Michael Sonntagbauer
Impact in
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- Artificial Intelligence in Healthcare and Education
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
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- COVID-19 Clinical Research Studies 2
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- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Stefan Kluge (2 shared papers)Yascha Khodamoradi (1 shared paper)Carla Bellinghausen (1 shared paper)Kai Zacharowski (5 shared papers)Heinrich Scheiblauer (1 shared paper)Timo Wolf (1 shared paper)Katharina Esser‐Nobis (1 shared paper)Christoph Stephan (1 shared paper)
- Journals
- Critical Care (1 paper)Shock (1 paper)BMC Anesthesiology (1 paper)Journal of Clinical Virology (1 paper)Medizinische Klinik - Intensivmedizin und Notfallmedizin (2 papers)
- Partner nations
- Germany
In The Last Decade
Michael Sonntagbauer
7 papers receiving 64 citations
Peers
Comparison fields: 5 of 36
- Health Informatics 9
- Infectious Diseases 28
- Critical Care and Intensive Care Medicine 4
- Modeling and Simulation 3
- Family Practice 1
Countries citing papers authored by Michael Sonntagbauer
This map shows the geographic impact of Michael Sonntagbauer'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 Sonntagbauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Sonntagbauer more than expected).
Fields of papers citing papers by Michael Sonntagbauer
This network shows the impact of papers produced by Michael Sonntagbauer. 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 Sonntagbauer. The network helps show where Michael Sonntagbauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Sonntagbauer, 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 | 2021 | 30 | |
| 2 | 2023 | 14 | |
| 3 | 2020 | 7 | |
| 4 | 2022 | 5 | |
| 5 | 2018 | 4 | |
| 6 | 2022 | 3 | |
| 7 | 2019 | 2 | |
| 8 | 2023 | 0 |
About Michael Sonntagbauer
Michael Sonntagbauer is a scholar working on Infectious Diseases, Health Informatics, Surgery, Neurology and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 65 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (2 papers), COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Pituitary Gland Disorders and Treatments (1 paper), Respiratory Support and Mechanisms (1 paper), Maternal and fetal healthcare (1 paper) and Adrenal and Paraganglionic Tumors (1 paper). The work is most often cited by research in Health Informatics (9 citations), Infectious Diseases (28 citations), Critical Care and Intensive Care Medicine (4 citations), Modeling and Simulation (3 citations) and Family Practice (1 citation). Michael Sonntagbauer has collaborated with scholars based in Germany. Frequent co-authors include Stefan Kluge, Yascha Khodamoradi, Carla Bellinghausen, Kai Zacharowski, Heinrich Scheiblauer, Timo Wolf, Katharina Esser‐Nobis, Christoph Stephan, C. Micha Nübling and Vera Mahler. Their work appears in journals such as Critical Care, Shock, BMC Anesthesiology, Journal of Clinical Virology and Medizinische Klinik - Intensivmedizin und Notfallmedizin.
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.