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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
70
Citations
30043
World Ranking
1828
National Ranking
56

Mark Johnson 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 Mark Johnson 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: 302 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Mark Johnson 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 Mark Johnson 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: 70 D-Index — 87th percentile

87% 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 Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Mark Johnson is affiliated with Macquarie University in Australia and has a research profile spanning Computer Science and Psychology. Their work prominently intersects artificial intelligence and developmental psychology with a focus on language and cognition.

Their main fields of study encompass:

  • Computer Science
  • Psychology

Within these areas, Johnson's subfields of study include:

  • Artificial Intelligence
  • Developmental and Educational Psychology
  • Cognitive Neuroscience
  • Computer Vision and Pattern Recognition
  • General Health Professions

Johnson's research topics highlight approaches and issues in:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Language Development and Disorders
  • Child and Animal Learning Development
  • Text Readability and Simplification
  • Multimodal Machine Learning Applications
  • Mental Health and Patient Involvement

The scientist has co-authored papers with several frequent collaborators, including:

  • Mark Steedman
  • Katherine Demuth
  • Louis Mahon
  • Omri Abend
  • Uri Berger

Johnson's publications appear primarily in venues such as:

  • arXiv (Cornell University)
  • The Journal of Clinical Psychiatry
  • First Language
  • Molecular Autism
  • Computer Speech & Language

Recent published papers include:

  • "Sources of Hallucination by Large Language Models on Inference Tasks", 2023, arXiv (Cornell University)
  • "Opening Doors to Recovery", 2023, The Journal of Clinical Psychiatry
  • "Exemplar-based learning probably requires learning abstractions: A commentary on Ambridge (2020)", 2020, First Language
  • "Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation", 2021, arXiv (Cornell University)
  • "ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning", 2021, arXiv (Cornell University)

Best Publications

  • Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

    Peter Anderson;Xiaodong He;Chris Buehler;Damien Teney

  • State-of-the-art in product-service systems

    Tim Baines;Howard W. Lightfoot;Steve Evans;Andy Neely

  • SPICE: Semantic Propositional Image Caption Evaluation

    Peter Anderson;Basura Fernando;Mark Johnson;Stephen Gould

  • Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking

    Eugene Charniak;Mark Johnson

  • Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments

    Peter Anderson;Qi Wu;Damien Teney;Jake Bruce

  • Effective Self-Training for Parsing

    David McClosky;Eugene Charniak;Mark Johnson

  • An Improved Non-monotonic Transition System for Dependency Parsing

    Matthew Honnibal;Mark Johnson

  • A Bayesian framework for word segmentation: Exploring the effects of context

    Sharon Goldwater;Thomas L. Griffiths;Mark Johnson

  • Learning OT constraint rankings using a maximum entropy model

    Sharon Goldwater;Mark Johnson

  • PCFG models of linguistic tree representations

    Mark Johnson

  • Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    Bharat Ram Ambati;Tejaswini Deoskar;Mark Johnson;Mark Steedman

  • Attribute-value logic and the theory of grammar

    Mark Johnson

  • Improving Topic Models with Latent Feature Word Representations

    Dat Quoc Nguyen;Richard Billingsley;Lan Du;Mark Johnson

  • Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques

    Stefan Riezler;Tracy H. King;Ronald M. Kaplan;Richard Crouch

  • Bayesian Inference for PCFGs via Markov Chain Monte Carlo

    Mark Johnson;Thomas Griffiths;Sharon Goldwater

  • Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models

    Mark Johnson;Thomas L. Griffiths;Sharon Goldwater

  • Reranking and Self-Training for Parser Adaptation

    David McClosky;Eugene Charniak;Mark Johnson

  • Contextual Dependencies in Unsupervised Word Segmentation

    Sharon Goldwater;Thomas L. Griffiths;Mark Johnson

  • Memory requirements and local ambiguities of parsing strategies

    Steven P. Abney;Mark Johnson

  • Interpolating between types and tokens by estimating power-law generators

    Sharon Goldwater;Mark Johnson;Thomas L. Griffiths

  • Estimators for Stochastic "Unification-Based" Grammars

    Mark Johnson;Stuart Geman;Stephen Canon;Zhiyi Chi

  • nocaps: novel object captioning at scale.

    Harsh Agrawal;Karan Desai;Yufei Wang;Xinlei Chen

Frequent Co-Authors

Sharon Goldwater
Sharon Goldwater University of Edinburgh
Eugene Charniak
Eugene Charniak Brown University
Stephen Gould
Stephen Gould Australian National University
Massimiliano Ciaramita
Massimiliano Ciaramita Google (United States)
Katherine Demuth
Katherine Demuth Macquarie University
Mark Steedman
Mark Steedman University of Edinburgh
Emmanuel Dupoux
Emmanuel Dupoux School for Advanced Studies in the Social Sciences
Stefan Riezler
Stefan Riezler Heidelberg University

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