Kyle Curtis
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Fecal contamination and water quality 5
-
- Water Treatment and Disinfection 4
- Co-authors
- Raúl González (4 shared papers)David Keeling (3 shared papers)Jamie Mitchell (1 shared paper)Hannah M. Thompson (2 shared papers)Aaron Bivins (1 shared paper)Kyle Bibby (1 shared paper)Dana González (2 shared papers)Mark H. Weir (1 shared paper)
- Journals
- Journal of Microbiological Methods (1 paper)Environmental Science & Technology (1 paper)The Science of The Total Environment (1 paper)Water Air & Soil Pollution (1 paper)Water Research (1 paper)
- Partner nations
- United StatesGhana
In The Last Decade
Kyle Curtis
9 papers receiving 393 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 336
- Modeling and Simulation 23
- Biomedical Engineering 201
- General Dentistry 6
- Radiology, Nuclear Medicine and Imaging 48
Countries citing papers authored by Kyle Curtis
This map shows the geographic impact of Kyle Curtis'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 Kyle Curtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Curtis more than expected).
Fields of papers citing papers by Kyle Curtis
This network shows the impact of papers produced by Kyle Curtis. 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 Kyle Curtis. The network helps show where Kyle Curtis may publish in the future.
Co-authors
The 19 scholars most cited alongside Kyle Curtis, 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 | 345 | |
| 2 | 2023 | 16 | |
| 3 | 2020 | 11 | |
| 4 | 2015 | 7 | |
| 5 | 2019 | 7 | |
| 6 | 2016 | 4 | |
| 7 | 2014 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 0 |
About Kyle Curtis
Kyle Curtis is a scholar working on Water Science and Technology, Health, Toxicology and Mutagenesis, Infectious Diseases, Industrial and Manufacturing Engineering and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 396 indexed citations. Recurring topics across this work include Fecal contamination and water quality (5 papers), Water Treatment and Disinfection (4 papers), SARS-CoV-2 detection and testing (3 papers), COVID-19 epidemiological studies (2 papers), Wastewater Treatment and Reuse (2 papers), COVID-19 diagnosis using AI (2 papers), Urban Stormwater Management Solutions (2 papers) and Water Systems and Optimization (1 paper). The work is most often cited by research in Infectious Diseases (336 citations), Modeling and Simulation (23 citations), Biomedical Engineering (201 citations), General Dentistry (6 citations) and Radiology, Nuclear Medicine and Imaging (48 citations). Kyle Curtis has collaborated with scholars based in United States and Ghana. Frequent co-authors include Raúl González, David Keeling, Jamie Mitchell, Hannah M. Thompson, Aaron Bivins, Kyle Bibby, Dana González, Mark H. Weir, J. M. Trapp and Nancy Welch. Their work appears in journals such as Journal of Microbiological Methods, Environmental Science & Technology, The Science of The Total Environment, Water Air & Soil Pollution and Water Research.
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.