World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7605
World Ranking
8370
National Ranking
408

Gerhard Neumann 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 Gerhard Neumann 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Gerhard Neumann 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 Gerhard Neumann 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: 42 D-Index — 43rd percentile

43% 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

  • 1970 - Fellow of American Geophysical Union (AGU)

Overview

Gerhard Neumann is affiliated with the Karlsruhe Institute of Technology in Germany. Their professional work is linked primarily to this institution, which is notable within the scientific community.

Their research contributions have been recognized with notable distinctions, including being named a Fellow of the American Geophysical Union (AGU) in 1970.

Although specific details about Gerhard Neumann's publications, research topics, coauthors, or subfields of study are not available, the recognition by the AGU indicates involvement in geophysical or earth science research areas.

Best Publications

  • A Survey on Policy Search for Robotics

    Marc Peter Deisenroth;Gerhard Neumann;Jan Peters

  • An Algorithmic Perspective on Imitation Learning

    Takayuki Osa;Joni Pajarinen;Gerhard Neumann;J. Andrew Bagnell

  • Probabilistic Movement Primitives

    Alexandros Paraschos;Christian Daniel;Jan Peters;Gerhard Neumann

  • Interaction primitives for human-robot cooperation tasks

    H. Ben Amor;Gerhard Neumann;S. Kamthe;O. Kroemer

  • Policy evaluation with temporal differences: a survey and comparison

    Christoph Dann;Gerhard Neumann;Jan Peters

  • Using probabilistic movement primitives in robotics

    Alexandros Paraschos;Christian Daniel;Jan Peters;Jan Peters;Gerhard Neumann

  • Probabilistic movement primitives for coordination of multiple human---robot collaborative tasks

    Guilherme J. Maeda;Gerhard Neumann;Marco Ewerton;Rudolf Lioutikov

  • Learning robot in-hand manipulation with tactile features

    Herke van Hoof;Tucker Hermans;Gerhard Neumann;Jan Peters

  • Deep Reinforcement Learning for Swarm Systems

    Maximilian Hüttenrauch;Adrian Šošić;Gerhard Neumann

  • Hierarchical Relative Entropy Policy Search

    Christian Daniel;Gerhard Neumann;Oliver Kroemer;Jan Peters

  • A survey of preference-based reinforcement learning methods

    Christian Wirth;Riad Akrour;Gerhard Neumann;Johannes Fürnkranz

  • Towards learning hierarchical skills for multi-phase manipulation tasks

    Oliver Kroemer;Christian Daniel;Gerhard Neumann;Herke van Hoof

  • Data-efficient generalization of robot skills with contextual policy search

    Andras Gabor Kupcsik;Marc Peter Deisenroth;Jan Peters;Gerhard Neumann

  • Learning multiple collaborative tasks with a mixture of Interaction Primitives

    Marco Ewerton;Gerhard Neumann;Rudolf Lioutikov;Heni Ben Amor

  • Guided Deep Reinforcement Learning for Swarm Systems

    Maximilian Hüttenrauch;Adrian Sosic;Gerhard Neumann

  • Probabilistic inference for determining options in reinforcement learning

    Christian Daniel;Herke Van Hoof;Jan Peters;Gerhard Neumann

  • Generalization of human grasping for multi-fingered robot hands

    Heni Ben Amor;Oliver Kroemer;Ulrich Hillenbrand;Gerhard Neumann

  • Learning interaction for collaborative tasks with probabilistic movement primitives

    Guilherme Maeda;Marco Ewerton;Rudolf Lioutikov;Heni Ben Amor

  • Variational Inference for Policy Search in changing situations

    Gerhard Neumann

  • Model-based contextual policy search for data-efficient generalization of robot skills

    Andras Kupcsik;Marc Peter Deisenroth;Jan Peters;Ai Poh Loh

  • Model-free preference-based reinforcement learning

    Christian Wirth;Johannes Fürnkranz;Gerhard Neumann

Frequent Co-Authors

Jan Peters
Jan Peters Technical University of Darmstadt
Wolfgang Maass
Wolfgang Maass Graz University of Technology
Marc Peter Deisenroth
Marc Peter Deisenroth University College London
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Auke Jan Ijspeert
Auke Jan Ijspeert École Polytechnique Fédérale de Lausanne
Johannes Fürnkranz
Johannes Fürnkranz Johannes Kepler University of Linz
Hongnian Yu
Hongnian Yu Edinburgh Napier University
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Paolo Robuffo Giordano
Paolo Robuffo Giordano Max Planck Institute for Biological Cybernetics
Pieter Abbeel
Pieter Abbeel University of California, Berkeley

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