World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9282
World Ranking
6817
National Ranking
410

Frank Keller 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 Frank Keller 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: 187 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Frank Keller 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 Frank Keller 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Frank Keller is affiliated with the University of Edinburgh in the United Kingdom. Their research output encompasses multiple areas within computer science, notably computer vision and artificial intelligence.

The scientist has contributed extensively to several fields of study, including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Experimental and Cognitive Psychology
  • Speech and Hearing
  • Information Systems

Their main topics of research focus on:

  • Multimodal Machine Learning Applications
  • Topic Modeling
  • Video Analysis and Summarization
  • Natural Language Processing Techniques
  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications

Frank Keller has published various papers in established venues. Some of their recent works include:

  • "Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Would patients undergo postoperative follow-up by using a smartphone application?" 2020, BMC Surgery
  • "Modeling task effects in human reading with neural network-based attention," 2022, Cognition
  • "Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form Stories," 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "Detecting and Grounding Important Characters in Visual Stories," 2023, Proceedings of the AAAI Conference on Artificial Intelligence

Their frequent co-authors include:

  • Laura Sevilla-Lara
  • Marcus Rohrbach
  • Shreyank N Gowda
  • Hakan Bilen
  • Mirella Lapata

Common publication venues for Frank Keller include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • BMC Surgery
  • Cognition

Best Publications

  • Data from Eye-Tracking Corpora as Evidence for Theories of Syntactic Processing Complexity.

    Vera Demberg;Frank Keller

  • Gradience in Grammar: Experimental and Computational Aspects of Degrees of Grammaticality

    Frank Keller

  • Using the web to obtain frequencies for unseen bigrams

    Frank Keller;Mirella Lapata

  • Gradience in Linguistic Data

    Antonella Sorace;Frank Keller

  • Automatic description generation from images: a survey of models, datasets, and evaluation measures

    Raffaella Bernardi;Ruket Cakici;Desmond Elliott;Aykut Erdem

  • A computational cognitive model of syntactic priming.

    David Reitter;Frank Keller;Johanna D. Moore

  • Image Description using Visual Dependency Representations

    Desmond Elliott;Frank Keller

  • Extreme Clicking for Efficient Object Annotation

    Dim P. Papadopoulos;Jasper R. R. Uijlings;Frank Keller;Vittorio Ferrari

  • Web-based models for natural language processing

    Mirella Lapata;Frank Keller

  • Locality, Cyclicity, and Resumption: At the Interface between the Grammar and the Human Sentence Processor

    Theodora Alexopoulou;Frank Keller

  • Linear Optimality Theory as a Model of Gradience in Grammar

    Frank Keller

  • Training Object Class Detectors from Eye Tracking Data

    Dim P. Papadopoulos;Alasdair D. F. Clarke;Frank Keller;Vittorio Ferrari

  • Timing accuracy of Web experiments: A case study using the WebExp software package

    Frank Keller;Subahshini Gunasekharan;Neil Mayo;Martin Corley

  • Priming of Syntactic Rules in Task-Oriented Dialogue and Spontaneous Conversation

    David Reitter;Johanna D. Moore;Frank Keller

  • We Don’t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification

    Dim P. Papadopoulos;Jasper R. R. Uijlings;Frank Keller;Vittorio Ferrari

  • Phonology competes with syntax: experimental evidence for the interaction of word order and accent placement in the realization of Information Structure

    Frank Keller;Theodora Alexopoulou

  • Comparing Automatic Evaluation Measures for Image Description

    Desmond Elliott;Frank Keller

  • Using the Web to Overcome Data Sparseness

    Frank Keller;Maria Lapata;Olga Ourioupina

  • Probabilistic Parsing for German Using Sister-Head Dependencies

    Amit Dubey;Frank Keller

  • The Web as a Baseline: Evaluating the Performance of Unsupervised Web-based Models for a Range of NLP Tasks

    Mirella Lapata;Frank Keller

  • Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, October 25-29, 2014, Doha, Qatar, A meeting of SIGDAT, a Special Interest Group of the ACL

    Ioannis Konstas;Frank Keller;Vera Demberg;Mirella Lapata

  • Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL 2004

    Mirella Lapata;Frank Keller

  • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics

    Maria Barrett;Joachim Bingel;Frank Keller;Anders Søgaard

Frequent Co-Authors

Mirella Lapata
Mirella Lapata University of Edinburgh
Patrick Sturt
Patrick Sturt University of Edinburgh
Vittorio Ferrari
Vittorio Ferrari Google (United States)
Jasper Uijlings
Jasper Uijlings Google (United States)
Christoph Scheepers
Christoph Scheepers University of Glasgow
Sharon Goldwater
Sharon Goldwater University of Edinburgh
Antonella Sorace
Antonella Sorace University of Edinburgh
Martin Corley
Martin Corley University of Edinburgh
Anders Søgaard
Anders Søgaard University of Copenhagen
Yonatan Belinkov
Yonatan Belinkov Technion – Israel Institute of Technology

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