Jamie Mitchell
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
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- Biosensors and Analytical Detection
Papers in
-
- SARS-CoV-2 detection and testing 1
-
- Wastewater Treatment and Reuse 1
- Co-authors
- Raúl González (1 shared paper)Kyle Curtis (1 shared paper)David Keeling (1 shared paper)Hannah M. Thompson (1 shared paper)Mark H. Weir (1 shared paper)Dana González (1 shared paper)Aaron Bivins (1 shared paper)Kyle Bibby (1 shared paper)
- Journals
- Water and Environment Journal (1 paper)Water Research (1 paper)Proceedings of the Water Environment Federation (2 papers)Abstracts with programs - Geological Society of America (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jamie Mitchell
5 papers receiving 338 citations
Peers
Comparison fields: 5 of 42
- Infectious Diseases 309
- Biomedical Engineering 196
- Modeling and Simulation 17
- General Dentistry 5
- Radiology, Nuclear Medicine and Imaging 40
Countries citing papers authored by Jamie Mitchell
This map shows the geographic impact of Jamie Mitchell'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 Mitchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Mitchell more than expected).
Fields of papers citing papers by Jamie Mitchell
This network shows the impact of papers produced by Jamie Mitchell. 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 Mitchell. The network helps show where Jamie Mitchell may publish in the future.
Co-authors
The 11 scholars most cited alongside Jamie Mitchell, 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 | 334 | |
| 2 | 1996 | 3 | |
| 3 | 2016 | 2 | |
| 4 | 2018 | 1 | |
| 5 | 2020 | 1 |
About Jamie Mitchell
Jamie Mitchell is a scholar working on Infectious Diseases, Industrial and Manufacturing Engineering, Ecology, Evolution, Behavior and Systematics, Ocean Engineering and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 341 indexed citations. Recurring topics across this work include Water management and technologies (1 paper), Biosensors and Analytical Detection (1 paper), COVID-19 diagnosis using AI (1 paper), Hydraulic Fracturing and Reservoir Analysis (1 paper), SARS-CoV-2 detection and testing (1 paper), Reservoir Engineering and Simulation Methods (1 paper), Drilling and Well Engineering (1 paper) and Wastewater Treatment and Reuse (1 paper). The work is most often cited by research in Infectious Diseases (309 citations), Biomedical Engineering (196 citations), Modeling and Simulation (17 citations), General Dentistry (5 citations) and Radiology, Nuclear Medicine and Imaging (40 citations). Jamie Mitchell has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Raúl González, Kyle Curtis, David Keeling, Hannah M. Thompson, Mark H. Weir, Dana González, Aaron Bivins, Kyle Bibby, Charles Bott and Chris Wilson. Their work appears in journals such as Water and Environment Journal, Water Research, Proceedings of the Water Environment Federation and Abstracts with programs - Geological Society of America.
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.