Brittany Hagedorn
- Infectious Diseases top 10%
- Modeling and Simulation top 5%
- Health top 10%
- Epidemiology
- Sociology and Political Science
- Co-authors
- Prashanth SelvarajAndrew J. TatemMarita ZimmermannDan HoganNatalia Tejedor‐GaravitoC. Edson UtaziAbdoulaye DjimdéTeun Bousema
- Topics
- COVID-19 epidemiological studies (8 papers)Vaccine Coverage and Hesitancy (7 papers)Viral gastroenteritis research and epidemiology (4 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaThe Journal of Infectious Diseases
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Brittany Hagedorn
17 papers receiving 288 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 117
- Modeling and Simulation 101
- Health 94
- Epidemiology 69
- Sociology and Political Science 36
Countries citing papers authored by Brittany Hagedorn
This map shows the geographic impact of Brittany Hagedorn'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 Brittany Hagedorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brittany Hagedorn more than expected).
Fields of papers citing papers by Brittany Hagedorn
This network shows the impact of papers produced by Brittany Hagedorn. 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 Brittany Hagedorn. The network helps show where Brittany Hagedorn may publish in the future.
Co-authorship network of co-authors of Brittany Hagedorn
This figure shows the co-authorship network connecting the top 25 collaborators of Brittany Hagedorn. A scholar is included among the top collaborators of Brittany Hagedorn 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 Brittany Hagedorn. Brittany Hagedorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 42 | |
| 10 | 27 | |
| 11 | 10 | |
| 12 | 73 | |
| 13 | 5 | |
| 14 | 22 | |
| 15 | 6 | |
| 16 | 51 | |
| 17 | 20 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 19 |
About Brittany Hagedorn
Brittany Hagedorn is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 20 papers that have together received 298 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), Vaccine Coverage and Hesitancy (7 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Modeling and Simulation (101 citations), Health (94 citations) and Infectious Diseases (117 citations). Brittany Hagedorn has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Prashanth Selvaraj, Andrew J. Tatem, Marita Zimmermann, Dan Hogan, Natalia Tejedor‐Garavito, C. Edson Utazi, Abdoulaye Djimdé, Teun Bousema, D. Barret and Kate Whitfield. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of 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.