Jamie Bedson
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
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- Viral Infections and Outbreaks Research
Papers in
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- COVID-19 epidemiological studies 6
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- Viral Infections and Outbreaks Research 7
- Co-authors
- Mohamed F. Jalloh (6 shared papers)Danielle Pedi (4 shared papers)Laurent Hébert‐Dufresne (5 shared papers)Benjamin M. Althouse (5 shared papers)Laura Skrip (5 shared papers)Sharon Alane Abramowitz (3 shared papers)Nina Gobat (2 shared papers)Samuel V. Scarpino (2 shared papers)
- Journals
- BMJ Global Health (3 papers)American Journal of Tropical Medicine and Hygiene (1 paper)Epidemics (1 paper)The Lancet Planetary Health (1 paper)Journal of Health Communication (1 paper)
- Partner nations
- United StatesSierra LeoneUnited Kingdom
In The Last Decade
Jamie Bedson
10 papers receiving 302 citations
Peers
Comparison fields: 5 of 66
- Modeling and Simulation 139
- Infectious Diseases 90
- Health 29
- Emergency Medical Services 21
- Statistical and Nonlinear Physics 23
Countries citing papers authored by Jamie Bedson
This map shows the geographic impact of Jamie Bedson'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 Jamie Bedson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Bedson more than expected).
Fields of papers citing papers by Jamie Bedson
This network shows the impact of papers produced by Jamie Bedson. 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 Jamie Bedson. The network helps show where Jamie Bedson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jamie Bedson, 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 | 2021 | 127 | |
| 2 | 2020 | 55 | |
| 3 | 2021 | 26 | |
| 4 | 2017 | 26 | |
| 5 | 2021 | 20 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 6 |
About Jamie Bedson
Jamie Bedson is a scholar working on Modeling and Simulation, Infectious Diseases, Health, Emergency Medical Services and Sociology and Political Science, having authored 10 papers that have together received 307 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (7 papers), COVID-19 epidemiological studies (6 papers), Vaccine Coverage and Hesitancy (3 papers), Disaster Management and Resilience (2 papers), Disaster Response and Management (2 papers), COVID-19 Digital Contact Tracing (1 paper), HIV/AIDS Impact and Responses (1 paper) and Community Health and Development (1 paper). The work is most often cited by research in Modeling and Simulation (139 citations), Infectious Diseases (90 citations), Health (29 citations), Emergency Medical Services (21 citations) and Statistical and Nonlinear Physics (23 citations). Jamie Bedson has collaborated with scholars based in United States, Sierra Leone and United Kingdom. Frequent co-authors include Mohamed F. Jalloh, Danielle Pedi, Laurent Hébert‐Dufresne, Benjamin M. Althouse, Laura Skrip, Sharon Alane Abramowitz, Nina Gobat, Samuel V. Scarpino, Katharine R. Owen and Sylvie C. Briand. Their work appears in journals such as BMJ Global Health, American Journal of Tropical Medicine and Hygiene, Epidemics, The Lancet Planetary Health and Journal of Health Communication.
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.