World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6388
World Ranking
11150
National Ranking
705

Crina Grosan 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 Crina Grosan 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: 148 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Crina Grosan 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 Crina Grosan 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Crina Grosan is affiliated with King's College London in the United Kingdom. Their research activity primarily spans the field of Computer Science with a strong focus on Artificial Intelligence. Within this domain, Grosan's work covers subfields such as Rehabilitation, Human-Computer Interaction, Computer Vision and Pattern Recognition, as well as Public Health, Environmental and Occupational Health.

The research topics addressed by Grosan include:

  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Stroke Rehabilitation and Recovery
  • Human Pose and Action Recognition
  • Hand Gesture Recognition Systems
  • Telemedicine and Telehealth Implementation
  • Virtual Reality Applications and Impacts

Selected recent publications of Grosan include:

  • "A Comparison of Several Linear Genetic Programming Techniques," 2024, published in Complex Systems
  • "IntelliRehabDS (IRDS)-A Dataset of Physical Rehabilitation Movements," 2021, published in Data
  • "Optimizing the setting of medical interactive rehabilitation assistant platform to improve the performance of the patients: A case study," 2021, published in Artificial Intelligence in Medicine
  • "Improving patient rehabilitation performance in exercise games using collaborative filtering approach," 2021, published in PeerJ Computer Science
  • "A new genetic algorithm method based on statistical-based replacement for the training of multiplicative neuron model artificial neural networks," 2022, published in The Journal of Supercomputing

Grosan collaborates frequently with several researchers in overlapping areas, including:

  • Waidah Ismail
  • Alina Miron
  • Noureddin Sadawi
  • Hafez Hussain
  • Mihai Oltean

The scientist's work has been published in various venues with multiple papers appearing in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Artificial Intelligence in Medicine
  • arXiv (Cornell University)
  • Complex Systems
  • Data

Best Publications

  • Modeling intrusion detection system using hybrid intelligent systems

    Sandhya Peddabachigari;Ajith Abraham;Crina Grosan;Johnson Thomas

  • Swarm Intelligence in Data Mining

    Ajith Abraham

  • Hybrid Evolutionary Algorithms: Methodologies, Architectures, and Reviews

    Crina Grosan;Ajith Abraham

  • A New Approach for Solving Nonlinear Equations Systems

    C. Grosan;A. Abraham

  • A Comparison of Several Linear Genetic Programming Techniques

    Mihai Oltean;Crina Grosan

  • Rule-Based Expert Systems

    Crina Grosan;Ajith Abraham

  • Impact of Node Mobility on MANET Routing Protocols Models

    Bhavyesh Divecha;Ajith Abraham;Crina Grosan;Sugata Sanyal

  • Feature Subset Selection Approach by Gray-Wolf Optimization

    Eid Emary;Hossam M. Zawbaa;Hossam M. Zawbaa;Crina Grosan;Abul Ella Hassenian

  • Experienced Gray Wolf Optimization Through Reinforcement Learning and Neural Networks

    E. Emary;Hossam M. Zawbaa;Crina Grosan

  • Feature Selection via Chaotic Antlion Optimization.

    Hossam M. Zawbaa;Hossam M. Zawbaa;E. Emary;E. Emary;Crina Grosan;Crina Grosan

  • Evolutionary Design of Intrusion Detection Programs

    Ajith Abraham;Crina Grosan;Carlos Martin-Vide

  • Evolving Evolutionary Algorithms Using Multi Expression Programming

    Mihai Oltean;Crina Groşan

  • Hybrid Evolutionary Algorithms

    Crina Grosan;Ajith Abraham;Hisao Ishibuchi

  • Large-dimensionality small-instance set feature selection: a hybrid bio-inspired heuristic approach

    Hossam M. Zawbaa;Hossam M. Zawbaa;Eid Emary;Eid Emary;Crina Grosan;Crina Grosan;Václav Snášel

  • Intelligent Systems: A Modern Approach

    Crina Grosan;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

  • Meta-QSAR: a large-scale application of meta-learning to drug design and discovery

    Iván Olier;Iván Olier;Noureddin Sadawi;Noureddin Sadawi;G. Richard J. Bickerton;Joaquin Vanschoren

  • Multiline Distance Minimization: A Visualized Many-Objective Test Problem Suite

    Miqing Li;Crina Grosan;Shengxiang Yang;Xiaohui Liu

  • Enhancing Web Service Selection by User Preferences of Non-functional Features

    Y. Badr;A. Abraham;F. Biennier;C. Grosan

  • Swarm Intelligence in Data Mining (Studies in Computational Intelligence)

    Ajith Abraham;Crina Grosan;Vitorino Ramos

  • Applications of Intelligent Optimization in Biology and Medicine

    Aboul-Ella Hassanien;Crina Grosan;Mohamed Fahmy Tolba

Frequent Co-Authors

Ajith Abraham
Ajith Abraham Sai University
Hossam M. Zawbaa
Hossam M. Zawbaa Beni-Suef University
Ross D. King
Ross D. King University of Manchester
Yuehui Chen
Yuehui Chen University of Jinan
Aboul Ella Hassanien
Aboul Ella Hassanien Cairo University
Millie Pant
Millie Pant Indian Institute of Technology Roorkee
Alexander Gelbukh
Alexander Gelbukh Instituto Politécnico Nacional
Shengxiang Yang
Shengxiang Yang De Montfort University
Vaclav Snasel
Vaclav Snasel Technical University of Ostrava
David Gilbert
David Gilbert Brunel University London

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