Heidi Fox

646 citations
14 papers · 438 indexed · h-index 7
Topics
Topic Modeling (12 papers)Natural Language Processing Techniques (11 papers)Speech and dialogue systems (4 papers)
Partner nations
United States

In The Last Decade

Heidi Fox

11 papers receiving 350 citations

Peers

Heidi Fox
Comparison fields: 5 of 48
  • Artificial Intelligence 394
  • Information Systems 73
  • Molecular Biology 38
  • Management Science and Operations Research 21
  • Pulmonary and Respiratory Medicine 17
Replace Shawni Dutta with:
Shawni Dutta India
Jingyi Guo China
Terry Ruas United States
Shuntaro Yada Japan
K. S. M. Tozammel Hossain United States
Merlijn Sevenster United States
Silja Huttunen Finland
Diyue Bu United States
Mujeen Sung South Korea
Karel Ježek Czechia
Heidi Fox relative to Shawni Dutta India Shawni Dutta's profile →
Citations per field
00.5×
Shawni Dutta · 1×
Citations per year

Countries citing papers authored by Heidi Fox

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Heidi Fox

This figure shows the co-authorship network connecting the top 25 collaborators of Heidi Fox. A scholar is included among the top collaborators of Heidi Fox 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 Heidi Fox. Heidi Fox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 28
3 4
4 121
5 1
6
A novel use of statistical parsing to extract information from text
129
7
BBN: Description of the SIFT System as Used for MUC-7
46
8
Algorithms That Learn to Extract Information BBN: Description of the Sift System as Used for MUC-7
42
9 8
10 4
11 3
12 2
13 49
14 1

About Heidi Fox

Heidi Fox is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Infectious Diseases, 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) and Speech and dialogue systems (4 papers). The work is most often cited by research in Artificial Intelligence (394 citations), Modeling and Simulation (16 citations) and Information Systems (73 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, Natalie Kwit, Patsy Kelso and Julia C. Pringle. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Journal of Correctional Health Care and The COCOON platform (University of Paris).

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.

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