World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5745
World Ranking
10286
National Ranking
517

Jochen J. Steil 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 Jochen J. Steil 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: 234 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Jochen J. Steil 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 Jochen J. Steil 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Jochen J. Steil is affiliated with Technische Universität Braunschweig in Germany and has a research profile primarily focused on engineering and computer science. Their work spans multiple subfields including artificial intelligence, control and systems engineering, biomedical engineering, social psychology, and safety research.

The scientist's research covers a range of topics, with prominent focuses on:

  • Robot Manipulation and Learning
  • Soft Robotics and Applications
  • Prosthetics and Rehabilitation Robotics
  • Muscle Activation and Electromyography Studies
  • Ethics and Social Impacts of AI
  • Reinforcement Learning in Robotics
  • Machine Learning and Algorithms

Jochen J. Steil has published extensively in these areas, contributing to journals and conferences such as:

  • IEEE Transactions on Cognitive and Developmental Systems
  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Human Factors The Journal of the Human Factors and Ergonomics Society
  • IEEE Transactions on Medical Robotics and Bionics

Several recent papers illustrate the breadth of their work. These include:

  • "Let's Work Together: A Meta-Analysis on Robot Design Features That Enable Successful Human-Robot Interaction at Work" (2020) published in Human Factors The Journal of the Human Factors and Ergonomics Society
  • "Estimating Tip Contact Forces for Concentric Tube Continuum Robots Based on Backbone Deflection" (2020) published in IEEE Transactions on Medical Robotics and Bionics
  • "Enabling impedance-based physical human-multi-robot collaboration: Experiments with four torque-controlled manipulators" (2021) published in The International Journal of Robotics Research
  • "Efficient Online Interest-Driven Exploration for Developmental Robots" (2020) published in IEEE Transactions on Cognitive and Developmental Systems
  • "Real-Time Shape Estimation for Concentric Tube Continuum Robots with a Single Force/Torque Sensor" (2021) published in Frontiers in Robotics and AI

Frequent collaborators in their research include:

  • Niels Dehio
  • Heiko Donat
  • Christian Scheurer
  • Rania Rayyes
  • Julian Richter

Best Publications

  • Backpropagation-decorrelation: online recurrent learning with O(N) complexity

    J.J. Steil

  • Improving reservoirs using intrinsic plasticity

    Benjamin Schrauwen;Marion Wardermann;David Verstraeten;Jochen J. Steil

  • 2007 Special Issue: Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning

    Jochen J. Steil

  • Goal Babbling Permits Direct Learning of Inverse Kinematics

    M Rolf;J J Steil;M Gienger

  • Efficient Exploratory Learning of Inverse Kinematics on a Bionic Elephant Trunk

    Matthias Rolf;Jochen J. Steil

  • Platform portable anthropomorphic grasping with the bielefeld 20-DOF shadow and 9-DOF TUM hand

    F. Rothling;R. Haschke;J.J. Steil;H. Ritter

  • Constant curvature continuum kinematics as fast approximate model for the Bionic Handling Assistant

    Matthias Rolf;Jochen J. Steil

  • Task-level imitation learning using variance-based movement optimization

    Manuel Muhlig;Michael Gienger;Sven Hellbach;Jochen J. Steil

  • Multi-modal human-machine communication for instructing robot grasping tasks

    P. McGuire;J. Fritsch;J.J. Steil;F. Rothling

  • Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention

    Marco Wischnewski;Anna Belardinelli;Werner X. Schneider;Jochen J. Steil

  • A Competitive-Layer Model for Feature Binding and Sensory Segmentation

    Heiko Wersing;Jochen J. Steil;Helge J. Ritter

  • A user study on kinesthetic teaching of redundant robots in task and configuration space

    Sebastian Wrede;Christian Emmerich;Ricarda Grünberg;Arne Nordmann

  • Task-oriented quality measures for dextrous grasping

    R. Haschke;J.J. Steil;I. Steuwer;H. Ritter

  • Situated robot learning for multi-modal instruction and imitation of grasping

    Jochen J. Steil;Frank Röthling;Robert Haschke;Helge J. Ritter

  • Learning robot motions with stable dynamical systems under diffeomorphic transformations

    Klaus Neumann;Jochen J. Steil

  • Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions

    Matthias Rolf;Jochen J. Steil;Michael Gienger

  • Interactive imitation learning of object movement skills

    Manuel Mühlig;Michael Gienger;Jochen J. Steil

  • The dynamic wave expansion neural network model for robot motion planning in time-varying environments

    Dmitry V. Lebedev;Jochen J. Steil;Helge J. Ritter

  • Online learning and generalization of parts-based image representations by non-negative sparse autoencoders

    Andre Lemme;René Felix Reinhart;Jochen Jakob Steil

  • Analyzing the weight dynamics of recurrent learning algorithms

    Ulf D. Schiller;Jochen J. Steil

Frequent Co-Authors

Helge Ritter
Helge Ritter Bielefeld University
Michael Gienger
Michael Gienger Honda (Japan)
Gerhard Sagerer
Gerhard Sagerer Bielefeld University
Aude Billard
Aude Billard École Polytechnique Fédérale de Lausanne
Barbara Hammer
Barbara Hammer Bielefeld University
Benjamin Schrauwen
Benjamin Schrauwen Ghent University
Gernot A. Fink
Gernot A. Fink TU Dortmund University
Stefan Kopp
Stefan Kopp Bielefeld University
Martin A. Giese
Martin A. Giese University of Tübingen
Auke Jan Ijspeert
Auke Jan Ijspeert École Polytechnique Fédérale de Lausanne

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