World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
8258
World Ranking
9613
National Ranking
101

Kusum Deep 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 Kusum Deep 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: 224 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Kusum Deep 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 Kusum Deep 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

Kusum Deep is affiliated with the Indian Institute of Technology Roorkee in India. Their research primarily focuses on computer science and engineering, with a significant emphasis on artificial intelligence and computational theory and mathematics. The subfields include industrial and manufacturing engineering, computer vision and pattern recognition, and electrical and electronic engineering.

The main topics in Kusum Deep's research portfolio cover metaheuristic optimization algorithms, advanced multi-objective optimization algorithms, evolutionary algorithms and their applications, vehicle routing optimization methods, advanced optimization algorithm research, advanced manufacturing and logistics optimization, and face and expression recognition.

Kusum Deep has contributed to several recent papers, including:

  • "An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges" (2023), published in Artificial Intelligence Review
  • "A memory-based Grey Wolf Optimizer for global optimization tasks" (2020), published in Applied Soft Computing
  • "Discrete Grey Wolf Optimizer for symmetric travelling salesman problem" (2021), published in Applied Soft Computing
  • "A modified Sine Cosine Algorithm with novel transition parameter and mutation operator for global optimization" (2020), published in Expert Systems with Applications
  • "Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis" (2020), published in Expert Systems with Applications

Frequent co-authors collaborating with Kusum Deep include Vanita Garg, Kanchan Rajwar, Shubham Gupta, Millie Pant, and Atulya K. Nagar.

Major publication venues for Kusum Deep's work include:

  • Expert Systems with Applications
  • International Journal of Systems Assurance Engineering and Management
  • SSRN Electronic Journal
  • Applied Soft Computing
  • Evolutionary Intelligence

Kusum Deep has published several books with prominent publishers such as Springer Nature and Springer International Publishing. These works include "Soft Computing for Problem Solving 2019" (2020), "Proceedings of International Conference on Scientific and Natural Computing" (2021), "Soft Computing for Problem Solving" (2021), "Design and Applications of Nature Inspired Optimization" (2022), and "Women in Soft Computing" (2023).

Best Publications

  • A real coded genetic algorithm for solving integer and mixed integer optimization problems

    Kusum Deep;Krishna Pratap Singh;M. L. Kansal;C. Mohan

  • A new crossover operator for real coded genetic algorithms

    Kusum Deep;Manoj Thakur

  • An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges

    Unknown

  • A new mutation operator for real coded genetic algorithms

    Kusum Deep;Manoj Thakur

  • A novel Random Walk Grey Wolf Optimizer

    Shubham Gupta;Kusum Deep

  • A hybrid self-adaptive sine cosine algorithm with opposition based learning

    Shubham Gupta;Kusum Deep

  • A Modified Binary Particle Swarm Optimization for Knapsack Problems

    Jagdish Chand Bansal;Kusum Deep

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

    Radha Thangaraj;Millie Pant;Kusum Deep

  • Improved sine cosine algorithm with crossover scheme for global optimization

    Shubham Gupta;Kusum Deep

  • A memory-based Grey Wolf Optimizer for global optimization tasks

    Shubham Gupta;Kusum Deep

  • A Survey on Parallel Particle Swarm Optimization Algorithms

    Soniya Lalwani;Harish Sharma;Suresh Chandra Satapathy;Kusum Deep

  • A Hybrid Harmony search and Simulated Annealing algorithm for continuous optimization

    Assif Assad;Kusum Deep

  • Mean particle swarm optimisation for function optimisation

    Kusum Deep;Jagdish Chand Bansal

  • Discrete Grey Wolf Optimizer for symmetric travelling salesman problem

    Karuna Panwar;Kusum Deep

  • Novel inertia weight strategies for particle swarm optimization

    Pinkey Chauhan;Kusum Deep;Millie Pant

  • A modified Sine Cosine Algorithm with novel transition parameter and mutation operator for global optimization

    Shubham Gupta;Kusum Deep;Seyedali Mirjalili;Joong Hoon Kim

  • Quadratic approximation based hybrid genetic algorithm for function optimization

    Kusum Deep;Kedar Nath Das

  • Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis

    Shubham Gupta;Shubham Gupta;Kusum Deep;Ali Asghar Heidari;Ali Asghar Heidari;Hossein Moayedi

  • An efficient equilibrium optimizer with mutation strategy for numerical optimization

    Shubham Gupta;Kusum Deep;Seyedali Mirjalili

  • A self-organizing migrating genetic algorithm for constrained optimization

    Kusum Deep;Dipti

  • A memory guided sine cosine algorithm for global optimization

    Shubham Gupta;Kusum Deep;Andries P. Engelbrecht

  • Harmonized salp chain-built optimization

    Shubham Gupta;Kusum Deep;Ali Asghar Heidari;Ali Asghar Heidari;Hossein Moayedi

Frequent Co-Authors

Jagdish Chand Bansal
Jagdish Chand Bansal South Asian University
Millie Pant
Millie Pant Indian Institute of Technology Roorkee
Ali Asghar Heidari
Ali Asghar Heidari National University of Singapore
Said Salhi
Said Salhi University of Kent
Hossein Moayedi
Hossein Moayedi Duy Tan University
Andries P. Engelbrecht
Andries P. Engelbrecht Stellenbosch University
Vaclav Snasel
Vaclav Snasel Technical University of Ostrava
Rajesh Kumar
Rajesh Kumar University of Johannesburg
Sushil Kumar
Sushil Kumar Central University of Haryana

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online study options can broaden your career opportunities in computer science. For those interested in expanding their expertise, a growing number of universities now offer graduate programs such as the cheapest data science masters in USA. These affordable programs make advanced education more accessible to students worldwide.

Other popular choices include engineering fields. Comparing electrical engineering online tuition costs can help you identify programs that fit your financial plans while still providing a quality education.

If you’re seeking a quicker route into a high-paying job, consider easy certifications to get online. These credentials are typically less time-consuming than a degree and are often highly valued by employers in the tech sector.

For those eager to fast-track their academic journey, many schools offer the shortest master degree programs available. These programs allow you to earn an advanced degree in less time, helping you enter the workforce sooner or accelerate your current career.

Best Scientists Citing Kusum Deep

Trending Scientists

Recently Published Articles