Michael Schuit
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
-
- Infection Control and Ventilation
Papers in
-
- Viral Infections and Outbreaks Research 4
- Viral gastroenteritis research and epidemiology 2
- SARS-CoV-2 and COVID-19 Research 1
-
- Infection Control and Ventilation 4
- Co-authors
- Paul Dabisch (7 shared papers)Denise Freeburger (7 shared papers)Stewart Wood (5 shared papers)David Miller (7 shared papers)Victoria Wahl‐Jensen (6 shared papers)Shanna Ratnesar-Shumate (3 shared papers)Brian Holland (4 shared papers)M Krause (4 shared papers)
- Journals
- Aerosol Science and Technology (2 papers)The Journal of Infectious Diseases (2 papers)Applied Optics (1 paper)Microbiome (1 paper)PLoS neglected tropical diseases (1 paper)
- Partner nations
- United StatesCosta RicaEgypt
In The Last Decade
Michael Schuit
11 papers receiving 616 citations
Peers
Comparison fields: 5 of 113
- Modeling and Simulation 205
- Pulmonary and Respiratory Medicine 329
- Health, Toxicology and Mutagenesis 118
- General Dentistry 15
- Infectious Diseases 147
Countries citing papers authored by Michael Schuit
This map shows the geographic impact of Michael Schuit'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 Michael Schuit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schuit more than expected).
Fields of papers citing papers by Michael Schuit
This network shows the impact of papers produced by Michael Schuit. 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 Michael Schuit. The network helps show where Michael Schuit may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Schuit, 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 | 186 | |
| 2 | 2020 | 139 | |
| 3 | 2020 | 137 | |
| 4 | 2019 | 85 | |
| 5 | 2022 | 38 | |
| 6 | 2016 | 23 | |
| 7 | 2017 | 10 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2022 | 1 |
About Michael Schuit
Michael Schuit is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Modeling and Simulation, Epidemiology and Emergency Medical Services, having authored 11 papers that have together received 628 indexed citations. Recurring topics across this work include Infection Control and Ventilation (4 papers), COVID-19 epidemiological studies (4 papers), Viral Infections and Outbreaks Research (4 papers), COVID-19 impact on air quality (2 papers), Disaster Response and Management (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Plant and Fungal Interactions Research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Modeling and Simulation (205 citations), Pulmonary and Respiratory Medicine (329 citations), Health, Toxicology and Mutagenesis (118 citations), General Dentistry (15 citations) and Infectious Diseases (147 citations). Michael Schuit has collaborated with scholars based in United States, Costa Rica and Egypt. Frequent co-authors include Paul Dabisch, Denise Freeburger, Stewart Wood, David Miller, Victoria Wahl‐Jensen, Shanna Ratnesar-Shumate, Brian Holland, M Krause, Michael Hevey and J. Kyle Bohannon. Their work appears in journals such as Aerosol Science and Technology, The Journal of Infectious Diseases, Applied Optics, Microbiome and PLoS neglected tropical 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.