World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
20110
World Ranking
9469
National Ranking
100

Suash Deb 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 Suash Deb 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: 113 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Suash Deb 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 Suash Deb 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Suash Deb is affiliated with C. V. Raman Global University in India. Their research contributions span multiple areas within computational intelligence and applied mathematics, reflecting interdisciplinary engagement across several domains.

The scholar's recent published papers include:

  • Special issue of 2017 India International Congress on Computational Intelligence, 2020, Neural Computing and Applications
  • EDITORIAL: Special Issue of 2018 India International Congress on Computational Intelligence, 2020, Neural Computing and Applications
  • Hybrid GA-PSO method with local search and image clustering for automatic IFS image reconstruction of fractal colored images, 2023, Neural Computing and Applications
  • On Selection of a Benchmark by Determining the Algorithms' Qualities, 2021, IEEE Access
  • Monarch butterfly optimization: A comprehensive review, 2020, Expert Systems with Applications

Frequent co-authors collaborating with Suash Deb include:

  • Iztok Fister (6 joint publications)
  • Ka-Chun Wong (4 joint publications)
  • Akemi Gálvez (3 joint publications)
  • Andrés Iglesias (3 joint publications)
  • Thomas Hanne (3 joint publications)

The main publication venues where Suash Deb's work appears are:

  • Neural Computing and Applications (6 publications)
  • Expert Systems with Applications (1 publication)
  • IEEE Access (1 publication)

Suash Deb's research covers a variety of specialized fields of study including:

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Computational Mechanics
  • Computational Theory and Mathematics
  • Mathematical Physics

Prominent topics addressed in their work include:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Vehicle Routing Optimization Methods
  • Mathematical Dynamics and Fractals
  • Neural Networks and Applications
  • Chaos control and synchronization
  • Advanced Numerical Analysis Techniques

Best Publications

  • Cuckoo Search via Lévy flights

    Xin-She Yang;Suash Deb

  • Engineering optimisation by cuckoo search

    Xin She Yang;Suash Deb

  • Cuckoo search: recent advances and applications

    Xin-She Yang;Suash Deb

  • Multiobjective cuckoo search for design optimization

    Xin-She Yang;Suash Deb

  • Monarch butterfly optimization

    Gai-Ge Wang;Gai-Ge Wang;Suash Deb;Zhihua Cui

  • Elephant Herding Optimization

    Gai-Ge Wang;Suash Deb;Leandro dos S. Coelho

  • A new metaheuristic optimisation algorithm motivated by elephant herding behaviour

    Gai-Ge Wang;Suash Deb;Xiao-Zhi Gao;Leandro Dos Santos Coelho

  • Eagle Strategy Using Lévy Walk and Firefly Algorithms for Stochastic Optimization

    Xin-She Yang;Suash Deb

  • Earthworm optimisation algorithm: a bio-inspired metaheuristic algorithm for global optimisation problems

    Gai Ge Wang;Suash Deb;Leandro Dos Santos Coelho

  • Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications

    Xin She Yang;Suash Deb;Simon Fong

  • Wolf search algorithm with ephemeral memory

    Rui Tang;Simon Fong;Xin-She Yang;Suash Deb

  • Chaotic cuckoo search

    Gai-Ge Wang;Suash Deb;Amir H. Gandomi;Zhaojun Zhang

  • An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems

    Jiao-Hong Yi;Suash Deb;Junyu Dong;Amir Hossein Alavi

  • Design optimization of truss structures using cuckoo search algorithm

    Amir Hossein Gandomi;Siamak Talatahari;Xin-She Yang;Suash Deb

  • A hybrid method based on krill herd and quantum-behaved particle swarm optimization

    Gai-Ge Wang;Amir H. Gandomi;Amir H. Alavi;Suash Deb

  • Monarch butterfly optimization: A comprehensive review

    Yanhong Feng;Suash Deb;Gai-Ge Wang;Amir Hossein Alavi;Amir Hossein Alavi

  • Opposition-based krill herd algorithm with Cauchy mutation and position clamping

    Gai-Ge Wang;Suash Deb;Amir H. Gandomi;Amir H. Alavi

  • Metaheuristic Algorithms: Optimal Balance of Intensification and Diversification

    Xin She Yang;Suash Deb;Simon Fong

  • Swarm intelligence: past, present and future

    Xin-She Yang;Suash Deb;Yu-Xin Zhao;Simon Fong

  • Solving 0–1 knapsack problem by a novel binary monarch butterfly optimization

    Yanhong Feng;Gai-Ge Wang;Gai-Ge Wang;Suash Deb;Mei Lu

  • Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization

    Amir Hossein Gandomi;Xin-She Yang;Siamak Talatahari;Suash Deb

  • Eagle strategy using Lévy walk and firefly algorithm for stochastic optimization

    Xin-She Yang;Suash Deb

Frequent Co-Authors

Simon Fong
Simon Fong University of Macau
Xin-She Yang
Xin-She Yang Middlesex University
Gai-Ge Wang
Gai-Ge Wang Ocean University of China
Iztok Fister
Iztok Fister University of Maribor
Amir H. Gandomi
Amir H. Gandomi University of Technology Sydney
Amir H. Alavi
Amir H. Alavi University of Pittsburgh
Janez Brest
Janez Brest University of Maribor
Siamak Talatahari
Siamak Talatahari University of Tabriz
Leandro dos Santos Coelho
Leandro dos Santos Coelho Federal University of Paraná
Zhihua Cui
Zhihua Cui Taiyuan University of Science and Technology

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