy;A. P. Vinod;R. Subasree;Suvarna Alladi

  • A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface

    Ravikiran Mane;Neethu Robinson;A. P. Vinod;Seong-Whan Lee

  • A MEMORYLESS REVERSE CONVERTER FOR THE 4-MODULI SUPERSET {2n - 1, 2n, 2n + 1, 2n + 1 - 1}

    A. P. Vinod

  • Toward EEG-Based Biometric Systems: The Great Potential of Brain-Wave-Based Biometrics

    Kavitha P. Thomas;A.P. Vinod

Frequent Co-Authors

Cuntai Guan
Cuntai Guan Nanyang Technological University
Pramod Kumar Meher
Pramod Kumar Meher Sandhaan Labs Private Limited
Kai Keng Ang
Kai Keng Ang A*STAR - Agency for Science, Technology and Research
Chip-Hong Chang
Chip-Hong Chang Nanyang Technological University
Douglas L. Maskell
Douglas L. Maskell Nanyang Technological University
Jagdish C. Patra
Jagdish C. Patra Swinburne University of Technology
Honggang Zhang
Honggang Zhang Zhejiang University
Himanshu Thapliyal
Himanshu Thapliyal University of Tennessee at Knoxville
Suhaib A. Fahmy
Suhaib A. Fahmy King Abdullah University of Science and Technology
Shahriar Mirabbasi
Shahriar Mirabbasi University of British Columbia

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