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2025

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Rising Stars

D-Index
42
Citations
10935
World Ranking
547
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24

Computer Science

D-Index
43
Citations
12127
World Ranking
7795
National Ranking
463

Tim Rocktäschel 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 Tim Rocktäschel 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: 81 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Tim Rocktäschel 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 Tim Rocktäschel 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: 43 D-Index — 46th percentile

46% 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

  • 2025 - Research.com Rising Stars Award

Overview

Tim Rocktäschel is affiliated with University College London in the United Kingdom. Their research primarily spans the field of Computer Science, with significant contributions in Artificial Intelligence, which accounts for the majority of their publications.

Their work also crosses into related subfields such as Management Science and Operations Research, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Sociology and Political Science.

Key topics addressed in their research include:

  • Reinforcement Learning in Robotics
  • Topic Modeling
  • Natural Language Processing Techniques
  • Data Stream Mining Techniques
  • Adversarial Robustness in Machine Learning
  • Artificial Intelligence in Games
  • Explainable Artificial Intelligence (XAI)

Among Tim Rocktäschel's recent publications are:

  • "Contextual Personal Intelligence: A New Paradigm for AI That Evolves With You," 2025, arXiv (Cornell University)
  • "A Survey of Zero-shot Generalisation in Deep Reinforcement Learning," 2023, Journal of Artificial Intelligence Research
  • "How Context Affects Language Models' Factual Predictions," 2020, arXiv (Cornell University)
  • "Differentiable Reasoning on Large Knowledge Bases and Natural Language," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Learning with AMIGo: Adversarially Motivated Intrinsic Goals," 2020, arXiv (Cornell University)

Their research has been featured predominantly in venues including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of Artificial Intelligence Research
  • Royal Society Open Science

Frequent collaborators in their research network include Edward Grefenstette, Minqi Jiang, Jack Parker-Holder, Mikayel Samvelyan, and Jakob Foerster.

Best Publications

  • Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

    Patrick S. H. Lewis;Ethan Perez;Aleksandra Piktus;Fabio Petroni

  • Language Models as Knowledge Bases

    Fabio Petroni;Tim Rocktäschel;Patrick S. H. Lewis;Anton Bakhtin

  • Reasoning about Entailment with Neural Attention

    Tim Rocktäschel;Edward Grefenstette;Karl Moritz Hermann;Tomáš Ko iský;Tomáš Ko iský

  • Reasoning about Entailment with Neural Attention

    Tim Rocktäschel;Edward Grefenstette;Karl Moritz Hermann;Tomáš Kočiský

  • e-SNLI: Natural Language Inference with Natural Language Explanations

    Oana-Maria Camburu;Tim Rocktäschel;Thomas Lukasiewicz;Phil Blunsom

  • Stance detection with bidirectional conditional encoding

    Isabelle Augenstein;Tim Rocktäschel;Andreas Vlachos;Kalina Bontcheva

  • The CHEMDNER corpus of chemicals and drugs and its annotation principles.

    Martin Krallinger;Obdulia Rabal;Florian Leitner;Miguel Vazquez

  • ChemSpot: a hybrid system for chemical named entity recognition

    Tim Rocktäschel;Michael Weidlich;Ulf Leser

  • emoji2vec: Learning Emoji Representations from their Description

    Ben Eisner;Tim Rocktäschel;Isabelle Augenstein;Matko Bosnjak

  • Injecting Logical Background Knowledge into Embeddings for Relation Extraction

    Tim Rocktäschel;Sameer Singh;Sebastian Riedel

  • KILT: a Benchmark for Knowledge Intensive Language Tasks

    Fabio Petroni;Aleksandra Piktus;Angela Fan;Patrick S. H. Lewis

  • End-to-end differentiable proving

    Tim Rocktäschel;Sebastian Riedel

  • A Survey of Reinforcement Learning Informed by Natural Language

    Jelena Luketina;Nantas Nardelli;Nantas Nardelli;Gregory Farquhar;Gregory Farquhar;Jakob N. Foerster

  • A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

    Unknown

  • Interpretation of Natural Language Rules in Conversational Machine Reading

    Marzieh Saeidi;Max Bartolo;Patrick S. H. Lewis;Sameer Singh

  • Lifted Rule Injection for Relation Embeddings

    Thomas Demeester;Tim Rocktäschel;Sebastian Riedel

  • Learning to Speak and Act in a Fantasy Text Adventure Game

    Jack Urbanek;Angela Fan;Siddharth Karamcheti;Saachi Jain

  • How Context Affects Language Models' Factual Predictions

    Fabio Petroni;Patrick S. H. Lewis;Aleksandra Piktus;Tim Rocktäschel

  • Programming with a differentiable forth interpreter

    Matko Bošnjak;Tim Rocktäschel;Jason Naradowsky;Sebastian Riedel

  • Frustratingly short attention spans in neural language modeling

    Michal Daniluk;Tim Rocktäschel;Johannes Welbl;Sebastian Riedel

  • RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments

    Roberta Raileanu;Tim Rocktäschel

  • The NetHack Learning Environment

    Heinrich Küttler;Nantas Nardelli;Alexander H. Miller;Roberta Raileanu

Frequent Co-Authors

Sebastian Riedel
Sebastian Riedel University College London
Edward Grefenstette
Edward Grefenstette University College London
Shimon Whiteson
Shimon Whiteson University of Oxford
Jakob Foerster
Jakob Foerster University of Oxford
Ulf Leser
Ulf Leser Humboldt-Universität zu Berlin
Sameer Singh
Sameer Singh University of California, Irvine
Arthur Szlam
Arthur Szlam DeepMind (United Kingdom)
Jason Weston
Jason Weston Facebook (United States)
Isabelle Augenstein
Isabelle Augenstein University of Copenhagen
Douwe Kiela
Douwe Kiela Stanford University

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