Katelynn Devinney
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- SARS-CoV-2 detection and testing 1
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- Data-Driven Disease Surveillance 2
- Co-authors
- Jennifer Baumgartner (4 shared papers)Emily McGibbon (4 shared papers)Corinne N. Thompson (3 shared papers)Kevin Konty (1 shared paper)Donald R. Olson (1 shared paper)Neil M. Vora (1 shared paper)Gretchen Van Wye (2 shared papers)Annie D. Fine (2 shared papers)
- Journals
- MMWR Morbidity and Mortality Weekly Report (3 papers)Vaccine X (1 paper)Journal of the American Medical Informatics Association (1 paper)Journal of Artificial Societies and Social Simulation (1 paper)Food Protection Trends (1 paper)
- Partner nations
- United States
In The Last Decade
Katelynn Devinney
9 papers receiving 213 citations
Peers
Comparison fields: 5 of 55
- Modeling and Simulation 33
- Infectious Diseases 62
- Health 18
- Oncology 43
- Food Science 22
Countries citing papers authored by Katelynn Devinney
This map shows the geographic impact of Katelynn Devinney'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 Katelynn Devinney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katelynn Devinney more than expected).
Fields of papers citing papers by Katelynn Devinney
This network shows the impact of papers produced by Katelynn Devinney. 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 Katelynn Devinney. The network helps show where Katelynn Devinney may publish in the future.
Co-authors
The 25 scholars most cited alongside Katelynn Devinney, 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 | 124 | |
| 2 | 2021 | 38 | |
| 3 | 2017 | 36 | |
| 4 | 2021 | 7 | |
| 5 | 2018 | 5 | |
| 6 | 2025 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2021 | 1 |
About Katelynn Devinney
Katelynn Devinney is a scholar working on Infectious Diseases, Epidemiology, Endocrinology, Emergency Medical Services and Modeling and Simulation, having authored 9 papers that have together received 217 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (2 papers), COVID-19 epidemiological studies (2 papers), Antibiotic Use and Resistance (1 paper), Disaster Response and Management (1 paper), SARS-CoV-2 detection and testing (1 paper), Vibrio bacteria research studies (1 paper), Identification and Quantification in Food (1 paper) and Listeria monocytogenes in Food Safety (1 paper). The work is most often cited by research in Modeling and Simulation (33 citations), Infectious Diseases (62 citations), Health (18 citations), Oncology (43 citations) and Food Science (22 citations). Katelynn Devinney has collaborated with scholars based in United States. Frequent co-authors include Jennifer Baumgartner, Emily McGibbon, Corinne N. Thompson, Kevin Konty, Donald R. Olson, Neil M. Vora, Gretchen Van Wye, Annie D. Fine, Hiu Tai Chan and Kevin Guerra. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Vaccine X, Journal of the American Medical Informatics Association, Journal of Artificial Societies and Social Simulation and Food Protection Trends.
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.