Ward Hendrix
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Artificial Intelligence in Healthcare and Education 2
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- AI in cancer detection 3
- Topic Modeling 1
- Co-authors
- Nils Hendrix (7 shared papers)Bram van Ginneken (7 shared papers)Matthieu J. C. M. Rutten (6 shared papers)Ernst T. Scholten (5 shared papers)Colin Jacobs (4 shared papers)Mathias Prokop (3 shared papers)Steven Schalekamp (3 shared papers)Bas J. Maresch (3 shared papers)
- Journals
- European Radiology (4 papers)Radiology Artificial Intelligence (1 paper)Radiology (1 paper)IEEE Transactions on Medical Imaging (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Ward Hendrix
9 papers receiving 308 citations
Peers
Comparison fields: 5 of 32
- Health Informatics 102
- Radiology, Nuclear Medicine and Imaging 106
- Artificial Intelligence 58
- Infectious Diseases 30
- Pulmonary and Respiratory Medicine 44
Countries citing papers authored by Ward Hendrix
This map shows the geographic impact of Ward Hendrix'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 Ward Hendrix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ward Hendrix more than expected).
Fields of papers citing papers by Ward Hendrix
This network shows the impact of papers produced by Ward Hendrix. 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 Ward Hendrix. The network helps show where Ward Hendrix may publish in the future.
Co-authors
The 25 scholars most cited alongside Ward Hendrix, 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 | 2020 | 115 | |
| 2 | 2023 | 50 | |
| 3 | 2022 | 44 | |
| 4 | 2023 | 42 | |
| 5 | 2021 | 38 | |
| 6 | 2024 | 14 | |
| 7 | 2025 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2025 | 1 |
About Ward Hendrix
Ward Hendrix is a scholar working on Health Informatics, Artificial Intelligence, Biomedical Engineering, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 316 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Medical Imaging and Analysis (2 papers), Orthopedic Surgery and Rehabilitation (2 papers), Lung Cancer Diagnosis and Treatment (1 paper), Biomedical Text Mining and Ontologies (1 paper), Topic Modeling (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Health Informatics (102 citations), Radiology, Nuclear Medicine and Imaging (106 citations), Artificial Intelligence (58 citations), Infectious Diseases (30 citations) and Pulmonary and Respiratory Medicine (44 citations). Ward Hendrix has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Nils Hendrix, Bram van Ginneken, Matthieu J. C. M. Rutten, Ernst T. Scholten, Colin Jacobs, Mathias Prokop, Steven Schalekamp, Bas J. Maresch, Lee‐Ling Sharon Ong and Cornelia M. Schaefer‐Prokop. Their work appears in journals such as European Radiology, Radiology Artificial Intelligence, Radiology, IEEE Transactions on Medical Imaging 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.