World's Best Scientists 2026 revealed!
Ponnuthurai Nagaratnam Suganthan

Ponnuthurai Nagaratnam Suganthan

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Computer Science
Qatar
2026
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Computer Science
Singapore
2023

D-Index & Metrics

Computer Science

D-Index
124
Citations
78023
World Ranking
119
National Ranking
1

Ponnuthurai Nagaratnam Suganthan 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 Ponnuthurai Nagaratnam Suganthan 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: 596 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Ponnuthurai Nagaratnam Suganthan 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 Ponnuthurai Nagaratnam Suganthan 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: 124 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in Qatar Leader Award
  • 2025 - Research.com Computer Science in Qatar Leader Award
  • 2023 - Research.com Computer Science in Singapore Leader Award
  • 2022 - Research.com Computer Science in Singapore Leader Award
  • 2015 - IEEE Fellow For contributions to optimization using evolutionary and swarm algorithms

Overview

Ponnuthurai Nagaratnam Suganthan is affiliated with Qatar University in Qatar. Their research spans the fields of Computer Science and Engineering, with a significant focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, and Computational Theory and Mathematics.

The main topics covered in their work include:

  • Metaheuristic Optimization Algorithms Research
  • Machine Learning and Extreme Learning Machines (ELM)
  • Advanced Multi-Objective Optimization Algorithms
  • Face and Expression Recognition
  • Neural Networks and Applications
  • Evolutionary Algorithms and Applications
  • Energy Load and Power Forecasting

Frequent co-authors include:

  • Ruobin Gao
  • M. Tanveer
  • Minghui Hu
  • Kaizhou Gao
  • Witold Pedrycz

Publication venues where Ponnuthurai Nagaratnam Suganthan has frequently published encompass:

  • arXiv (Cornell University)
  • Swarm and Evolutionary Computation
  • Applied Soft Computing
  • SSRN Electronic Journal
  • Engineering Applications of Artificial Intelligence

Some recent papers by the scientist include:

  • Ensemble deep learning: A review, 2022, Engineering Applications of Artificial Intelligence
  • A test-suite of non-convex constrained optimization problems from the real-world and some baseline results, 2020, Swarm and Evolutionary Computation
  • Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application, 2021, Swarm and Evolutionary Computation
  • Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review, 2020, Expert Systems with Applications
  • A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems, 2021, Swarm and Evolutionary Computation

The scientist has contributed to multiple book publications mainly with Springer Nature and Springer Science+Business Media, including titles such as:

  • Differential Evolution: From Theory to Practice (2022)
  • Cybernetics, Cognition and Machine Learning Applications (2020, 2021, 2022 editions)
  • Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing (2020)
  • Advanced Computing (2023)
  • Handbook of Nature-Inspired Optimization Algorithms: The State of the Art (2022)

Ponnuthurai Nagaratnam Suganthan was recognized as an IEEE Fellow in 2015 for contributions to optimization using evolutionary and swarm algorithms.

Best Publications

  • Differential Evolution: A Survey of the State-of-the-Art

    S Das;P N Suganthan

  • Comprehensive learning particle swarm optimizer for global optimization of multimodal functions

    J.J. Liang;A.K. Qin;P.N. Suganthan;S. Baskar

  • Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization

    A.K. Qin;V.L. Huang;P.N. Suganthan

  • Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization

    P. N. Suganthan;N. Hansen;J. J. Liang;K. Deb

  • Multiobjective evolutionary algorithms: A survey of the state of the art

    Aimin Zhou;Bo-Yang Qu;Hui Li;Shi-Zheng Zhao

  • Ensemble deep learning: A review

    Unknown

  • Recent advances in differential evolution – An updated survey

    Swagatam Das;Sankha Subhra Mullick;Ponnuthurai N. Suganthan

  • Differential evolution algorithm with ensemble of parameters and mutation strategies

    R. Mallipeddi;P. N. Suganthan;Q. K. Pan;M. F. Tasgetiren

  • Self-adaptive differential evolution algorithm for numerical optimization

    A.K. Qin;P.N. Suganthan

  • Particle swarm optimiser with neighbourhood operator

    P.N. Suganthan

  • Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization

    J. J. Liang;B. Y. Qu;P. N. Suganthan

  • Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition

    Qingfu Zhang;Aimin Zhou;Shizheng Zhao;Ponnuthurai Nagaratnam Suganthan

  • Rapid and brief communication: Evolutionary extreme learning machine

    Qin-Yu Zhu;A. K. Qin;P. N. Suganthan;Guang-Bin Huang

  • Benchmark Functions for the CEC'2010 Special Session and Competition on Large-Scale Global Optimization

    Ke Tang;Xiaodong Li;P. N. Suganthan;Zhenyu Yang

  • Benchmark Functions for the CEC'2008 Special Session and Competition on Large Scale Global Optimization

    K. Tang;X. Yao;P. N. Suganthan;C. MacNish

  • A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem

    Quan-Ke Pan;M. Fatih Tasgetiren;P. N. Suganthan;T. J. Chua

  • Problem Deflnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization

    J. J. Liang;Thomas Philip Runarsson;Efren Mezura-Montes;Maurice Clerc

  • An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization

    S. M. Islam;S. Das;S. Ghosh;S. Roy

  • Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]

    Ye Ren;Le Zhang;P.N. Suganthan

  • Dynamic multi-swarm particle swarm optimizer

    J.J. Liang;P.N. Suganthan

  • Dynamic multi-swarm particle swarm optimizer with local search

    J.J. Liang;P.N. Suganthan

Frequent Co-Authors

Quan-Ke Pan
Quan-Ke Pan Shanghai University
Rammohan Mallipeddi
Rammohan Mallipeddi Kyungpook National University
Swagatam Das
Swagatam Das Indian Statistical Institute
Jing Liang
Jing Liang Zhengzhou University
Boyang Qu
Boyang Qu Zhongyuan University of Technology
A. K. Qin
A. K. Qin Swinburne University of Technology
Gehan A. J. Amaratunga
Gehan A. J. Amaratunga University of Cambridge
Kaizhou Gao
Kaizhou Gao Macau University of Science and Technology
Le Zhang
Le Zhang University of Electronic Science and Technology of China
S. Baskar
S. Baskar Anna University, Chennai

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