World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
9312
World Ranking
7884
National Ranking
89

Millie Pant 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 Millie Pant 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: 322 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Millie Pant 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 Millie Pant 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Millie Pant is affiliated with the Indian Institute of Technology Roorkee in India. Their research output is primarily situated within Computer Science and Engineering, reflecting a significant focus on Artificial Intelligence and Management Science and Operations Research.

The main subfields of study that characterize their work include:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering
  • Control and Systems Engineering

Millie Pant's research encompasses a range of specialized topics such as:

  • Efficiency Analysis Using DEA
  • Metaheuristic Optimization Algorithms Research
  • Optimization and Mathematical Programming
  • Multi-Criteria Decision Making
  • Water resources management and optimization
  • Advanced Multi-Objective Optimization Algorithms
  • Image Retrieval and Classification Techniques

Among their recent publications are:

  • "Differential Evolution: A review of more than two decades of research" (2020), published in Engineering Applications of Artificial Intelligence
  • "A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems" (2021), published in IEEE Access
  • "Blockchain technology in food supply chains: Review and bibliometric analysis" (2022), published in Technology in Society
  • "A review of selected weighing methods in MCDM with a case study" (2020), published in International Journal of Systems Assurance Engineering and Management
  • "A Review on the 40 Years of Existence of Data Envelopment Analysis Models: Historic Development and Current Trends" (2022), published in Archives of Computational Methods in Engineering

Frequent coauthors collaborating with Millie Pant include:

  • Václav Snåšel
  • Meenu Singh
  • Bilal
  • Ankita Panwar
  • Kusum Deep

Their work has been frequently published in several scientific venues, with the highest number of publications appearing in:

  • SSRN Electronic Journal
  • International Journal of Systems Assurance Engineering and Management
  • IEEE Access
  • Materials and Manufacturing Processes
  • Electronics

Best Publications

  • Differential Evolution: A review of more than two decades of research

    Bilal;Millie Pant;Hira Zaheer;Laura Garcia-Hernandez

  • A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems

    Shanu Verma;Millie Pant;Vaclav Snasel

  • Brain tumor segmentation and classification from magnetic resonance images: Review of selected methods from 2014 to 2019

    Arti Tiwari;Shilpa Srivastava;Millie Pant

  • Particle swarm optimization: Hybridization perspectives and experimental illustrations

    Radha Thangaraj;Millie Pant;Ajith Abraham;Pascal Bouvry

  • An efficient Differential Evolution based algorithm for solving multi-objective optimization problems

    Musrrat. Ali;Patrick Siarry;Millie. Pant

  • A robust image watermarking technique using SVD and differential evolution in DCT domain

    Musrrat Ali;Chang Wook Ahn;Millie Pant

  • Optimal coordination of over-current relays using modified differential evolution algorithms

    Radha Thangaraj;Millie Pant;Kusum Deep

  • Particle Swarm Optimization Using Gaussian Inertia Weight

    M. Pant;T. Radha;V.P. Singh

  • An image watermarking scheme in wavelet domain with optimized compensation of singular value decomposition via artificial bee colony

    Musrrat Ali;Chang Wook Ahn;Millie Pant;Patrick Siarry

  • Coordination of directional overcurrent relays using opposition based chaotic differential evolution algorithm

    Thanga Raj Chelliah;Radha Thangaraj;Srikanth Allamsetty;Millie Pant

  • Robust and false positive free watermarking in IWT domain using SVD and ABC

    Irshad Ahmad Ansari;Millie Pant;Chang Wook Ahn

  • Multipurpose image watermarking in the domain of DWT based on SVD and ABC

    Irshad Ahmad Ansari;Millie Pant

  • Improving the performance of differential evolution algorithm using Cauchy mutation

    Musrrat Ali;Millie Pant

  • A Review on the 40 Years of Existence of Data Envelopment Analysis Models: Historic Development and Current Trends

    Unknown

  • Novel inertia weight strategies for particle swarm optimization

    Pinkey Chauhan;Kusum Deep;Millie Pant

  • SVD based fragile watermarking scheme for tamper localization and self-recovery

    Irshad Ahmad Ansari;Millie Pant;Chang Wook Ahn

  • A Simple Diversity Guided Particle Swarm Optimization

    M. Pant;T. Radha;V.P. Singh

  • Simplex Differential Evolution

    Musrrat Ali;Millie Pant;Ajith Abraham

  • A review of selected weighing methods in MCDM with a case study

    Meenu Singh;Millie Pant

  • Particle Swarm Optimization Using Adaptive Mutation

    M. Pant;R. Thangaraj;A. Abraham

  • Particle Swarm Optimization: Performance Tuning and Empirical Analysis

    Millie Pant;Radha Thangaraj;Ajith Abraham

  • Optimal gain tuning of PI speed controller in induction motor drives using particle swarm optimization

    Radha Thangaraj;Thanga Raj Chelliah;Millie Pant;Ajith Abraham

Frequent Co-Authors

Ajith Abraham
Ajith Abraham Sai University
Kusum Deep
Kusum Deep Indian Institute of Technology Roorkee
Chang Wook Ahn
Chang Wook Ahn Gwangju Institute of Science and Technology
Jagdish Chand Bansal
Jagdish Chand Bansal South Asian University
Vaclav Snasel
Vaclav Snasel Technical University of Ostrava
Pascal Bouvry
Pascal Bouvry University of Luxembourg
Yuvraj Singh Negi
Yuvraj Singh Negi Indian Institute of Technology Roorkee
Crina Grosan
Crina Grosan King's College London
Patrick Siarry
Patrick Siarry Paris-Est Créteil University
Ferrante Neri
Ferrante Neri University of Nottingham

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