Mark Johnson
Impact in
- Artificial Intelligence top 0.05%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
- Speech Recognition and Synthesis
-
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Papers in
-
- Natural Language Processing Techniques 158
- Topic Modeling 113
- Speech and dialogue systems 59
- Speech Recognition and Synthesis 27
- Algorithms and Data Compression 20
-
- Language Development and Disorders 12
- Co-authors
- Eugene Charniak (20 shared papers)Sharon Goldwater (19 shared papers)Peter Anderson (5 shared papers)Stephen Jay Gould (3 shared papers)Xiaodong He (2 shared papers)Damien Teney (2 shared papers)Chris Buehler (2 shared papers)Lei Zhang (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (5 papers)Applied Physics Letters (4 papers)Physical Review Letters (4 papers)Journal of Psycholinguistic Research (3 papers)Physical review. B, Condensed matter (3 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Mark Johnson
251 papers receiving 11.9k citations
Mark Johnson's Hit Papers
Peers
Comparison fields: 5 of 194
- Artificial Intelligence 9.0k
- Computer Vision and Pattern Recognition 3.5k
- Language and Linguistics 506
- Experimental and Cognitive Psychology 587
- Linguistics and Language 188
Countries citing papers authored by Mark Johnson
This map shows the geographic impact of Mark Johnson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Johnson more than expected).
Fields of papers citing papers by Mark Johnson
This network shows the impact of papers produced by Mark Johnson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Johnson. The network helps show where Mark Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 273 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering Hit paper breakdown → | 2018 | 3033 |
| 2 | Coarse-to-fine n-best parsing and MaxEnt discriminative reranking Hit paper breakdown → | 2005 | 649 |
| 3 | Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Hit paper breakdown → | 2015 | 626 |
| 4 | Effective self-training for parsing Hit paper breakdown → | 2006 | 401 |
| 5 | An Improved Non-monotonic Transition System for Dependency Parsing Hit paper breakdown → | 2015 | 342 |
| 6 | 2009 | 294 | |
| 7 | PCFG models of linguistic tree representations | 1998 | 238 |
| 8 | 2006 | 208 | |
| 9 | Learning OT constraint rankings using a maximum entropy model | 2003 | 203 |
| 10 | 1988 | 199 | |
| 11 | 2015 | 196 | |
| 12 | Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing | 2015 | 195 |
| 13 | 2001 | 180 | |
| 14 | 1993 | 169 | |
| 15 | 2006 | 165 | |
| 16 | Metáforas de la vida cotidiana | 1986 | 152 |
| 17 | Bottom-Up and Top-Down Attention for Image Captioning and VQA. | 2017 | 146 |
| 18 | 2016 | 139 | |
| 19 | Bayesian Inference for PCFGs via Markov Chain Monte Carlo | 2007 | 137 |
| 20 | 1999 | 131 |
About Mark Johnson
Mark Johnson is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Language and Linguistics, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 273 papers that have together received 13.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (158 papers), Topic Modeling (113 papers), Speech and dialogue systems (59 papers), Speech Recognition and Synthesis (27 papers), Algorithms and Data Compression (20 papers), Language Development and Disorders (12 papers), Quantum and electron transport phenomena (11 papers) and Syntax, Semantics, Linguistic Variation (10 papers). The work is most often cited by research in Artificial Intelligence (9.0k citations), Computer Vision and Pattern Recognition (3.5k citations), Language and Linguistics (506 citations), Experimental and Cognitive Psychology (587 citations) and Linguistics and Language (188 citations). Mark Johnson has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Eugene Charniak, Sharon Goldwater, Peter Anderson, Stephen Jay Gould, Xiaodong He, Damien Teney, Chris Buehler, Lei Zhang, Thomas L. Griffiths and David McClosky. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Applied Physics Letters, Physical Review Letters, Journal of Psycholinguistic Research and Physical review. B, Condensed matter.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.