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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 48 5987 5815 359 355 64 82027

Daan Wierstra publications per year

The chart shows the history of publications by Daan Wierstra between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Daan Wierstra published across 22 years, from 2004 to 2025, averaging 2.9 papers a year. Output peaked at 10 publications in 2017. 2 of the 64 publications appeared in the last two years.

No. of publications
2 4 6 8 10
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 10. Peak 10 publications in 2017. 2004: 1 publication 2005: 3 publications 2006: 1 publication 2007: 3 publications 2008: 3 publications 2009: 7 publications 2010: 4 publications 2011: 4 publications 2012: 0 publications 2013: 1 publication 2014: 5 publications 2015: 4 publications 2016: 9 publications 2017: 10 publications 2018: 6 publications 2019: 1 publication 2020: 0 publications 2021: 0 publications 2022: 0 publications 2023: 0 publications 2024: 1 publication 2025: 1 publication
2004 2025

64 publications in total across all disciplines

View publications per year as a table
Daan Wierstra: publications per year, 2004 to 2025
Year Publications
2004 1
2005 3
2006 1
2007 3
2008 3
2009 7
2010 4
2011 4
2012 0
2013 1
2014 5
2015 4
2016 9
2017 10
2018 6
2019 1
2020 0
2021 0
2022 0
2023 0
2024 1
2025 1
Total 64
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Daan Wierstra publications per year - data summary

  • Daan Wierstra, a Computer Science scholar from DeepMind (United Kingdom), has 64 publications recorded across 22 years, from 2004 to 2025.
  • The oldest publication on record dates to 2004 and the most recent to 2025.
  • The most productive year is 2017, with 10 publications.
  • The least productive years with any output are 2004, 2006, 2013, 2019 and others, with 1 publication each.
  • 5 of the 22 years in the span carry no publications at all (2012, 2020, 2021, 2022 and others).
  • The rate of publication averages 2.9 papers per year over the whole span, or 3.8 per year counting only the 17 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 2 publications, 3% of the career total.
  • Split into equal eras - 2004-2011: 26 publications (3.3 per year); 2012-2019: 36 publications (4.5 per year); 2020-2025: 2 publications (0.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is declining.

Daan Wierstra 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 Daan Wierstra sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 62–71 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 64 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134 64
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
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Daan Wierstra publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Daan Wierstra, a Computer Science scholar from DeepMind (United Kingdom), records 64 publications - the 1st percentile of the discipline.
  • 1% of ranked Computer Science scientists score the same or lower than Daan Wierstra, and about 99% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Daan Wierstra ranks below the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Daan Wierstra 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 Daan Wierstra sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 48–49 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 48 D-Index — 58th percentile

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

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543 48
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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Daan Wierstra D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Daan Wierstra, a Computer Science scholar from DeepMind (United Kingdom), records 48 D-Index - the 58th percentile of the discipline.
  • 58% of ranked Computer Science scientists score the same or lower than Daan Wierstra, and about 42% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Daan Wierstra ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Overview

Daan Wierstra is affiliated with DeepMind in the United Kingdom. Their work spans the field of computer science, with a focus on artificial intelligence, statistical and nonlinear physics, computer vision and pattern recognition, as well as computer science applications.

The scientist's research covers several main topics, including:

  • Advanced Graph Neural Networks
  • Bayesian Modeling and Causal Inference
  • Complex Network Analysis Techniques
  • Robotic Path Planning Algorithms
  • Teaching and Learning Programming

Wierstra's recent papers demonstrate engagement with problems in scheduling, embodied agents, and scalability in simulated environments. Notable publications include:

  • "Understanding the Impact of Value Selection Heuristics in Scheduling Problems," 2025, arXiv (Cornell University)
  • "Scaling Instructable Agents Across Many Simulated Worlds," 2024, arXiv (Cornell University)
  • "SIMA 2: A Generalist Embodied Agent for Virtual Worlds," 2025, arXiv (Cornell University)

Frequent co-authors in Wierstra's work include:

  • Ryan Faulkner
  • SIMA Team
  • Maria Abi Raad
  • Frederic Besse
  • Adrian Bolton

Wierstra's publications are primarily found in arXiv, a platform known for preprints and early dissemination of research findings. This venue features three of their recorded publications.

The combination of Wierstra's research topics and publication record indicates a focus on integrating machine learning techniques with complex systems, particularly in environments requiring autonomous decision-making and instruction following. Their work also touches upon programming education within the context of artificial intelligence advancements.

Best Publications

  • Human-level control through deep reinforcement learning

    Volodymyr Mnih;Koray Kavukcuoglu;David Silver;Andrei A. Rusu

  • Continuous control with deep reinforcement learning

    Timothy P. Lillicrap;Jonathan J. Hunt;Alexander Pritzel;Nicolas Heess

  • Playing Atari with Deep Reinforcement Learning

    Volodymyr Mnih;Koray Kavukcuoglu;David Silver;Alex Graves

  • Matching networks for one shot learning

    Oriol Vinyals;Charles Blundell;Timothy Lillicrap;Koray Kavukcuoglu

  • Stochastic Backpropagation and Approximate Inference in Deep Generative Models

    Danilo Jimenez Rezende;Shakir Mohamed;Daan Wierstra

  • Relational inductive biases, deep learning, and graph networks

    Peter W. Battaglia;Jessica B. Hamrick;Victor Bapst;Alvaro Sanchez-Gonzalez

  • Deterministic Policy Gradient Algorithms

    David Silver;Guy Lever;Nicolas Heess;Thomas Degris

  • Weight Uncertainty in Neural Network

    Charles Blundell;Julien Cornebise;Koray Kavukcuoglu;Daan Wierstra

  • DRAW: A Recurrent Neural Network For Image Generation

    Karol Gregor;Ivo Danihelka;Alex Graves;Danilo Rezende

  • Weight Uncertainty in Neural Networks

    Charles Blundell;Julien Cornebise;Koray Kavukcuoglu;Daan Wierstra

  • Meta-learning with memory-augmented neural networks

    Adam Santoro;Sergey Bartunov;Matthew Botvinick;Daan Wierstra

  • PathNet: Evolution Channels Gradient Descent in Super Neural Networks

    Chrisantha Fernando;Dylan Banarse;Charles Blundell;Yori Zwols

  • Natural Evolution Strategies

    D. Wierstra;T. Schaul;J. Peters;J. Schmidhuber

  • Natural evolution strategies

    Daan Wierstra;Tom Schaul;Tobias Glasmachers;Yi Sun

  • Neural scene representation and rendering

    S. M. Ali Eslami;Danilo Jimenez Rezende;Frederic Besse;Fabio Viola

  • One-shot Learning with Memory-Augmented Neural Networks

    Adam Santoro;Sergey Bartunov;Matthew Botvinick;Daan Wierstra

  • Training Recurrent Networks by Evolino

    Jürgen Schmidhuber;Daan Wierstra;Matteo Gagliolo;Faustino Gomez

  • Imagination-Augmented Agents for Deep Reinforcement Learning

    Sébastien Racanière;Theophane Weber;David P. Reichert;Lars Buesing

  • A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks

    H. Mayer;F. Gomez;D. Wierstra;I. Nagy

  • One-shot generalization in deep generative models

    Danilo J. Rezende;Shakir Mohamed;Ivo Danihelka;Karol Gregor

  • Deep AutoRegressive Networks

    Karol Gregor;Ivo Danihelka;Andriy Mnih;Charles Blundell

Frequent Co-Authors

Jürgen Schmidhuber
Jürgen Schmidhuber King Abdullah University of Science and Technology
Danilo Jimenez Rezende
Danilo Jimenez Rezende DeepMind (United Kingdom)
Tom Schaul
Tom Schaul DeepMind (United Kingdom)
Oriol Vinyals
Oriol Vinyals DeepMind (United Kingdom)
Charles Blundell
Charles Blundell DeepMind (United Kingdom)
Demis Hassabis
Demis Hassabis Google (United States)
Timothy P. Lillicrap
Timothy P. Lillicrap University College London
David Silver
David Silver DeepMind (United Kingdom)
Faustino Gomez
Faustino Gomez Dalle Molle Institute for Artificial Intelligence Research
Koray Kavukcuoglu
Koray Kavukcuoglu DeepMind (United Kingdom)

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