Elaine Marsh
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Social Psychology
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 10%
- Co-authors
- Dennis PerzanowskiWilliam AdamsAnna Charlotte SchultzMagda BugajskaNaomi SagerLynette HirschmanRalph GrishmanNancy Chinchor
- Topics
- Natural Language Processing Techniques (16 papers)Speech and dialogue systems (7 papers)Topic Modeling (5 papers)
- Partner nations
- United StatesRussia
In The Last Decade
Elaine Marsh
27 papers receiving 381 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 223
- Control and Systems Engineering 91
- Social Psychology 78
- Computer Vision and Pattern Recognition 65
- Human-Computer Interaction 53
Countries citing papers authored by Elaine Marsh
This map shows the geographic impact of Elaine Marsh'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 Elaine Marsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elaine Marsh more than expected).
Fields of papers citing papers by Elaine Marsh
This network shows the impact of papers produced by Elaine Marsh. 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 Elaine Marsh. The network helps show where Elaine Marsh may publish in the future.
Co-authorship network of co-authors of Elaine Marsh
This figure shows the co-authorship network connecting the top 25 collaborators of Elaine Marsh. A scholar is included among the top collaborators of Elaine Marsh 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 Elaine Marsh. Elaine Marsh 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 | 7 | |
| 3 | Speech in noisy environments (spine) adds new dimension to speech recognition R&D | 9 |
| 4 | 150 | |
| 5 | 6 | |
| 6 | MUC-7 Evaluation of IE Technology: Overview of Results. | 47 |
| 7 | Appendix D: MUC-7 Information Extraction Task Definition (version 5.1) | 12 |
| 8 | 20 | |
| 9 | A production rule system for message summarization | 5 |
| 10 | 3 | |
| 11 | 21 | |
| 12 | Monoclonal gammopathy of undetermined significance: a morphologic and immunophenotypic study of the bone marrow. | 3 |
| 13 | Automatic Processing of Navy Message Narrative. | 4 |
| 14 | 7 | |
| 15 | 3 | |
| 16 | Tuning natural language grammars for new domains | 1 |
| 17 | 8 | |
| 18 | A linguistically motivated approach to automated analysis of military messages | 6 |
| 19 | 10 | |
| 20 | 23 |
About Elaine Marsh
Elaine Marsh is a scholar working on Artificial Intelligence, Language and Linguistics and Emergency Medicine, having authored 27 papers that have together received 422 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Speech and dialogue systems (7 papers) and Topic Modeling (5 papers). The work is most often cited by research in Human-Computer Interaction (53 citations), Artificial Intelligence (223 citations) and Control and Systems Engineering (91 citations). Elaine Marsh has collaborated with scholars based in United States and Russia. Frequent co-authors include Dennis Perzanowski, William Adams, Anna Charlotte Schultz, Magda Bugajska, Naomi Sager, Lynette Hirschman, Ralph Grishman, Nancy Chinchor, Geoffrey S. Hubona and Margaret S. Lyman. Their work appears in journals such as Human Pathology, Modern Pathology and International Journal of Human-Computer Studies.
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.