Martha Palmer
About
In The Last Decade
Martha Palmer
276 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Artificial Intelligence 10.8k
- Molecular Biology 1.6k
- Information Systems 1.2k
- Computer Vision and Pattern Recognition 984
- Language and Linguistics 631
Countries citing papers authored by Martha Palmer
This map shows the geographic impact of Martha Palmer'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 Martha Palmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martha Palmer more than expected).
Fields of papers citing papers by Martha Palmer
This network shows the impact of papers produced by Martha Palmer. 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 Martha Palmer. The network helps show where Martha Palmer may publish in the future.
Co-authorship network of co-authors of Martha Palmer
This figure shows the co-authorship network connecting the top 25 collaborators of Martha Palmer. A scholar is included among the top collaborators of Martha Palmer 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 Martha Palmer. Martha Palmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | Proceedings of the Workshop Events and Stories in the News 2018 | 7 |
| 5 | The New Propbank: Aligning Propbank with AMR through POS Unification | 6 |
| 6 | 73 | |
| 7 | The ClearEarth Project: Preliminary Findings from Experiments in Applying the CLEARTK NLP Pipeline and Annotation Tools Developed for Biomedicine to the Earth Sciences | 1 |
| 8 | Single Classifier Approach for Verb Sense Disambiguation based on Generalized Features | 6 |
| 9 | 7 | |
| 10 | Abstract Meaning Representation for Sembanking breakdown → | 640 |
| 11 | Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse | 86 |
| 12 | Question Ranking and Selection in Tutorial Dialogues | 1 |
| 13 | Towards high-performance word sense disambiguation by combining rich linguistic knowledge and machine learning approaches | 4 |
| 14 | Better Learning and Decoding for Syntax Based SMT Using PSDIG | 2 |
| 15 | Automatic semantic role labeling for Chinese verbs | 62 |
| 16 | The English all-words task | 203 |
| 17 | Extending a Verb-lexicon Using a Semantically Annotated Corpus. | 13 |
| 18 | Penn Korean Treebank : Development and Evaluation | 20 |
| 19 | A Feature-Based Lexicalized Tree Adjoining Grammar for Korean | 7 |
| 20 | Semantic Tagging for the Penn Treebank | 3 |
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.