Mark Steedman
About
In The Last Decade
Mark Steedman
197 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 6.4k
- Language and Linguistics 1.8k
- Cognitive Neuroscience 1.3k
- Computer Vision and Pattern Recognition 1.2k
- Experimental and Cognitive Psychology 1.2k
Countries citing papers authored by Mark Steedman
This map shows the geographic impact of Mark Steedman'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 Steedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Steedman more than expected).
Fields of papers citing papers by Mark Steedman
This network shows the impact of papers produced by Mark Steedman. 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 Steedman. The network helps show where Mark Steedman may publish in the future.
Co-authorship network of co-authors of Mark Steedman
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Steedman. A scholar is included among the top collaborators of Mark Steedman 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 Steedman. Mark Steedman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 16 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, EMNLP 2011, 27-31 July 2011, John McIntyre Conference Centre, Edinburgh, UK, A meeting of SIGDAT, a Special Interest Group of the ACL | 19 |
| 7 | A Bayesian Mixture Model for PoS Induction Using Multiple Features | 8 |
| 8 | Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification | 165 |
| 9 | Two Decades of Unsupervised POS tagging---How Far Have We Come? | 1 |
| 10 | Unbounded Dependency Recovery for Parser Evaluation | 52 |
| 11 | 6 | |
| 12 | Proceedings of the Workshop on Frontiers in Corpus Annotations II: Pie in the Sky | 8 |
| 13 | An Annotation Scheme for Information Status in Dialogue. | 57 |
| 14 | Object-Extraction and Question-Parsing using CCG. | 29 |
| 15 | Where Does Compositionality Come From | 0 |
| 16 | Acquiring Compact Lexicalized Grammars from a Cleaner Treebank. | 63 |
| 17 | 6 | |
| 18 | Dynamic semantics for tense and aspect | 6 |
| 19 | 138 | |
| 20 | 182 |
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.