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Hilbert J. Kappen

Hilbert J. Kappen

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
7124
World Ranking
7266
National Ranking
143

Hilbert J. Kappen publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Hilbert J. Kappen sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 203 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Hilbert J. Kappen D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Hilbert J. Kappen sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Hilbert J. Kappen is affiliated with Radboud University in the Netherlands. Their research spans multiple disciplines within computer science and physics, focusing strongly on artificial intelligence and quantum computing.

The primary fields of study for Kappen include:

  • Computer Science
  • Physics and Astronomy

Their work covers various subfields, prominently featuring:

  • Artificial Intelligence
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering
  • Genetics
  • Cognitive Neuroscience

Within these domains, Kappen's research addresses key topics such as:

  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Advanced Memory and Neural Computing
  • Neural Networks and Reservoir Computing
  • Quantum many-body systems
  • Cold Atom Physics and Bose-Einstein Condensates
  • Neural dynamics and brain function

Kappen has contributed to a range of publication venues. These include:

  • arXiv (Cornell University)
  • Journal of Physics A Mathematical and Theoretical
  • Nature Nanotechnology
  • Machine Learning Science and Technology
  • Genetics Selection Evolution

Among their recent papers are:

  • An atomic Boltzmann machine capable of self-adaption, 2021, Nature Nanotechnology
  • Bayesian neural networks with variable selection for prediction of genotypic values, 2020, Genetics Selection Evolution
  • Learning quantum models from quantum or classical data, 2020, Journal of Physics A Mathematical and Theoretical
  • Training quantum Boltzmann machines with the β-variational quantum eigensolver, 2024, Machine Learning Science and Technology
  • Why adiabatic quantum annealing is unlikely to yield speed-up, 2023, Journal of Physics A Mathematical and Theoretical

Kappen frequently collaborates with a consistent group of co-authors including:

  • Werner M. J. van Weerdenburg
  • Alexander A. Khajetoorians
  • Peyman Najafi
  • Aarón Villanueva
  • Eduardo Domínguez

Best Publications

  • Practical confidence and prediction intervals for prediction tasks

    T. Heskes;W.A.J.J. Wiegerinck;H.J. Kappen

  • Path integrals and symmetry breaking for optimal control theory

    H J Kappen

  • Optimal control as a graphical model inference problem

    Hilbert J. Kappen;Vicenç Gómez;Manfred Opper

  • Linear theory for control of nonlinear stochastic systems.

    Hilbert J. Kappen

  • Sufficient Conditions for Convergence of the Sum–Product Algorithm

    J.M. Mooij;H.J. Kappen

  • On tempo tracking: Tempogram Representation and Kalman filtering

    Ali Taylan Cemgil;Bert Kappen;Peter Desain;Henkjan Honing

  • Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment

    K. N. McGuire;C. De Wagter;K. Tuyls;H. J. Kappen

  • Efficient learning in Boltzmann machines using linear response theory

    H. J. Kappen;F. B. Rodríguez

  • Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone

    Kimberly McGuire;Guido de Croon;Christophe De Wagter;Karl Tuyls

  • Optimal control as a graphical model inference problem

    B. Kappen;V. Gomez;M. Opper

  • Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model

    Mohammad Gheshlaghi Azar;Rémi Munos;Hilbert J. Kappen

  • A generative model for music transcription

    A.T. Cemgil;H.J. Kappen;D. Barber

  • An introduction to stochastic control theory, path integrals and reinforcement learning

    Hilbert J. Kappen

  • Associative memory with dynamic synapses

    Lovorka Pantic;Joaquín J. Torres;Hilbert J. Kappen;Stan C. A. M. Gielen

  • Dynamic policy programming

    Mohammad Gheshlaghi Azar;Vicenç Gómez;Hilbert J. Kappen

  • On-line learning processes in artificial neural networks

    T. Heskes;H.J. Kappen

  • Speedy Q-Learning

    Mohammad Ghavamzadeh;Hilbert J. Kappen;Mohammad G. Azar;Rémi Munos

  • Learning Universal Computations with Spikes.

    Dominik Thalmeier;Marvin Uhlmann;Marvin Uhlmann;Hilbert J. Kappen;Raoul-Martin Memmesheimer;Raoul-Martin Memmesheimer

  • Adaptive Importance Sampling for Control and Inference

    Hilbert Johan Kappen;Hans Christian Ruiz

  • On the use of interaction error potentials for adaptive brain computer interfaces

    A. Llera;M. A. J. van Gerven;V. Gómez;O. Jensen

  • Path integral control and state-dependent feedback.

    Sep Thijssen;H. J. Kappen

  • Sufficient conditions for convergence of Loopy Belief Propagation

    Joris M. Mooij;Hilbert J. Kappen

  • On the properties of the Bethe approximation and loopy belief propagation on binary networks

    J M Mooij;H J Kappen

Frequent Co-Authors

Joris M. Mooij
Joris M. Mooij University of Amsterdam
Tom Heskes
Tom Heskes Radboud University
Michael Chertkov
Michael Chertkov University of Arizona
Karl Tuyls
Karl Tuyls DeepMind (United Kingdom)
Rémi Munos
Rémi Munos French Institute for Research in Computer Science and Automation - INRIA
David Barber
David Barber University College London
Mohammad Ghavamzadeh
Mohammad Ghavamzadeh Amazon (United States)
Mikhail I. Katsnelson
Mikhail I. Katsnelson Radboud University
Han G. Brunner
Han G. Brunner Radboud University
Scott Backhaus
Scott Backhaus Los Alamos National Laboratory

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