Haley Stone
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health Informatics top 10%
Papers in
-
- Data-Driven Disease Surveillance 3
- Influenza Virus Research Studies 2
-
- Infection Control and Ventilation 5
- Co-authors
- C. Raina MacIntyre (10 shared papers)Ashley Quigley (7 shared papers)Abrar Ahmad Chughtai (5 shared papers)Phi‐Yen Nguyen (4 shared papers)Samsung Lim (5 shared papers)Shovon Bhattacharjee (1 shared paper)Con J. Doolan (1 shared paper)Prateek Bahl (1 shared paper)
- Journals
- Clinical Infectious Diseases (1 paper)GeoHealth (1 paper)Influenza and Other Respiratory Viruses (1 paper)Journal of Racial and Ethnic Health Disparities (1 paper)Infection and Immunity (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Haley Stone
16 papers receiving 242 citations
Haley Stone's Hit Papers
Peers
Comparison fields: 5 of 90
- Modeling and Simulation 54
- Health Informatics 14
- Infectious Diseases 48
- Clinical Psychology 44
- Pulmonary and Respiratory Medicine 65
Countries citing papers authored by Haley Stone
This map shows the geographic impact of Haley 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 Haley Stone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haley Stone more than expected).
Fields of papers citing papers by Haley Stone
This network shows the impact of papers produced by Haley 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 Haley Stone. The network helps show where Haley Stone may publish in the future.
Co-authors
The 21 scholars most cited alongside Haley Stone, 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 | 2020 | 74 | |
| 2 | Artificial intelligence in public health: the potential of epidemic early warning systems Hit paper breakdown → | 2023 | 64 |
| 3 | 2020 | 48 | |
| 4 | 1975 | 14 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2022 | 0 |
About Haley Stone
Haley Stone is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Oncology, Modeling and Simulation and Infectious Diseases, having authored 17 papers that have together received 256 indexed citations. Recurring topics across this work include Infection Control and Ventilation (5 papers), COVID-19 and healthcare impacts (4 papers), COVID-19 epidemiological studies (4 papers), Data-Driven Disease Surveillance (3 papers), Animal Disease Management and Epidemiology (3 papers), Influenza Virus Research Studies (2 papers), Vaccine Coverage and Hesitancy (2 papers) and Community Health and Development (1 paper). The work is most often cited by research in Modeling and Simulation (54 citations), Health Informatics (14 citations), Infectious Diseases (48 citations), Clinical Psychology (44 citations) and Pulmonary and Respiratory Medicine (65 citations). Haley Stone has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include C. Raina MacIntyre, Ashley Quigley, Abrar Ahmad Chughtai, Phi‐Yen Nguyen, Samsung Lim, Shovon Bhattacharjee, Con J. Doolan, Prateek Bahl, Charitha de Silva and Mohana Kunasekaran. Their work appears in journals such as Clinical Infectious Diseases, GeoHealth, Influenza and Other Respiratory Viruses, Journal of Racial and Ethnic Health Disparities and Infection and Immunity.
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.