Rebecca Stone
- Artificial Intelligence top 5%
- Cognitive Neuroscience
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Co-authors
- Ralph WeischedelRichard SchwartzJeffrey A. SaundersBenjamin T. BackusDavid R. MillerS.L. MillerLance RamshawHeidi Fox
- Topics
- Natural Language Processing Techniques (7 papers)Topic Modeling (6 papers)Aging, Elder Care, and Social Issues (2 papers)
- Journals
- Proceedings of the National Academy of SciencesLanguage Resources and EvaluationIEEE International Conference on Acoustics Speech and Signal Processing
- Partner nations
- United States
In The Last Decade
Rebecca Stone
11 papers receiving 275 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 222
- Cognitive Neuroscience 86
- Information Systems 48
- Computer Vision and Pattern Recognition 33
- Experimental and Cognitive Psychology 32
Countries citing papers authored by Rebecca Stone
This map shows the geographic impact of Rebecca Stone'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 Rebecca Stone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebecca Stone more than expected).
Fields of papers citing papers by Rebecca Stone
This network shows the impact of papers produced by Rebecca Stone. 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 Rebecca Stone. The network helps show where Rebecca Stone may publish in the future.
Co-authorship network of co-authors of Rebecca Stone
This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca Stone. A scholar is included among the top collaborators of Rebecca Stone 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 Rebecca Stone. Rebecca Stone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 93 | |
| 2 | 31 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | Annotating Resources for Information Extraction | 9 |
| 6 | 48 | |
| 7 | Named Entity Extraction from Broadcast News | 29 |
| 8 | Named Entity Extraction From Speech | 13 |
| 9 | BBN: Description of the SIFT System as Used for MUC-7 | 46 |
| 10 | Algorithms That Learn to Extract Information BBN: Description of the Sift System as Used for MUC-7 | 42 |
| 11 | 8 |
About Rebecca Stone
Rebecca Stone is a scholar working on Artificial Intelligence, Philosophy and Signal Processing, having authored 11 papers that have together received 331 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Aging, Elder Care, and Social Issues (2 papers). The work is most often cited by research in Artificial Intelligence (222 citations), Cognitive Neuroscience (86 citations) and Experimental and Cognitive Psychology (32 citations). Rebecca Stone has collaborated with scholars based in United States. Frequent co-authors include Ralph Weischedel, Richard Schwartz, Jeffrey A. Saunders, Benjamin T. Backus, David R. Miller, S.L. Miller, Lance Ramshaw, Heidi Fox, Richard Schwartz and Francis Kubala. Their work appears in journals such as Proceedings of the National Academy of Sciences, Language Resources and Evaluation and IEEE International Conference on Acoustics Speech and Signal Processing.
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.