Michael Schuit

1.4k citations
11 papers · 682 · h-index 7

Impact in

Papers in

Michael Schuit

11 papers receiving 672 citations

Peers

Michael Schuit
Comparison fields: 5 of 115
  • Modeling and Simulation 190
  • Pulmonary and Respiratory Medicine 330
  • General Dentistry 16
  • Infectious Diseases 140
  • Health, Toxicology and Mutagenesis 110
Replace Moiz Usmani with:
Moiz Usmani United States
Mayank Gangwar United States
Denise Freeburger United States
Kristen K. Coleman United States
Xinhua Huang China
Jianxin Ma China
Stewart Wood United States
Shanna Ratnesar-Shumate United States
Maurizio Ruscio Italy
Katie Beck United States
Michael Schuit relative to Moiz Usmani United States Moiz Usmani's profile →
Citations per field
00.5×1.5×1.9×
Moiz Usmani · 1×
Citations per year

Countries citing papers authored by Michael Schuit

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

11 of 11 papers shown
#Work
1 2020194
2 2020169
3 2020144
4 201990
5 202240
6 201623
7 201711
8 20215
9 20213
10 20202
11 20221

About Michael Schuit

Michael Schuit is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Modeling and Simulation, Emergency Medical Services and Global and Planetary Change, having authored 11 papers that have together received 682 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), Disaster Response and Management (2 papers), COVID-19 impact on air quality (2 papers), Viral gastroenteritis research and epidemiology (2 papers), SARS-CoV-2 detection and testing (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Modeling and Simulation (190 citations), Pulmonary and Respiratory Medicine (330 citations), General Dentistry (16 citations), Infectious Diseases (140 citations) and Health, Toxicology and Mutagenesis (110 citations). Michael Schuit has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Denise Freeburger, Paul Dabisch, Stewart Wood, David Miller, Victoria Wahl‐Jensen, Shanna Ratnesar-Shumate, Brian Holland, J. Kyle Bohannon, Michael Hevey and M Krause. Their work appears in journals such as Aerosol Science and Technology, The Journal of Infectious Diseases, Microbiome, PLoS neglected tropical diseases and Applied Optics.

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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