Robert M. Kwee
Impact in
- Health Informatics top 1%
- Gastroenterology top 1%
- Gastrointestinal Tumor Research and Treatment
Papers in
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- Artificial Intelligence in Healthcare and Education 11
-
- Radiology practices and education 21
- Radiation Dose and Imaging 16
- COVID-19 diagnosis using AI 8
- Co-authors
- Thomas C. KweeRutger A. J. NievelsteinM. Eline KooiHugo J.A. AdamsRobert J. van OostenbruggeWerner H. MessJoachim E. WildbergerJos M. A. van Engelshoven
- Journals
- European Journal of Radiology (13 papers)European Radiology (9 papers)Neuroradiology (5 papers)Radiology (5 papers)Skeletal Radiology (5 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Robert M. Kwee
108 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 141
- Health Informatics 124
- Gastroenterology 349
- Radiology, Nuclear Medicine and Imaging 1.3k
- Pulmonary and Respiratory Medicine 1.8k
- Neurology 600
Countries citing papers authored by Robert M. Kwee
This map shows the geographic impact of Robert M. Kwee'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 Robert M. Kwee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Kwee more than expected).
Fields of papers citing papers by Robert M. Kwee
This network shows the impact of papers produced by Robert M. Kwee. 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 Robert M. Kwee. The network helps show where Robert M. Kwee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert M. Kwee, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 20 | |
| 4 | 2021 | 22 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2020 | 58 | |
| 12 | 2020 | 273 | |
| 13 | 2020 | 4 | |
| 14 | 2020 | 53 | |
| 15 | 2020 | 5 | |
| 16 | 2019 | 76 | |
| 17 | 2019 | 42 | |
| 18 | 2019 | 28 | |
| 19 | 2019 | 12 | |
| 20 | 2018 | 20 |
About Robert M. Kwee
Robert M. Kwee is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Rheumatology and Statistics, Probability and Uncertainty, having authored 112 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (24 papers), Radiology practices and education (21 papers), Radiation Dose and Imaging (16 papers), Acute Ischemic Stroke Management (16 papers), Cardiovascular Health and Disease Prevention (13 papers), Artificial Intelligence in Healthcare and Education (11 papers), COVID-19 diagnosis using AI (8 papers) and Osteoarthritis Treatment and Mechanisms (8 papers). The work is most often cited by research in Health Informatics (124 citations), Gastroenterology (349 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Pulmonary and Respiratory Medicine (1.8k citations) and Neurology (600 citations). Robert M. Kwee has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Thomas C. Kwee, Rutger A. J. Nievelstein, M. Eline Kooi, Hugo J.A. Adams, Robert J. van Oostenbrugge, Werner H. Mess, Joachim E. Wildberger, Jos M. A. van Engelshoven, Abass Alavi and Michael D. Hope. Their work appears in journals such as European Journal of Radiology, European Radiology, Neuroradiology, Radiology and Skeletal Radiology.
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.