Mark Johnson
About
In The Last Decade
Mark Johnson
251 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Artificial Intelligence 9.0k
- Computer Vision and Pattern Recognition 3.5k
- Atomic and Molecular Physics, and Optics 755
- Experimental and Cognitive Psychology 589
- Molecular Biology 570
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-authorship network of co-authors of Mark Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Johnson. A scholar is included among the top collaborators of Mark Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Johnson. Mark Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Improving Cohesion in L2 Writing: A Three-Strand Approach to Building Lexical Cohesion. | 4 |
| 2 | An Improved Non-monotonic Transition System for Dependency Parsing breakdown → | 340 |
| 3 | Modeling Graph Languages with Grammars Extracted via Tree Decompositions | 6 |
| 4 | A Non-Monotonic Arc-Eager Transition System for Dependency Parsing | 24 |
| 5 | Grammars and Topic Models | 0 |
| 6 | Exploiting Social Information in Grounded Language Learning via Grammatical Reduction | 8 |
| 7 | Semantic Parsing with Bayesian Tree Transducers | 35 |
| 8 | Improving Combinatory Categorial Grammar Parse Reranking with Dependency Grammar Features | 2 |
| 9 | Exploring Adaptor Grammars for Native Language Identification | 24 |
| 10 | Using Language Models and Latent Semantic Analysis to Characterise the N400m Neural Response | 9 |
| 11 | Reducing Grounded Learning Tasks To Grammatical Inference | 26 |
| 12 | 8 | |
| 13 | Using Universal Linguistic Knowledge to Guide Grammar Induction | 83 |
| 14 | Learning Words and Their Meanings from Unsegmented Child-directed Speech | 8 |
| 15 | A Bayesian LDA-based model for semi-supervised part-of-speech tagging | 68 |
| 16 | Discriminative Learning for Label Sequences via Boosting | 32 |
| 17 | Leven in metaforen | 0 |
| 18 | A Very Efficient Sampling Technique for Fibre-Remote Optical Emission Spectroscopy of Aqueous Solutions. | 0 |
| 19 | The Computational Complexity of Tomita's Algorithm. | 6 |
| 20 | Metáforas de la vida cotidiana | 153 |
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.