2026 Mark Johnson: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	70	1828	1769	56	55	302	30043

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

5145
Citations
State-of-the-art in product-service systems

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

2850
Citations
SPICE: Semantic Propositional Image Caption Evaluation

Peter Anderson;Basura Fernando;Mark Johnson;Stephen Gould

1891
Citations
Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking

Eugene Charniak;Mark Johnson

1398
Citations
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments

Peter Anderson;Qi Wu;Damien Teney;Jake Bruce

1047
Citations
Effective Self-Training for Parsing

David McClosky;Eugene Charniak;Mark Johnson

738
Citations
An Improved Non-monotonic Transition System for Dependency Parsing

Matthew Honnibal;Mark Johnson

714
Citations
A Bayesian framework for word segmentation: Exploring the effects of context

Sharon Goldwater;Thomas L. Griffiths;Mark Johnson

569
Citations
Learning OT constraint rankings using a maximum entropy model

Sharon Goldwater;Mark Johnson

560
Citations
PCFG models of linguistic tree representations

Mark Johnson

492
Citations
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

471
Citations
Attribute-value logic and the theory of grammar

Mark Johnson

392
Citations
Improving Topic Models with Latent Feature Word Representations

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

376
Citations
Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques

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

366
Citations
Bayesian Inference for PCFGs via Markov Chain Monte Carlo

Mark Johnson;Thomas Griffiths;Sharon Goldwater

341
Citations
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models

Mark Johnson;Thomas L. Griffiths;Sharon Goldwater

336
Citations
Reranking and Self-Training for Parser Adaptation

David McClosky;Eugene Charniak;Mark Johnson

317
Citations
Contextual Dependencies in Unsupervised Word Segmentation

Sharon Goldwater;Thomas L. Griffiths;Mark Johnson

311
Citations
Memory requirements and local ambiguities of parsing strategies

Steven P. Abney;Mark Johnson

295
Citations
Interpolating between types and tokens by estimating power-law generators

Sharon Goldwater;Mark Johnson;Thomas L. Griffiths

285
Citations
Estimators for Stochastic "Unification-Based" Grammars

Mark Johnson;Stuart Geman;Stephen Canon;Zhiyi Chi

260
Citations
nocaps: novel object captioning at scale.

Harsh Agrawal;Karan Desai;Yufei Wang;Xinlei Chen

247
Citations

Frequent Co-Authors

Sharon Goldwater University of Edinburgh

Eugene Charniak Brown University

Stephen Gould Australian National University

Massimiliano Ciaramita Google (United States)

Katherine Demuth Macquarie University

Robert Langer MIT

Roger D. Kamm MIT

Mark Steedman University of Edinburgh

Emmanuel Dupoux School for Advanced Studies in the Social Sciences

Stefan Riezler Heidelberg University

External Links

Personal website of Mark Johnson Google Scholar page

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