World's Best Scientists 2026 revealed!

Suresh Sundaram 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 Suresh Sundaram 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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+

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

Suresh Sundaram 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 Suresh Sundaram sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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+

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

Overview

Suresh Sundaram is affiliated with the Indian Institute of Science in India. Their research primarily spans the field of Computer Science, with a strong focus on Computer Vision and Pattern Recognition and Artificial Intelligence.

The scientist's work covers several specialized subfields including Aerospace Engineering, Automotive Engineering, and Cancer Research. Their research topics include Handwritten Text Recognition Techniques, Advanced Neural Network Applications, and Domain Adaptation and Few-Shot Learning. Other areas of focus are Multimodal Machine Learning Applications, Autonomous Vehicle Technology and Safety, Digital Media Forensic Detection, and Advanced Image and Video Retrieval Techniques.

The following is a selection of recent papers authored or co-authored by Suresh Sundaram:

  • Generative Replay-based Continual Zero-Shot Learning, 2021, arXiv (Cornell University)
  • Siamese-based offline word level writer identification in a reduced subspace, 2023, Engineering Applications of Artificial Intelligence
  • Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning, 2024, Proceedings of the AAAI Conference on Artificial Intelligence
  • Online writer identification system using adaptive sparse representation framework, 2020, IET Biometrics
  • Siamese based Neural Network for Offline Writer Identification on word level data, 2022, arXiv (Cornell University)

Suresh Sundaram frequently collaborates with several co-authors, including Aniruddh Sikdar, Sumanth Udupa, Vineet Kumar, Jayabrata Chowdhury, and N. Sundararajan.

The scientist's works are widely published in noted venues. Key publication outlets include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Engineering Applications of Artificial Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IET Biometrics

The range of Sundaram's work encompasses algorithmic and applied research in areas such as autonomous vehicle safety, neural networks for handwriting recognition, and methods for continual learning and few-shot learning. This multidisciplinary approach integrates techniques from machine learning, deep reinforcement learning, and statistical pattern recognition to address challenges in both academic and practical domains.

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

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

    K. Harikumar;J. Senthilnath;Suresh Sundaram

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

    S. Suresh;N. Sundararajan;P. Saratchandran

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

    G. Sateesh Babu;S. Suresh

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

    Kartick Subramanian;Sundaram Suresh;Narasimhan Sundararajan

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

    K. Subramanian;S. Suresh

  • ICGA-PSO-ELM Approach for Accurate Multiclass Cancer Classification Resulting in Reduced Gene Sets in Which Genes Encoding Secreted Proteins Are Highly Represented

    Saras Saraswathi;Suresh Sundaram;Narasimhan Sundararajan;Michael Zimmermann

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

    R. Savitha;S. Suresh;N. Sundararajan

  • Meta-cognitive RBF Network and its Projection Based Learning algorithm for classification problems

    G. Sateesh Babu;S. Suresh

  • An enhanced contextual DTW based system for online signature verification using Vector Quantization

    Abhishek Sharma;Suresh Sundaram

  • A sequential multi-category classifier using radial basis function networks

    S. Suresh;N. Sundararajan;P. Saratchandran

  • Dynamic mentoring and self-regulation based particle swarm optimization algorithm for solving complex real-world optimization problems

    Muhammad Rizwan Tanweer;Sundaram Suresh;N. Sundararajan

  • Identifying differences in brain activities and an accurate detection of autism spectrum disorder using resting state functional-magnetic resonance imaging : A spatial filtering approach.

    Vigneshwaran Subbaraju;Mahanand Belathur Suresh;Suresh Sundaram;Sundararajan Narasimhan

  • Parkinson's disease prediction using gene expression - A projection based learning meta-cognitive neural classifier approach

    G. Sateesh Babu;S. Suresh

  • 2012 Special Issue: A meta-cognitive learning algorithm for a Fully Complex-valued Relaxation Network

    R. Savitha;S. Suresh;N. Sundararajan

  • On the Exploration of Information From the DTW Cost Matrix for Online Signature Verification

    Abhishek Sharma;Suresh Sundaram

  • A Meta-Cognitive Learning Algorithm for an Extreme Learning Machine Classifier

    Ramaswamy Savitha;Sundaram Suresh;H. J. Kim

  • An Evolving Interval Type-2 Neurofuzzy Inference System and Its Metacognitive Sequential Learning Algorithm

    Ankit Kumar Das;Kartick Subramanian;Suresh Sundaram

  • Fast learning Circular Complex-valued Extreme Learning Machine (CC-ELM) for real-valued classification problems

    R. Savitha;S. Suresh;N. Sundararajan

Frequent Co-Authors

S. R. Mahadeva Prasanna
S. R. Mahadeva Prasanna Indian Institute of Technology Dharwad
Narasimhan Sundararajan
Narasimhan Sundararajan Nanyang Technological University
Mahardhika Pratama
Mahardhika Pratama University of South Australia
Narasimalu Srikanth
Narasimalu Srikanth Nanyang Technological University
Debasish Ghose
Debasish Ghose Indian Institute of Science
Igor Škrjanc
Igor Škrjanc University of Ljubljana
Raghu Krishnapuram
Raghu Krishnapuram Indian Institute of Science
Edwin Lughofer
Edwin Lughofer Johannes Kepler University of Linz
Alexandros Iosifidis
Alexandros Iosifidis Aarhus University

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