Mary Hearne
About
In The Last Decade
Mary Hearne
13 papers receiving 175 citations
Peers
Comparison fields: 5 of 20
- Artificial Intelligence 211
- Language and Linguistics 36
- Molecular Biology 25
- Information Systems 22
- Computer Vision and Pattern Recognition 18
Countries citing papers authored by Mary Hearne
This map shows the geographic impact of Mary Hearne'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 Mary Hearne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Hearne more than expected).
Fields of papers citing papers by Mary Hearne
This network shows the impact of papers produced by Mary Hearne. 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 Mary Hearne. The network helps show where Mary Hearne may publish in the future.
Co-authorship network of co-authors of Mary Hearne
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Hearne. A scholar is included among the top collaborators of Mary Hearne 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 Mary Hearne. Mary Hearne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 22 | |
| 3 | 3 | |
| 4 | Comparing Constituency and Dependency Representations for SMT Phrase-Extraction | 8 |
| 5 | 12 | |
| 6 | Robust language pair-independent sub-tree alignment | 19 |
| 7 | GF-DOP: grammatical feature data-oriented parsing | 2 |
| 8 | Disambiguation Strategies for Data-Oriented Translation | 20 |
| 9 | 11 | |
| 10 | Final Report of the 2005 Language Engineering Workshop on Statistical Machine Translation by Parsing | 11 |
| 11 | 6 | |
| 12 | 31 | |
| 13 | Seeing the wood for the trees: data-oriented translation | 32 |
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.