Michael W. Sjoding
- Health Informatics top 0.5%
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- Intensive Care Unit Cognitive Disorders 15
- Emergency Medicine top 1%
- Emergency and Acute Care Studies 14
- Cardiac Arrest and Resuscitation 13
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- Respiratory Support and Mechanisms 33
- Epidemiology top 5%
- Sepsis Diagnosis and Treatment 29
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- COVID-19 diagnosis using AI 10
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- Machine Learning in Healthcare 8
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- Hemodynamic Monitoring and Therapy 6
- Co-authors
- Theodore J. IwashynaColin R. CookeThomas S. ValleyHallie C. PrescottRobert P. DicksonJenna WiensIvan CoNicole R. Falkowski
- Journals
- Annals of the American Thoracic Society (14 papers)Critical Care Medicine (6 papers)CHEST Journal (6 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Michael W. Sjoding
91 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 149
- Health Informatics 151
- Critical Care and Intensive Care Medicine 475
- Emergency Medicine 429
- Pulmonary and Respiratory Medicine 797
- Epidemiology 794
Countries citing papers authored by Michael W. Sjoding
This map shows the geographic impact of Michael W. Sjoding'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 W. Sjoding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Sjoding more than expected).
Fields of papers citing papers by Michael W. Sjoding
This network shows the impact of papers produced by Michael W. Sjoding. 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 W. Sjoding. The network helps show where Michael W. Sjoding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael W. Sjoding, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 23 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 0 | |
| 12 | 2020 | 112 | |
| 13 | 2020 | 199 | |
| 14 | 2020 | 16 | |
| 15 | 2020 | 29 | |
| 16 | 2020 | 30 | |
| 17 | 2019 | 60 | |
| 18 | 2018 | 29 | |
| 19 | 2016 | 12 | |
| 20 | 2015 | 40 |
About Michael W. Sjoding
Michael W. Sjoding is a scholar working on Critical Care and Intensive Care Medicine, Emergency Medicine, Pulmonary and Respiratory Medicine, Applied Microbiology and Biotechnology and Epidemiology, having authored 93 papers that have together received 2.5k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (33 papers), Sepsis Diagnosis and Treatment (29 papers), Intensive Care Unit Cognitive Disorders (15 papers), Emergency and Acute Care Studies (14 papers), Cardiac Arrest and Resuscitation (13 papers), COVID-19 diagnosis using AI (10 papers), Machine Learning in Healthcare (8 papers) and Hemodynamic Monitoring and Therapy (6 papers). The work is most often cited by research in Health Informatics (151 citations), Critical Care and Intensive Care Medicine (475 citations), Emergency Medicine (429 citations), Pulmonary and Respiratory Medicine (797 citations) and Epidemiology (794 citations). Michael W. Sjoding has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Theodore J. Iwashyna, Colin R. Cooke, Thomas S. Valley, Hallie C. Prescott, Robert P. Dickson, Jenna Wiens, Ivan Co, Nicole R. Falkowski, Brahmajee K. Nallamothu and Dru Claar. Their work appears in journals such as Annals of the American Thoracic Society, Critical Care Medicine, CHEST Journal, American Journal of Respiratory and Critical Care Medicine and JAMA Network Open.
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.