World's Best Scientists 2026 revealed!
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Computer Science
New Zealand
2026

D-Index & Metrics

Computer Science

D-Index
73
Citations
21982
World Ranking
1586
National Ranking
3

Nikola Kasabov 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 Nikola Kasabov 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: 681 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Nikola Kasabov 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 Nikola Kasabov 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: 73 D-Index — 89th percentile

89% 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 New Zealand Leader Award
  • 2025 - Research.com Computer Science in New Zealand Leader Award
  • 2023 - Research.com Computer Science in New Zealand Leader Award
  • 2022 - Research.com Computer Science in New Zealand Leader Award
  • 2010 - IEEE Fellow For the applications of neural networks and hybrid systems in computational intelligence
  • 2001 - Fellow of the Royal Society of New Zealand

Overview

Nikola Kasabov is affiliated with Auckland University of Technology in New Zealand. Their research spans multiple areas, primarily focused on computational intelligence and neural network applications. Their work is situated heavily in the fields of Computer Science, Engineering, and Neuroscience, with significant contributions in several specialized subfields.

Their main fields of study include:

  • Computer Science (122 publications)
  • Engineering (90 publications)
  • Neuroscience (81 publications)

Key subfields of study encompass:

  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience
  • Media Technology
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Their primary research topics cover:

  • Image Enhancement Techniques
  • Advanced Memory and Neural Computing
  • EEG and Brain-Computer Interfaces
  • Advanced Image Fusion Techniques
  • Neural dynamics and brain function
  • Advanced Image Processing Techniques
  • Remote-Sensing Image Classification

Nikola Kasabov has collaborated frequently with a number of co-authors, including:

  • Jie Yang (33 joint publications)
  • Maryam Doborjeh (23 joint publications)
  • Zohreh Doborjeh (20 joint publications)
  • Zhenhong Jia (20 joint publications)
  • Shihua Zhou (17 joint publications)

The researcher has published extensively in several journals, with multiple articles appearing in:

  • Sensors (8 publications)
  • IEEE Access (8 publications)
  • Multimedia Tools and Applications (7 publications)
  • Preprints.org (6 publications)
  • Scientific Reports (5 publications)

Some recent papers illustrate the scope and focus of their work:

  • "Artificial intelligence: a systematic review of methods and applications in hospitality and tourism," 2021, published in International Journal of Contemporary Hospitality Management
  • "What has social neuroscience learned from hyperscanning studies of spoken communication? A systematic review," 2020, Neuroscience & Biobehavioral Reviews
  • "NeuroSense: Short-term emotion recognition and understanding based on spiking neural network modelling of spatio-temporal EEG patterns," 2021, Neurocomputing
  • "Brain-inspired spiking neural networks for decoding and understanding muscle activity and kinematics from electroencephalography signals during hand movements," 2021, Scientific Reports
  • "Spiking Neural Networks: Background, Recent Development and the NeuCube Architecture," 2020, Neural Processing Letters

Nikola Kasabov has also contributed to academic books, including a publication by Springer Science+Business Media titled "Applied Intelligence and Informatics" released in 2021.

Recognition within the scientific community includes prestigious fellowships such as:

  • IEEE Fellow (awarded in 2010) for applications of neural networks and hybrid systems in computational intelligence
  • Fellow of the Royal Society of New Zealand (awarded in 2001)

Best Publications

  • Foundations of neural networks, fuzzy systems, and knowledge engineering

    Nikola K. Kasabov

  • DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction

    N.K. Kasabov;Qun Song

  • Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning

    N. Kasabov

  • Evolving Connectionist Systems: The Knowledge Engineering Approach

    Nikola Kasabov

  • NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data

    Nikola K. Kasabov

  • 2013 Special Issue: Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition

    Nikola Kasabov;Kshitij Dhoble;Nuttapod Nuntalid;Giacomo Indiveri

  • HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems

    J. Kim;N. Kasabov

  • Incremental linear discriminant analysis for classification of data streams

    Shaoning Pang;S. Ozawa;N. Kasabov

  • Evolving Intelligent Systems: Methodology and Applications

    Plamen Angelov;Dimitar P. Filev;Nik Kasabov

  • Evolving Connectionist Systems : Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines

    Nikola K. Kasabov

  • SPAN: SPIKE PATTERN ASSOCIATION NEURON FOR LEARNING SPATIO-TEMPORAL SPIKE PATTERNS

    Ammar Mohemmed;Stefan Schliebs;Satoshi Matsuda;Nikola K. Kasabov;Nikola K. Kasabov

  • Evolving connectionist systems

    Nikola K. Kasabov

  • Spiking Neural Networks and online learning: An overview and perspectives

    Jesus L. Lobo;Javier Del Ser;Albert Bifet;Nikola K. Kasabov

  • Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

    Nikola K. Kasabov

  • Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems

    Nikola K. Kasabov

  • Neural networks letter: To spike or not to spike: A probabilistic spiking neuron model

    Nikola Kasabov

  • Quantum-Inspired Evolutionary Algorithm: A Multimodel EDA

    M.D. Platel;S. Schliebs;N. Kasabov

  • Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications

    Nikola Kasabov;Nathan Matthew Scott;Enmei Tu;Stefan Marks

  • FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition

    Nikola K. Kasabov;Jaesoo Kim;Michael J. Watts;Andrew R. Gray

  • Evolving spiking neural networks for audiovisual information processing

    Simei Gomes Wysoski;Lubica Benuskova;Nikola Kasabov

Frequent Co-Authors

Robert Kozma
Robert Kozma University of Memphis
Valery L. Feigin
Valery L. Feigin Auckland University of Technology
Javier Del Ser
Javier Del Ser University of the Basque Country
Dimitar Petrov Filev
Dimitar Petrov Filev Ford Motor Company (United States)
Plamen Angelov
Plamen Angelov Lancaster University
Francesco Carlo Morabito
Francesco Carlo Morabito University of Reggio Calabria
Siti Mariyam Shamsuddin
Siti Mariyam Shamsuddin University of Technology Malaysia
Stephen G. MacDonell
Stephen G. MacDonell Victoria University of Wellington
Shigeo Abe
Shigeo Abe Kobe University
Dimiter S. Dimitrov
Dimiter S. Dimitrov University of Pittsburgh

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