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Computer Science
Czechia
2026

D-Index & Metrics

Computer Science

D-Index
49
Citations
12436
World Ranking
5796
National Ranking
8

Vaclav Snasel 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 Vaclav Snasel 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: 804 publications — 99th percentile

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

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

Vaclav Snasel 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 Vaclav Snasel 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: 49 D-Index — 60th percentile

60% 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 Czechia Leader Award
  • 2025 - Research.com Computer Science in Czechia Leader Award

Overview

Vaclav Snasel is affiliated with the Technical University of Ostrava in the Czech Republic. Their research spans the fields of Computer Science and Engineering, with a particular focus on subfields such as Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, and Information Systems.

Snasel's main research topics include:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Energy Load and Power Forecasting
  • Complex Network Analysis Techniques
  • Neural Networks and Applications
  • Advanced Graph Neural Networks

Their recent papers reflect these topics and fields. Among them are:

  • "A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems," 2021, published in IEEE Access
  • "Gannet optimization algorithm: A new metaheuristic algorithm for solving engineering optimization problems," 2022, published in Mathematics and Computers in Simulation
  • "Chatbots: Security, privacy, data protection, and social aspects," 2021, published in Concurrency and Computation Practice and Experience
  • "Blockchain technology in food supply chains: Review and bibliometric analysis," 2022, published in Technology in Society
  • "Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization," 2024, published in Knowledge-Based Systems

Frequent co-authors of Vaclav Snasel include:

  • Jeng-Shyang Pan
  • Lingping Kong
  • Jan Platoš
  • Aboul Ella Hassanien
  • Millie Pant

Snasel's publications are often found in journals and conference venues such as:

  • SSRN Electronic Journal
  • IEEE Access
  • Applied Soft Computing
  • Mathematics
  • Scientific Reports

The scientist has also contributed to several book publications. These are mainly published by Springer Nature and Springer International Publishing. Notable book titles include:

  • International Conference on Innovative Computing and Communications (2020)
  • Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020
  • Medical Informatics and Bioimaging Using Artificial Intelligence (2021)
  • Proceedings of the Fourth International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'19) (2020)
  • Artificial Intelligence in Data and Big Data Processing (2022)
  • Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022
  • The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) (2022)

Best Publications

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

    Shanu Verma;Millie Pant;Vaclav Snasel

  • Metaheuristic design of feedforward neural networks

    Varun Kumar Ojha;Ajith Abraham;Vclav Snel

  • Gannet optimization algorithm : A new metaheuristic algorithm for solving engineering optimization problems

    Unknown

  • Consumers’ Acceptance and Use of Information and Communications Technology: A UTAUT and Flow Based Theoretical Model

    Saleh Alwahaishi;Václav Snášel

  • Chatbots: Security, privacy, data protection, and social aspects

    Martin Hasal;Jana Nowaková;Khalifa Ahmed Saghair;Hussam M. Dahwa Abdulla

  • Hybrid Artificial Intelligent Systems

    Emilio Corchado;Vaclav Snasel;Ajith Abraham;Michał Woźniak

  • Dynamic Arithmetic Optimization Algorithm for Truss Optimization Under Natural Frequency Constraints

    Unknown

  • Retinal Blood Vessel Segmentation Approach Based on Mathematical Morphology

    Gehad Hassan;Nashwa El-Bendary;Aboul Ella Hassanien;Aboul Ella Hassanien;Ali Fahmy

  • Comparison of Heuristics for Scheduling Independent Tasks on Heterogeneous Distributed Environments

    Hesam Izakian;Ajith Abraham;Václav Snasel

  • 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

  • Ontology Design with Formal Concept Analysis.

    Marek Obitko;Václav Snásel;Jan Smid

  • Multi-Objective Gray-Wolf Optimization for Attribute Reduction

    E. Emary;Waleed Yamany;Aboul Ella Hassanien;Vaclav Snasel

  • Biometric cattle identification approach based on Weber's Local Descriptor and AdaBoost classifier

    Tarek Gaber;Alaa Tharwat;Aboul Ella Hassanien;Vaclav Snasel

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

    Unknown

  • α-Fraction First Strategy for Hierarchical Model in Wireless Sensor Networks

    Jeng-Shyang Pan;Lingping Kong;Tien-Wen Sung;Pei-Wei Tsai

  • Handbook of Optimization

    Ivan Zelinka;Václav Snášel;Ajith Abraham

  • A survey on binary metaheuristic algorithms and their engineering applications

    Unknown

  • Heuristic design of fuzzy inference systems: A review of three decades of research

    Varun Kumar Ojha;Varun Kumar Ojha;Ajith Abraham;Václav Snásel

  • Overview and Comparison of Plagiarism Detection Tools

    Asim M. El Tahir Ali;Hussam M. Dahwa Abdulla;Václav Snásel

  • Fuzzy clustering using hybrid fuzzy c-means and fuzzy particle swarm optimization

    Hesam Izakian;Ajith Abraham;Vaclav Snasel

  • Swarm scheduling approaches for work-flow applications with security constraints in distributed data-intensive computing environments

    Hongbo Liu;Ajith Abraham;Václav Snášel;Seán McLoone

  • On convergence of the multi-objective particle swarm optimizers

    Prithwish Chakraborty;Swagatam Das;Gourab Ghosh Roy;Ajith Abraham

  • A modified Invasive Weed Optimization algorithm for time-modulated linear antenna array synthesis

    Aniruddha Basak;Siddharth Pal;Swagatam Das;Ajith Abraham

  • Medical Image Retrieval Using Vector Quantization and Fuzzy S-tree

    Jana Nowaková;Michal Prílepok;Václav Snášel

  • Big Data in Complex Systems: Challenges and Opportunities

    Aboul-Ella Hassanien;Ahmad Taher Azar;Vaclav Snasel;Janusz Kacprzyk

Frequent Co-Authors

Ajith Abraham
Ajith Abraham Sai University
Aboul Ella Hassanien
Aboul Ella Hassanien Cairo University
Emilio Corchado
Emilio Corchado University of Salamanca
Jeng-Shyang Pan
Jeng-Shyang Pan Shandong University of Science and Technology
Bay Vo
Bay Vo Ho Chi Minh City University of Technology
Hossam M. Zawbaa
Hossam M. Zawbaa Beni-Suef University
Millie Pant
Millie Pant Indian Institute of Technology Roorkee
Swagatam Das
Swagatam Das Indian Statistical Institute
Witold Pedrycz
Witold Pedrycz University of Alberta
Alaa Tharwat
Alaa Tharwat Frankfurt University of Applied Sciences

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