Annie D. Fine
- Public Health, Environmental and Occupational Health top 1%
- Infectious Diseases top 1%
- Epidemiology top 10%
- Modeling and Simulation top 1%
- Parasitology top 5%
- Co-authors
- Marcelle LaytonFarzad MostashariDenis NashGrant L. CampbellAda HuangJohn T. RoehrigMargaret ShermanKristy O. Murray
- Topics
- Data-Driven Disease Surveillance (8 papers)COVID-19 epidemiological studies (7 papers)Viral Infections and Vectors (6 papers)
- Cited by
- Infectious DiseasesModeling and SimulationPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesIsrael
In The Last Decade
Annie D. Fine
19 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Public Health, Environmental and Occupational Health 1.5k
- Infectious Diseases 1.5k
- Epidemiology 430
- Modeling and Simulation 274
- Parasitology 109
Countries citing papers authored by Annie D. Fine
This map shows the geographic impact of Annie D. Fine'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 Annie D. Fine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annie D. Fine more than expected).
Fields of papers citing papers by Annie D. Fine
This network shows the impact of papers produced by Annie D. Fine. 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 Annie D. Fine. The network helps show where Annie D. Fine may publish in the future.
Co-authorship network of co-authors of Annie D. Fine
This figure shows the co-authorship network connecting the top 25 collaborators of Annie D. Fine. A scholar is included among the top collaborators of Annie D. Fine 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 Annie D. Fine. Annie D. Fine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 124 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 40 | |
| 10 | 13 | |
| 11 | 11 | |
| 12 | 36 | |
| 13 | Ebola virus disease in a humanitarian aid worker - New York City, October 2014. | 24 |
| 14 | 14 | |
| 15 | 107 | |
| 16 | 142 | |
| 17 | 37 | |
| 18 | 57 | |
| 19 | Epidemic West Nile encephalitis, New York, 1999: results of a household-based seroepidemiological surveybreakdown → | 511 |
| 20 | The Outbreak of West Nile Virus Infection in the New York City Area in 1999breakdown → | 959 |
About Annie D. Fine
Annie D. Fine is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (8 papers), COVID-19 epidemiological studies (7 papers) and Viral Infections and Vectors (6 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Modeling and Simulation (274 citations) and Public Health, Environmental and Occupational Health (1.5k citations). Annie D. Fine has collaborated with scholars based in United States and Israel. Frequent co-authors include Marcelle Layton, Farzad Mostashari, Denis Nash, Grant L. Campbell, Ada Huang, John T. Roehrig, Margaret Sherman, Kristy O. Murray, Amy F. Rosenberg and Duane J. Gubler. Their work appears in journals such as New England Journal of Medicine, The Lancet and Clinical Infectious Diseases.
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.