Gail E. Potter
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Influenza Virus Research Studies
- Data-Driven Disease Surveillance
- Respiratory viral infections research
Papers in
-
- COVID-19 epidemiological studies 7
-
- Influenza Virus Research Studies 3
- Trypanosoma species research and implications 1
- Co-authors
- M. Elizabeth Halloran (3 shared papers)Ira M. Longini (3 shared papers)Yang Yang (1 shared paper)Jonathan D. Sugimoto (2 shared papers)Laura Matrajt (1 shared paper)Dennis L. Chao (1 shared paper)Eben Kenah (1 shared paper)Nicole E. Basta (1 shared paper)
- Journals
- The Annals of Applied Statistics (2 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)Demographic Research (1 paper)The Lancet Infectious Diseases (1 paper)Clinical Trials (1 paper)
- Partner nations
- United StatesBelgiumAustralia
In The Last Decade
Gail E. Potter
14 papers receiving 708 citations
Gail E. Potter's Hit Papers
Peers
Comparison fields: 5 of 97
- Modeling and Simulation 307
- Epidemiology 318
- Parasitology 50
- Infectious Diseases 113
- Statistical and Nonlinear Physics 70
Countries citing papers authored by Gail E. Potter
This map shows the geographic impact of Gail E. Potter'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 Gail E. Potter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail E. Potter more than expected).
Fields of papers citing papers by Gail E. Potter
This network shows the impact of papers produced by Gail E. Potter. 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 Gail E. Potter. The network helps show where Gail E. Potter may publish in the future.
Co-authors
The 25 scholars most cited alongside Gail E. Potter, 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 | The Transmissibility and Control of Pandemic Influenza A (H1N1) Virus Hit paper breakdown → | 2009 | 456 |
| 2 | 2019 | 46 | |
| 3 | 2012 | 41 | |
| 4 | 2018 | 35 | |
| 5 | 2020 | 28 | |
| 6 | 2015 | 28 | |
| 7 | 2011 | 26 | |
| 8 | 2018 | 25 | |
| 9 | 2022 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2013 | 4 | |
| 12 | 2019 | 4 | |
| 13 | 2010 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 0 |
About Gail E. Potter
Gail E. Potter is a scholar working on Modeling and Simulation, Epidemiology, Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health and Sociology and Political Science, having authored 15 papers that have together received 727 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Complex Network Analysis Techniques (4 papers), Influenza Virus Research Studies (3 papers), Malaria Research and Control (2 papers), Urban, Neighborhood, and Segregation Studies (2 papers), Parasites and Host Interactions (1 paper), Trypanosoma species research and implications (1 paper) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Modeling and Simulation (307 citations), Epidemiology (318 citations), Parasitology (50 citations), Infectious Diseases (113 citations) and Statistical and Nonlinear Physics (70 citations). Gail E. Potter has collaborated with scholars based in United States, Belgium and Australia. Frequent co-authors include M. Elizabeth Halloran, Ira M. Longini, Yang Yang, Jonathan D. Sugimoto, Laura Matrajt, Dennis L. Chao, Eben Kenah, Nicole E. Basta, Mark S. Handcock and Kerstin Sailer. Their work appears in journals such as The Annals of Applied Statistics, Journal of the Royal Statistical Society Series C (Applied Statistics), Demographic Research, The Lancet Infectious Diseases and Clinical Trials.
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.