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2025

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Rising Stars

D-Index
57
Citations
17229
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188
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24

Computer Science

D-Index
57
Citations
16549
World Ranking
3773
National Ranking
1802

Douwe Kiela 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 Douwe Kiela 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: 113 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Douwe Kiela 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 Douwe Kiela 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: 57 D-Index — 74th percentile

74% 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

Douwe Kiela is affiliated with Stanford University in the United States and has made contributions primarily in the field of Computer Science, with a focus on Artificial Intelligence.

The researcher's work spans several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Control and Systems Engineering
  • Cognitive Neuroscience

The main topics covered in their research include:

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

Douwe Kiela has published extensively in a variety of venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Science

Recent papers authored or coauthored by Douwe Kiela are:

  • Contextual Personal Intelligence: A New Paradigm for AI That Evolves With You (2025), arXiv (Cornell University)
  • FLAVA: A Foundational Language And Vision Alignment Model (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • True Few-Shot Learning with Language Models (2021), arXiv (Cornell University)
  • Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little (2021), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborators include:

  • Tristan Thrush
  • Adina Williams
  • Robin Jia
  • Amanpreet Singh
  • Joëlle Pineau

Best Publications

  • Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

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

  • Supervised learning of universal sentence representations from natural language inference data

    Alexis Conneau;Douwe Kiela;Holger Schwenk;Loïc Barrault

  • Personalizing Dialogue Agents: I have a dog, do you have pets too?

    Saizheng Zhang;Emily Dinan;Jack Urbanek;Arthur Szlam

  • Poincaré Embeddings for Learning Hierarchical Representations

    Maximillian Nickel;Douwe Kiela

  • Adversarial NLI: A New Benchmark for Natural Language Understanding

    Yixin Nie;Adina Williams;Emily Dinan;Mohit Bansal

  • SentEval: An Evaluation Toolkit for Universal Sentence Representations

    Alexis Conneau;Douwe Kiela

  • The Second Conversational Intelligence Challenge (ConvAI2)

    Emily Dinan;Varvara Logacheva;Valentin Malykh;Alexander H. Miller

  • Retrieval Augmentation Reduces Hallucination in Conversation

    Kurt Shuster;Spencer Poff;Moya Chen;Douwe Kiela

  • Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics

    Douwe Kiela;Léon Bottou

  • What makes a good conversation? How controllable attributes affect human judgments

    Abigail See;Stephen Roller;Douwe Kiela;Jason Weston

  • Black Holes and White Rabbits: Metaphor Identification with Visual Features

    Ekaterina Shutova;Douwe Kiela;Jean Maillard

  • A Systematic Study of Semantic Vector Space Model Parameters

    Douwe Kiela;Stephen Clark

  • True Few-Shot Learning with Language Models

    Ethan Perez;Douwe Kiela;Kyunghyun Cho

  • Dynabench: Rethinking Benchmarking in NLP.

    Douwe Kiela;Max Bartolo;Yixin Nie;Divyansh Kaushik

  • Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

    Koustuv Sinha;Robin Jia;Dieuwke Hupkes;Joelle Pineau

  • Poincar'e Embeddings for Learning Hierarchical Representations

    Maximilian Nickel;Douwe Kiela

  • The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes

    Douwe Kiela;Hamed Firooz;Aravind Mohan;Vedanuj Goswami

  • Supervised Multimodal Bitransformers for Classifying Images and Text

    Douwe Kiela;Suvrat Bhooshan;Hamed Firooz;Ethan Perez

  • Specializing Word Embeddings for Similarity or Relatedness

    Douwe Kiela;Felix Hill;Stephen Clark

  • Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation

    Emily Dinan;Angela Fan;Adina Williams;Jack Urbanek

  • Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection

    Bertie Vidgen;Tristan Thrush;Zeerak Waseem;Douwe Kiela

  • Hyperbolic Graph Neural Networks

    Qi Liu;Maximilian Nickel;Douwe Kiela

  • Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

    Wenhan Xiong;Xiang Lorraine Li;Srini Iyer;Jingfei Du

  • Supervised Multimodal Bitransformers for Classifying Images and Text.

    Douwe Kiela;Suvrat Bhooshan;Hamed Firooz;Davide Testuggine

Frequent Co-Authors

Jason Weston
Jason Weston Facebook (United States)
Stephen Clark
Stephen Clark Cambridge Quantum Computing
Arthur Szlam
Arthur Szlam DeepMind (United Kingdom)
Joelle Pineau
Joelle Pineau McGill University
Sebastian Riedel
Sebastian Riedel University College London
Mohit Bansal
Mohit Bansal University of North Carolina at Chapel Hill
Anna Korhonen
Anna Korhonen University of Cambridge
Wen-tau Yih
Wen-tau Yih Facebook (United States)
Felix Hill
Felix Hill Google (United States)
Kyunghyun Cho
Kyunghyun Cho New York University

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