Jan Walter Benjamins
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education 2
- Health Information Management top 10%
- Artificial Intelligence in Healthcare 1
-
- Cardiac Imaging and Diagnostics 7
- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 3
-
- Genetic Associations and Epidemiology 2
-
- Advanced X-ray and CT Imaging 5
-
- Machine Learning in Healthcare 2
- Co-authors
- Pim van der HarstLuis Eduardo Juárez‐OrozcoJuhani KnuutiNiek VerweijYordi J. van de VegteTom HendriksMing Wai YeungThomas P. Cappola
- Journals
- Scientific Reports (1 paper)European Heart Journal (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- NetherlandsFinlandGermany
In The Last Decade
Jan Walter Benjamins
15 papers receiving 193 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 19
- Health Information Management 25
- Cardiology and Cardiovascular Medicine 69
- Radiology, Nuclear Medicine and Imaging 47
- Genetics 38
Countries citing papers authored by Jan Walter Benjamins
This map shows the geographic impact of Jan Walter Benjamins'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 Walter Benjamins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Walter Benjamins more than expected).
Fields of papers citing papers by Jan Walter Benjamins
This network shows the impact of papers produced by Jan Walter Benjamins. 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 Walter Benjamins. The network helps show where Jan Walter Benjamins may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jan Walter Benjamins, 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 | 2024 | 6 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 27 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 50 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 48 | |
| 12 | 2019 | 5 | |
| 13 | 2019 | 2 | |
| 14 | 2019 | 1 | |
| 15 | 2016 | 1 |
About Jan Walter Benjamins
Jan Walter Benjamins is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Health Information Management, having authored 15 papers that have together received 195 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced X-ray and CT Imaging (5 papers), Medical Imaging Techniques and Applications (3 papers), Genetic Associations and Epidemiology (2 papers), Machine Learning in Healthcare (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Health Informatics (19 citations), Health Information Management (25 citations) and Cardiology and Cardiovascular Medicine (69 citations). Jan Walter Benjamins has collaborated with scholars based in Netherlands, Finland and Germany. Frequent co-authors include Pim van der Harst, Luis Eduardo Juárez‐Orozco, Juhani Knuuti, Niek Verweij, Yordi J. van de Vegte, Tom Hendriks, Ming Wai Yeung, Thomas P. Cappola, Wibke Reinhard and Teresa Trenkwalder. Their work appears in journals such as Scientific Reports, European Heart Journal and Arteriosclerosis Thrombosis and Vascular Biology.
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.