World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
23213
World Ranking
3171
National Ranking
1538

Donald C. Wunsch 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 Donald C. Wunsch 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: 512 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Donald C. Wunsch 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 Donald C. Wunsch 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: 60 D-Index — 78th percentile

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

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

Overview

Donald C. Wunsch is affiliated with the Missouri University of Science and Technology in the United States. Their research spans multiple areas within computer science and engineering, with a significant focus on artificial intelligence and control systems.

The scientist has contributed extensively to several subfields including artificial intelligence, molecular biology, computational theory and mathematics, control and systems engineering, and electrical and electronic engineering.

Their primary research topics cover:

  • Adaptive Dynamic Programming Control
  • Reinforcement Learning in Robotics
  • Advanced Clustering Algorithms Research
  • Machine Learning in Healthcare
  • Biomedical Text Mining and Ontologies
  • Mechanical Circulatory Support Devices
  • Bioinformatics and Genomic Networks

Donald C. Wunsch has published frequently in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • Neural Networks
  • European Scientific Journal ESJ
  • IEEE/CAA Journal of Automatica Sinica

Selected recent papers include:

  • Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • Reinforcement Learning-Based Cooperative Optimal Output Regulation via Distributed Adaptive Internal Model, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Safe Intermittent Reinforcement Learning With Static and Dynamic Event Generators, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Hamiltonian-Driven Adaptive Dynamic Programming With Approximation Errors, 2021, IEEE Transactions on Cybernetics
  • Hamiltonian-Driven Hybrid Adaptive Dynamic Programming, 2020, IEEE Transactions on Systems Man and Cybernetics Systems

Frequent collaborators of Donald C. Wunsch include:

  • Daniel B. Hier
  • Yongliang Yang
  • Tie Luo
  • Leonardo Enzo Brito da Silva
  • Sasha Petrenko

The scientist's extensive publication record highlights a consistent focus on reinforcement learning, adaptive dynamic programming, and the application of machine learning methods in both engineering and biomedical contexts.

Best Publications

  • Survey of clustering algorithms

    Rui Xu;D. Wunsch

  • Adaptive critic designs

    D.V. Prokhorov;D.C. Wunsch

  • Handbook of Learning and Approximate Dynamic Programming

    Jennie Si;Andrew G. Barto;Warren Buckler Powell;Donald C. Wunsch

  • Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks

    E.W. Saad;D.V. Prokhorov;D.C. Wunsch

  • Principal Manifolds for Data Visualization and Dimension Reduction

    Alexander N. Gorban;Balzs Kgl;Donald C. Wunsch;Andrei Zinovyev

  • Using neural networks to estimate wind turbine power generation

    Shuhui Li;D.C. Wunsch;E.A. O'Hair;M.G. Giesselmann

  • Clustering Algorithms in Biomedical Research: A Review

    Rui Xu;Donald C Wunsch

  • Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG

    Arthur Petrosian;Danil V. Prokhorov;Richard Homan;Richard Dasheiff

  • Comparison of heuristic dynamic programming and dual heuristic programming adaptive critics for neurocontrol of a turbogenerator

    G.K. Venayagamoorthy;R.G. Harley;D.C. Wunsch

  • Adaptive critic designs: a case study for neurocontrol

    Danil V. Prokhorov;Roberto A. Santiago;Donald C. Wunsch

  • Inference of Genetic Regulatory Networks with Recurrent Neural Network Models Using Particle Swarm Optimization

    Rui Xu;Donald Wunsch;Ronald Frank

  • Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization

    Rui Xu;Ganesh K. Venayagamoorthy;Donald C. Wunsch

  • Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay.

    Unknown

  • Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions

    Shuhui Li;Michael Fairbank;Cameron Johnson;Donald C. Wunsch

  • A Comparison Study of Validity Indices on Swarm-Intelligence-Based Clustering

    Rui Xu;Jie Xu;D. C. Wunsch

  • Supervised Actor-Critic Reinforcement Learning

    Michael T. Rosenstein;Andrew G. Barto;Jennie Si;Andy Barto

  • Comparative Analysis of Regression and Artificial Neural Network Models for Wind Turbine Power Curve Estimation

    Shuhui Li;Donald C. Wunsch;Edgar O’Hair;Michael G. Giesselmann

  • Leader–Follower Output Synchronization of Linear Heterogeneous Systems With Active Leader Using Reinforcement Learning

    Yongliang Yang;Hamidreza Modares;Donald C. Wunsch;Yixin Yin

  • Dual heuristic programming excitation neurocontrol for generators in a multimachine power system

    G.K. Venayagamoorthy;R.G. Harley;D.C. Wunsch

  • Training Recurrent Neural Networks With the Levenberg–Marquardt Algorithm for Optimal Control of a Grid-Connected Converter

    Xingang Fu;Shuhui Li;Michael Fairbank;Donald C. Wunsch

  • A proposition on memes and meta-memes in computing for higher-order learning

    Ryan J. Meuth;Meng-Hiot Lim;Yew-Soon Ong;Donald C. Wunsch

  • IEEE International Conference on Neural Networks - Conference Proceedings

    Xindi Cai;Nian Zhang;Kumar Venayagamoorthy;Donald C. Wunsch

Frequent Co-Authors

Ganesh K. Venayagamoorthy
Ganesh K. Venayagamoorthy Clemson University
Shuhui Li
Shuhui Li University of Alabama
Danil V. Prokhorov
Danil V. Prokhorov Toyota Motor Corporation (Japan)
Alexander N. Gorban
Alexander N. Gorban University of Leicester
Hamidreza Modares
Hamidreza Modares Michigan State University
Eduardo Alonso
Eduardo Alonso City, University of London
Ah-Hwee Tan
Ah-Hwee Tan Singapore Management University
De-Shuang Huang
De-Shuang Huang Tongji University
John Vian
John Vian Boeing (United States)
Kyriakos G. Vamvoudakis
Kyriakos G. Vamvoudakis Georgia Institute of Technology

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