World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
9485
World Ranking
6463
National Ranking
66

Sundaram Suresh 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 Sundaram Suresh 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: 337 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Sundaram Suresh 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 Sundaram Suresh 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Sundaram Suresh is affiliated with the Indian Institute of Science in India and has made contributions primarily in the field of Computer Science. Their research spans several subfields including Computer Vision and Pattern Recognition, Computer Networks and Communications, Neurology, Artificial Intelligence, and Biomedical Engineering.

Their work addresses a variety of topics centered on Context-Aware Activity Recognition Systems, Neurological disorders and treatments, IoT and Edge/Fog Computing, Epilepsy research and treatment, Non-Invasive Vital Sign Monitoring, Anomaly Detection Techniques and Applications, and EEG and Brain-Computer Interfaces.

Among their recent papers are:

  • DeepTransHHAR: Inter-subjects Heterogeneous Activity Recognition Approach in the Non-identical Environment Using Wearable Sensors (2022, National Academy Science Letters)
  • Deep-HAR: an ensemble deep learning model for recognizing the simple, complex, and heterogeneous human activities (2023, Multimedia Tools and Applications)
  • Efficacy of neuromodulation of the pulvinar nucleus for drug-resistant epilepsy (2025, Epilepsia)
  • DeepTransHAR: a novel clustering-based transfer learning approach for recognizing the cross-domain human activities using GRUs (Gated Recurrent Units) Networks (2023, Internet of Things)
  • FLAAP: An Open Human Activity Recognition (HAR) Dataset for Learning and Finding the Associated Activity Patterns (2022, Procedia Computer Science)

Frequent publication venues for Sundaram Suresh include:

  • National Academy Science Letters
  • Multimedia Tools and Applications
  • Procedia Computer Science
  • IETE Technical Review
  • SN Computer Science

Their frequent co-authors include Prabhat Kumar, Sandipan Pati, Ganne Chaitanya, Nisha Singh, and Yosefa A. Modiano. Collaboration with these researchers reflects ongoing multi-author efforts primarily in activity recognition and related systems.

Best Publications

  • Reversible Watermarking Algorithm Using Sorting and Prediction

    V. Sachnev;Hyoung Joong Kim;Jeho Nam;S. Suresh

  • Self regulating particle swarm optimization algorithm

    M.R. Tanweer;S. Suresh;N. Sundararajan

  • No-reference image quality assessment using modified extreme learning machine classifier

    S. Suresh;R. Venkatesh Babu;H. J. Kim

  • Particle swarm optimization approach for multi-objective composite box-beam design

    S. Suresh;P.B. Sujit;A.K. Rao

  • Performance enhancement of extreme learning machine for multi-category sparse data classification problems

    S. Suresh;S. Saraswathi;N. Sundararajan

  • Multi-UAV Oxyrrhis Marina-Inspired Search and Dynamic Formation Control for Forest Firefighting

    K. Harikumar;J. Senthilnath;Suresh Sundaram

  • Human action recognition using Meta-Cognitive Neuro-Fuzzy Inference System

    K. Subramanian;S. Suresh

  • Prediction of unconfined compressive strength of soft grounds using computational intelligence techniques: A comparative study

    B.S. Narendra;P.V. Sivapullaiah;S. Suresh;S.N. Omkar

  • Risk-sensitive loss functions for sparse multi-category classification problems

    S. Suresh;N. Sundararajan;P. Saratchandran

  • A sequential learning algorithm for self-adaptive resource allocation network classifier

    S. Suresh;Keming Dong;H. J. Kim

  • Meta-cognitive Neural Network for classification problems in a sequential learning framework

    G. Sateesh Babu;S. Suresh

  • Lift coefficient prediction at high angle of attack using recurrent neural network

    S. Suresh;S.N. Omkar;V. Mani;T.N. Guru Prakash

  • A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems

    Kartick Subramanian;Sundaram Suresh;Narasimhan Sundararajan

  • A fully complex-valued radial basis function network and its learning algorithm.

    Ramaswamy Savitha;Sundaram Suresh;N. Sundararajan

  • A meta-cognitive sequential learning algorithm for neuro-fuzzy inference system

    K. Subramanian;S. Suresh

  • Parallel implementation of back-propagation algorithm in networks of workstations

    S. Suresh;S.N. Omkar;V. Mani

  • Identification of crack location and depth in a cantilever beam using a modular neural network approach

    S Suresh;S N Omkar;Ranjan Ganguli;V Mani

  • Sequential Projection-Based Metacognitive Learning in a Radial Basis Function Network for Classification Problems

    G. S. Babu;S. Suresh

  • Metacognitive learning in a fully complex-valued radial basis function neural network

    R. Savitha;S. Suresh;N. Sundararajan

  • No-reference JPEG-image quality assessment using GAP-RBF

    R. Venkatesh Babu;S. Suresh;Andrew Perkis

Frequent Co-Authors

Narasimhan Sundararajan
Narasimhan Sundararajan Nanyang Technological University
R. Venkatesh Babu
R. Venkatesh Babu Indian Institute of Science
Ranjan Ganguli
Ranjan Ganguli Arizona State University
Sriram Narasimhan
Sriram Narasimhan University of California, Los Angeles
Narasimalu Srikanth
Narasimalu Srikanth Nanyang Technological University
François Brémond
François Brémond French Institute for Research in Computer Science and Automation - INRIA
Monique Thonnat
Monique Thonnat French Institute for Research in Computer Science and Automation - INRIA
Satish Nagarajaiah
Satish Nagarajaiah Rice University
D. Roy Mahapatra
D. Roy Mahapatra Indian Institute of Science
Hyoung Joong Kim
Hyoung Joong Kim Korea University

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