Jan Willms
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Neurology top 10%
- Long-Term Effects of COVID-19
- Intracranial Aneurysms: Treatment and Complications
- Traumatic Brain Injury and Neurovascular Disturbances
- Intracerebral and Subarachnoid Hemorrhage Research
Papers in
-
- Intracranial Aneurysms: Treatment and Complications 5
- Traumatic Brain Injury and Neurovascular Disturbances 2
- Co-authors
- E. Keller (19 shared papers)J. M. Boss (7 shared papers)Dominique Brodbeck (2 shared papers)Nadine Bienefeld (1 shared paper)Giovanna Brandi (5 shared papers)Sebastian Winklhofer (2 shared papers)Daniel S. Kirschenbaum (1 shared paper)Karl Frontzek (1 shared paper)
- Journals
- Neurocritical Care (2 papers)Acta Neurochirurgica (2 papers)Journal of the American Medical Informatics Association (1 paper)Clinical Neurophysiology (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Jan Willms
20 papers receiving 256 citations
Peers
Comparison fields: 5 of 57
- Health Informatics 43
- Neurology 105
- Neurology 17
- Critical Care and Intensive Care Medicine 8
- Infectious Diseases 30
Countries citing papers authored by Jan Willms
This map shows the geographic impact of Jan Willms'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 Jan Willms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Willms more than expected).
Fields of papers citing papers by Jan Willms
This network shows the impact of papers produced by Jan Willms. 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 Jan Willms. The network helps show where Jan Willms may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Willms, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 77 | |
| 2 | 2020 | 73 | |
| 3 | 2021 | 41 | |
| 4 | 2022 | 15 | |
| 5 | 2021 | 11 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2016 | 2 | |
| 14 | 2018 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Jan Willms
Jan Willms is a scholar working on Neurology, Epidemiology, Surgery, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 263 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Healthcare Technology and Patient Monitoring (2 papers), Machine Learning in Healthcare (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Quality and Safety in Healthcare (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Health Informatics (43 citations), Neurology (105 citations), Neurology (17 citations), Critical Care and Intensive Care Medicine (8 citations) and Infectious Diseases (30 citations). Jan Willms has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include E. Keller, J. M. Boss, Dominique Brodbeck, Nadine Bienefeld, Giovanna Brandi, Sebastian Winklhofer, Daniel S. Kirschenbaum, Karl Frontzek, Peter Steiger and Ilijas Jelčić. Their work appears in journals such as Neurocritical Care, Acta Neurochirurgica, Journal of the American Medical Informatics Association, Clinical Neurophysiology and npj Digital Medicine.
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.