Heidi Fox
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Semantic Web and Ontologies
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Algorithms and Data Compression
Papers in
-
- Topic Modeling 12
- Natural Language Processing Techniques 11
- Speech and dialogue systems 4
- Algorithms and Data Compression 3
- Semantic Web and Ontologies 2
- Text Readability and Simplification 2
- Co-authors
- Ralph Weischedel (9 shared papers)S.L. Miller (5 shared papers)Lance Ramshaw (4 shared papers)Rebecca Stone (4 shared papers)Robert Ingria (3 shared papers)Richard Schwartz (3 shared papers)Richard Schwartz (1 shared paper)Patsy Kelso (1 shared paper)
- Journals
- MMWR Morbidity and Mortality Weekly Report (1 paper)Journal of Correctional Health Care (1 paper)The COCOON platform (University of Paris) (1 paper)Defense Technical Information Center (DTIC) (1 paper)
- Partner nations
- United States
In The Last Decade
Heidi Fox
11 papers receiving 350 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 394
- Modeling and Simulation 16
- Information Systems 73
- Management Science and Operations Research 21
- Computer Vision and Pattern Recognition 12
Countries citing papers authored by Heidi Fox
This map shows the geographic impact of Heidi Fox'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 Heidi Fox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidi Fox more than expected).
Fields of papers citing papers by Heidi Fox
This network shows the impact of papers produced by Heidi Fox. 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 Heidi Fox. The network helps show where Heidi Fox may publish in the future.
Co-authors
The 16 scholars most cited alongside Heidi Fox, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A novel use of statistical parsing to extract information from text | 2000 | 129 |
| 2 | 2002 | 121 | |
| 3 | 1992 | 49 | |
| 4 | BBN: Description of the SIFT System as Used for MUC-7 | 1998 | 46 |
| 5 | Algorithms That Learn to Extract Information BBN: Description of the Sift System as Used for MUC-7 | 1998 | 42 |
| 6 | 2020 | 28 | |
| 7 | 1996 | 8 | |
| 8 | 2005 | 4 | |
| 9 | 1994 | 4 | |
| 10 | 1993 | 3 | |
| 11 | 1993 | 2 | |
| 12 | 2002 | 1 | |
| 13 | 1992 | 1 | |
| 14 | 2022 | 0 |
About Heidi Fox
Heidi Fox is a scholar working on Artificial Intelligence, Infectious Diseases, Oncology, Nuclear and High Energy Physics and Organic Chemistry, having authored 14 papers that have together received 438 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers), Speech and dialogue systems (4 papers), Algorithms and Data Compression (3 papers), Semantic Web and Ontologies (2 papers), Text Readability and Simplification (2 papers), COVID-19 and healthcare impacts (1 paper) and Magnetic confinement fusion research (1 paper). The work is most often cited by research in Artificial Intelligence (394 citations), Modeling and Simulation (16 citations), Information Systems (73 citations), Management Science and Operations Research (21 citations) and Computer Vision and Pattern Recognition (12 citations). Heidi Fox has collaborated with scholars based in United States. Frequent co-authors include Ralph Weischedel, S.L. Miller, Lance Ramshaw, Rebecca Stone, Robert Ingria, Richard Schwartz, Richard Schwartz, Patsy Kelso, Natalie Kwit and Julia C. Pringle. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Journal of Correctional Health Care, The COCOON platform (University of Paris) and Defense Technical Information Center (DTIC).
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.