World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8074
World Ranking
7577
National Ranking
240

Vinod Chandran 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 Vinod Chandran 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: 258 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Vinod Chandran 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 Vinod Chandran 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Vinod Chandran is affiliated with the Queensland University of Technology in Australia. Their research spans multiple fields, primarily focusing on computer science and medicine. Within these domains, their work addresses several subfields including computer vision and pattern recognition, signal processing, cardiology and cardiovascular medicine, experimental and cognitive psychology, and artificial intelligence.

Their research topics cover a diverse range of areas such as biometric identification and security, ECG monitoring and analysis, face recognition and analysis, digital imaging for blood diseases, AI applications in cancer detection, sleep and work-related fatigue, and heart rate variability and autonomic control.

Vinod Chandran has contributed to several recent papers published in reputable venues, including:

  • Automatic Emotion Recognition Using Temporal Multimodal Deep Learning, 2020, IEEE Access
  • Segmentation of White Blood Cell, Nucleus and Cytoplasm in Digital Haematology Microscope Images: A Review-Challenges, Current and Future Potential Techniques, 2020, IEEE Reviews in Biomedical Engineering
  • Fingerprint Systems: Sensors, Image Acquisition, Interoperability and Challenges, 2023, Sensors
  • 3D Face Tracking Using Stereo Cameras: A Review, 2020, IEEE Access
  • Driver stress levels detection system using hyperparameter optimization, 2022, Journal of Intelligent Transportation Systems

The frequent co-authors collaborating with Vinod Chandran include Jasmine Banks, Bahareh Nakisa, Mohammad Naim Rastgoo, Andry Rakotonirainy, and Frédéric Maire. These collaborations indicate a network of researchers involved in similar or complementary domains.

Vinod Chandran's publications are often found in venues such as IEEE Access, Sensors, IEEE Reviews in Biomedical Engineering, Journal of Intelligent Transportation Systems, and Evolutionary Intelligence, reflecting interdisciplinary interests spanning engineering and biomedical fields.

Best Publications

  • Facial Expression Analysis under Partial Occlusion: A Survey

    Ligang Zhang;Brijesh Verma;Dian Tjondronegoro;Vinod Chandran

  • Application of higher order statistics/spectra in biomedical signals—A review

    Kuang Chua Chua;Vinod Chandran;U. Rajendra Acharya;Choo Min Lim

  • Pattern Recognition Using Invariants Defined From Higher Order Spectra- One Dimensional Inputs

    V. Chandran;S.L. Elgar

  • Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors

    Bahareh Nakisa;Mohammad Naim Rastgoo;Dian Tjondronegoro;Vinod Chandran

  • Application of Higher Order Spectra to Identify Epileptic EEG

    Kuang Chua Chua;V. Chandran;U. Rajendra Acharya;C. M. Lim

  • Cardiac state diagnosis using higher order spectra of heart rate variability

    K. C. Chua;V. Chandran;U. R. Acharya;C. M. Lim

  • Automatic Driver Stress Level Classification Using Multimodal Deep Learning

    Mohammad Naim Rastgoo;Bahareh Nakisa;Frederic Maire;Andry Rakotonirainy

  • Face authentication test on the BANCA database

    K. Messer;J. Kittler;M. Sadeghi;M. Hamouz

  • Pattern recognition using invariants defined from higher order spectra: 2-D image inputs

    V. Chandran;B. Carswell;B. Boashash;S. Elgar

  • Breast cancer detection from thermal images using bispectral invariant features

    Mahnaz EtehadTavakol;Vinod Chandran;E.Y.K. Ng;Raheleh Kafieh

  • Biometric Based Cryptographic Key Generation from Faces

    B. Chen;V. Chandran

  • Long Short Term Memory Hyperparameter Optimization for a Neural Network Based Emotion Recognition Framework

    Bahareh Nakisa;Mohammad Naim Rastgoo;Andry Rakotonirainy;Frederic Maire

  • Analysis of epileptic EEG signals using higher order spectra

    K C Chua;V Chandran;U Rajendra Acharya;C M Lim

  • An adaptive optical flow technique for person tracking systems

    Simon Denman;Vinod Chandran;Sridha Sridharan

  • A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements

    Mohammad Naim Rastgoo;Bahareh Nakisa;Andry Rakotonirainy;Vinod Chandran

  • Random Gabor based templates for facial expression recognition in images with facial occlusion

    Ligang Zhang;Dian W. Tjondronegoro;Vinod Chandran

  • An approach to statistical lip modelling for speaker identification via chromatic feature extraction

    T. Wark;S. Sridharan;V. Chandran

  • Face recognition from 3D data using Iterative Closest Point algorithm and Gaussian mixture models

    J. Cook;V. Chandran;S. Sridharan;C. Fookes

  • Application of wavelet techniques for cancer diagnosis using ultrasound images

    Vidya K Sudarshan;Muthu Rama Krishnan Mookiah;U Rajendra Acharya;Vinod Chandran

  • Automatic identification of epileptic electroencephalography signals using higher-order spectra.

    K C Chua;V Chandran;U R Acharya;C M Lim

  • Face authentication test on the BANCA database

    K. Messer;J. Kittler;M. Sadeghi;M. Hamouz

Frequent Co-Authors

Sridha Sridharan
Sridha Sridharan Queensland University of Technology
Steve Elgar
Steve Elgar Woods Hole Oceanographic Institution
Clinton Fookes
Clinton Fookes Queensland University of Technology
Simon Lucey
Simon Lucey University of Adelaide
Simon Denman
Simon Denman Queensland University of Technology
U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Boualem Boashash
Boualem Boashash University of Queensland
Jen Hong Tan
Jen Hong Tan Singapore General Hospital
Andry Rakotonirainy
Andry Rakotonirainy Queensland University of Technology
Joel En Wei Koh
Joel En Wei Koh Ngee Ann Polytechnic

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