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Computer Science
Saudi Arabia
2026
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Computer Science
Switzerland
2023

D-Index & Metrics

Computer Science

D-Index
113
Citations
230372
World Ranking
194
National Ranking
1

Jürgen Schmidhuber 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 Jürgen Schmidhuber 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: 530 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.

Jürgen Schmidhuber 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 Jürgen Schmidhuber 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: 113 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2025 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2023 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Jürgen Schmidhuber is affiliated with King Abdullah University of Science and Technology in Saudi Arabia. Their research contributions primarily span the field of Computer Science, with a strong focus on Artificial Intelligence and related subfields.

Their work covers several subfields of study, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering
  • Management Science and Operations Research

Core topics in their research include:

  • Reinforcement Learning in Robotics
  • Topic Modeling
  • Neural Networks and Applications
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Explainable Artificial Intelligence (XAI)

Frequent co-authors in their collaborative work consist of:

  • Kazuki Irie
  • Francesco Faccio
  • Róbert Csordás
  • Dylan R. Ashley
  • Louis Kirsch

The venues most often featuring their publications include:

  • arXiv (Cornell University)
  • Neural Computation
  • Zenodo (CERN European Organization for Nuclear Research)
  • Neural Networks
  • Proceedings of the AAAI Conference on Artificial Intelligence

Selected recent papers by Jürgen Schmidhuber demonstrate a focus on neural network theory and generative models:

  • Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991), 2020, Neural Networks
  • On the Binding Problem in Artificial Neural Networks, 2020, arXiv (Cornell University)
  • Reagent prediction with a molecular transformer improves reaction data quality, 2023, Chemical Science
  • Investigating object compositionality in Generative Adversarial Networks, 2020, Neural Networks
  • Linear Transformers Are Secretly Fast Weight Programmers, 2021, arXiv (Cornell University)

Best Publications

  • Long short-term memory

    Sepp Hochreiter;Jürgen Schmidhuber

  • Deep learning in neural networks

    Jürgen Schmidhuber

  • Learning to Forget: Continual Prediction with LSTM

    Felix A. Gers;Jürgen A. Schmidhuber;Fred A. Cummins

  • LSTM: A Search Space Odyssey

    Klaus Greff;Rupesh K. Srivastava;Jan Koutnik;Bas R. Steunebrink

  • Multi-column deep neural networks for image classification

    Dan Cireşan;Ueli Meier;Juergen Schmidhuber

  • Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks

    Alex Graves;Santiago Fernández;Faustino Gomez;Jürgen Schmidhuber

  • Learning to forget: continual prediction with LSTM

    F.A. Gers;J. Schmidhuber;F. Cummins

  • 2005 Special Issue: Framewise phoneme classification with bidirectional LSTM and other neural network architectures

    Alex Graves;Jürgen Schmidhuber

  • Framewise phoneme classification with bidirectional LSTM and other neural network architectures

    Alex Graves;Jürgen Schmidhuber

  • A Novel Connectionist System for Unconstrained Handwriting Recognition

    A. Graves;M. Liwicki;S. Fernandez;R. Bertolami

  • Stacked convolutional auto-encoders for hierarchical feature extraction

    Jonathan Masci;Ueli Meier;Dan Cireşan;Jürgen Schmidhuber

  • Mitosis detection in breast cancer histology images with deep neural networks.

    Dan Claudio Ciresan;Alessandro Giusti;Luca Maria Gambardella;Juergen Schmidhuber

  • Flexible, high performance convolutional neural networks for image classification

    Dan C. Cireşan;Ueli Meier;Jonathan Masci;Luca M. Gambardella

  • Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images

    Dan Ciresan;Alessandro Giusti;Luca M. Gambardella;Jürgen Schmidhuber

  • Learning precise timing with lstm recurrent networks

    Felix A. Gers;Nicol N. Schraudolph;Jürgen Schmidhuber

  • Deep, big, simple neural nets for handwritten digit recognition

    Dan Claudiu Cireşan;Ueli Meier;Luca Maria Gambardella;Jürgen Schmidhuber

  • Training very deep networks

    Rupesh Kumar Srivastava;Klaus Greff;Jürgen Schmidhuber

  • 2012 Special Issue: Multi-column deep neural network for traffic sign classification

    Dan CireşAn;Ueli Meier;Jonathan Masci;JüRgen Schmidhuber

  • Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks

    Alex Graves;Jürgen Schmidhuber

  • Modeling Attacks on Physical Unclonable Functions.

    Ulrich Rührmair;Frank Sehnke;Jan Sölter;Gideon Dror

Frequent Co-Authors

Faustino Gomez
Faustino Gomez Dalle Molle Institute for Artificial Intelligence Research
Alex Graves
Alex Graves Google (United States)
Tom Schaul
Tom Schaul DeepMind (United Kingdom)
Daan Wierstra
Daan Wierstra DeepMind (United Kingdom)
Luca Maria Gambardella
Luca Maria Gambardella Dalle Molle Institute for Artificial Intelligence Research
Marco Wiering
Marco Wiering University of Groningen
Julian Togelius
Julian Togelius New York University
Douglas Eck
Douglas Eck Google (United States)
Sepp Hochreiter
Sepp Hochreiter Johannes Kepler University of Linz
Michael Wand
Michael Wand Johannes Gutenberg University of Mainz

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