World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
15936
World Ranking
6359
National Ranking
1743

Patrick van der Smagt 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 Patrick van der Smagt 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: 184 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Patrick van der Smagt 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 Patrick van der Smagt 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: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Patrick van der Smagt is affiliated with Volkswagen Group in the United States. Their research spans multiple fields within computer science and engineering, focusing extensively on artificial intelligence, robotics, and astrophysics. They have contributed significantly to topics such as reinforcement learning in robotics, generative adversarial networks, advanced vision and imaging, as well as studies related to gamma-ray bursts, supernovae, and broader stellar and galactic phenomena.

Their recent publications reflect a diverse range of interests and applications. Notable papers include:

  • Layerwise learning for quantum neural networks, 2021, Quantum Machine Intelligence
  • Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation, 2021, IEEE Transactions on Robotics
  • Learning to Fly via Deep Model-Based Reinforcement Learning, 2020, arXiv (Cornell University)
  • Dalek: A Deep Learning Emulator for TARDIS, 2021, The Astrophysical Journal Letters
  • Probabilistic Reconstruction of Type Ia Supernova SN 2002bo, 2021, The Astrophysical Journal Letters

They frequently collaborate with several researchers, including Nutan Chen, Wolfgang Kerzendorf, Maximilian Karl, Johannes Büchner, and C. Vogl.

The scientist's work appears regularly in publication venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • The Astrophysical Journal Letters
  • Computer Methods in Applied Mechanics and Engineering
  • The Astrophysical Journal

Patrick van der Smagt's main areas of study include:

  • Computer Science
  • Engineering

Within these, subfields they frequently investigate are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Astronomy and Astrophysics
  • Control and Systems Engineering
  • Biomedical Engineering

Key topics of their research include:

  • Gamma-ray bursts and supernovae
  • Reinforcement Learning in Robotics
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Robot Manipulation and Learning
  • Robotics and Sensor-Based Localization
  • Stellar, planetary, and galactic studies

Best Publications

  • FlowNet: Learning Optical Flow with Convolutional Networks

    Alexey Dosovitskiy;Philipp Fischery;Eddy Ilg;Philip Hausser

  • Reach and grasp by people with tetraplegia using a neurally controlled robotic arm

    Leigh Robert Hochberg;Daniel Bacher;Beata Jarosiewicz;Beata Jarosiewicz;Nicolas Y. Masse

  • An introduction to Neural Networks

    Ben Kröse;Patrick van der Smagt

  • FlowNet: Learning Optical Flow with Convolutional Networks

    Philipp Fischer;Alexey Dosovitskiy;Eddy Ilg;Philip Häusser

  • Surface EMG in advanced hand prosthetics

    Claudio Castellini;Patrick van der Smagt

  • Layerwise learning for quantum neural networks

    Andrea Skolik;Jarrod McClean;Masoud Mohseni;Patrick van der Smagt

  • Minimisation methods for training feedforward neural networks

    P. Patrick van der Smagt

  • Building the Ninapro database: A resource for the biorobotics community

    Manfredo Atzori;Arjan Gijsberts;Simone Heynen;Anne-Gabrielle Mittaz Hager

  • Learning EMG control of a robotic hand: towards active prostheses

    Unknown

  • Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data.

    Maximilian Karl;Maximilian Soelch;Justin Bayer;Patrick van der Smagt

  • CNN-based Segmentation of Medical Imaging Data.

    Baris Kayalibay;Grady Jensen;Patrick van der Smagt

  • Neural network control of a pneumatic robot arm

    T. Hesselroth;K. Sarkar;P.P. van der Smagt;K. Schulten

  • Robots Driven by Compliant Actuators: Optimal Control Under Actuation Constraints

    David J. Braun;Florian Petit;Felix Huber;Sami Haddadin

  • Learning techniques in a dataglove based telemanipulation system for the DLR hand

    M. Fischer;P. van der Smagt;G. Hirzinger

  • Stable reinforcement learning with autoencoders for tactile and visual data

    Herke van Hoof;Nutan Chen;Maximilian Karl;Patrick van der Smagt

  • Two-stream RNN/CNN for action recognition in 3D videos

    Rui Zhao;Haider Ali;Patrick van der Smagt

  • Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform.

    Egidio Falotico;Lorenzo Vannucci;Alessandro Ambrosano;Ugo Albanese

  • EMG-based teleoperation and manipulation with the DLR LWR-III

    Jorn Vogel;Claudio Castellini;Patrick van der Smagt

  • Human hand modelling: kinematics, dynamics, applications

    Agneta Gustus;Georg Stillfried;Judith Visser;Henrik Jörntell

  • Antagonism for a Highly Anthropomorphic Hand-Arm System

    Markus Grebenstein;P. Patrick van der Smagt

  • Analysis and control of a rubbertuator arm

    P.P.P. van der Smagt;F.C.A. Groen;K.A.J. Schulten

  • Image Super-Resolution with Fast Approximate Convolutional Sparse Coding

    Christian Osendorfer;Hubert Soyer;Patrick van der Smagt

  • Sequential feature selection for classification

    Thomas Rückstieß;Christian Osendorfer;Patrick van der Smagt

Frequent Co-Authors

Claudio Castellini
Claudio Castellini University of Erlangen-Nuremberg
Sami Haddadin
Sami Haddadin Mohamed bin Zayed University of Artificial Intelligence
Jan Peters
Jan Peters Technical University of Darmstadt
John P. Donoghue
John P. Donoghue Brown University
Gerd Hirzinger
Gerd Hirzinger German Aerospace Center
Alois Knoll
Alois Knoll Technical University of Munich
Eduardo Ros
Eduardo Ros University of Granada
Leigh R. Hochberg
Leigh R. Hochberg Harvard University
Frans C. A. Groen
Frans C. A. Groen University of Amsterdam
Markus Grebenstein
Markus Grebenstein German Aerospace Center

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