Mark S. Johnson

25.7k citations
282 papers · 17.6k · 7 hit papers · h-index 51

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Domain Adaptation and Few-Shot Learning
    • Speech and dialogue systems
    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques
    • Human Pose and Action Recognition

Papers in

Mark S. Johnson

262 papers receiving 16.2k citations

Mark S. Johnson's Hit Papers

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering 2018 · 3.6k citations
3.6k0+7+14Years since publication10002.0k3.0k

Peers

Mark S. Johnson
Comparison fields: 5 of 201
  • Artificial Intelligence 10.6k
  • Computer Vision and Pattern Recognition 5.3k
  • Marketing 1.3k
  • Management of Technology and Innovation 606
  • Language and Linguistics 643
Replace Terry Winograd with:
Terry Winograd United States
Susan Dumais United States
Hinrich Schütze Germany
Thomas K. Landauer United States
Thomas L. Griffiths United States
Lyle Ungar United States
John McCarthy Ireland
Daniel S. Weld United States
Allen Newell United States
Marti A. Hearst United States
Mark S. Johnson relative to Terry Winograd United States Terry Winograd's profile →
Citations per field
00.5×2×4×6×7.5×
Terry Winograd · 1×
Citations per year

Countries citing papers authored by Mark S. Johnson

Since Specialization
Citations

This map shows the geographic impact of Mark S. 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 S. 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 S. Johnson more than expected).

Fields of papers citing papers by Mark S. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. 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 S. Johnson. The network helps show where Mark S. Johnson may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark S. Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark S. Johnson Line = papers co-authored together Mark S. Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 282 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 →
20183579
2
State-of-the-art in product-service systems
Hit paper breakdown →
20071538
3
SPICE: Semantic Propositional Image Caption Evaluation
Hit paper breakdown →
20161317
4
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Hit paper breakdown →
2015700
5
Coarse-to-fine n -best parsing and MaxEnt discriminative reranking
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2005687
6
Effective self-training for parsing
Hit paper breakdown →
2006442
7
An Improved Non-monotonic Transition System for Dependency Parsing
Hit paper breakdown →
2015397
8 2009325
9
PCFG Models of Linguistic Tree Representations
1998266
10 2006243
11 2015238
12
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing
2015216
13 1988214
14
Learning OT Constraint Rankings Using a Maximum Entropy Model
2003203
15 2001190
16 1993189
17 2007183
18 2006174
19
Metáforas de la vida cotidiana
1986152
20 2016147

About Mark S. Johnson

Mark S. Johnson is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Language and Linguistics, Experimental and Cognitive Psychology and Condensed Matter Physics, having authored 282 papers that have together received 17.6k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (152 papers), Topic Modeling (114 papers), Speech and dialogue systems (59 papers), Speech Recognition and Synthesis (26 papers), Algorithms and Data Compression (20 papers), Magnetic properties of thin films (13 papers), Language Development and Disorders (13 papers) and Quantum and electron transport phenomena (12 papers). The work is most often cited by research in Artificial Intelligence (10.6k citations), Computer Vision and Pattern Recognition (5.3k citations), Marketing (1.3k citations), Management of Technology and Innovation (606 citations) and Language and Linguistics (643 citations). Mark S. Johnson has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Peter Anderson, Stephen Jay Gould, Eugene Charniak, Sharon J. Goldwater, Damien Teney, Xiaodong He, Lei Zhang, Chris Buehler, Basura Fernando and Thomas L. Griffiths. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Physical Review Letters, Applied Physics Letters, Journal of Psycholinguistic Research and Cognition.

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.

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