Jamie Mitchell

499 citations
5 papers · 347 · h-index 3

Impact in

    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • Biosensors and Analytical Detection

Papers in

Jamie Mitchell

5 papers receiving 346 citations

Peers

Jamie Mitchell
Comparison fields: 5 of 42
  • Infectious Diseases 315
  • Biomedical Engineering 194
  • General Dentistry 6
  • Modeling and Simulation 18
  • Radiology, Nuclear Medicine and Imaging 41
Replace Lorelay Mendoza Grijalva with:
Lorelay Mendoza Grijalva United States
Laura Roldan-Hernandez United States
Sooyeol Kim United States
Kyle Curtis United States
Jill S. McClary-Gutierrez United States
David Catoe United States
I. V. Alexandrov Russia
Aidan R. Foster United States
Nafisa Neault Canada
Sarah M. Prasek United States
Jamie Mitchell relative to Lorelay Mendoza Grijalva United States Lorelay Mendoza Grijalva's profile →
Citations per field
00.5×12×
Lorelay Mendoza Grijalva · 1×
Citations per year

Countries citing papers authored by Jamie Mitchell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jamie Mitchell Line = papers co-authored together Jamie Mitchell links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2020340
2 19963
3 20162
4 20201
5 20181

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 347 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (1 paper), Reservoir Engineering and Simulation Methods (1 paper), Drilling and Well Engineering (1 paper), Water management and technologies (1 paper), SARS-CoV-2 detection and testing (1 paper), Wastewater Treatment and Reuse (1 paper), COVID-19 diagnosis using AI (1 paper) and Hydraulic Fracturing and Reservoir Analysis (1 paper). The work is most often cited by research in Infectious Diseases (315 citations), Biomedical Engineering (194 citations), General Dentistry (6 citations), Modeling and Simulation (18 citations) and Radiology, Nuclear Medicine and Imaging (41 citations). Jamie Mitchell has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Kyle Curtis, Dana González, David Keeling, Raúl González, Kyle Bibby, Mark H. Weir, Aaron Bivins, Hannah M. Thompson, Ryan M. Pollyea and Charles Bott. Their work appears in journals such as Water and Environment Journal, Water Research, Abstracts with programs - Geological Society of America and Proceedings of the Water Environment Federation.

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.

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