Mathijn de Jong
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
Papers in ⓘ
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- Breast Lesions and Carcinomas 3
- Surgery 2
- Orthopedic Surgery and Rehabilitation 2
- Co-authors
- Ritse M. Mann (3 shared papers)Nico Karssemeijer (3 shared papers)Matthieu Rutten (4 shared papers)Ruud M. Pijnappel (2 shared papers)Jan van Zelst (2 shared papers)Peter Bult (1 shared paper)Suzan Vreemann (1 shared paper)G.H. Woldringh (1 shared paper)
- Journals
- Radiology (2 papers)European Radiology (2 papers)Radiology Artificial Intelligence (1 paper)Health Systems (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Mathijn de Jong
7 papers receiving 227 citations
Peers
Comparison fields: 5 of 39
- Health Informatics 32
- Radiology, Nuclear Medicine and Imaging 99
- Pathology and Forensic Medicine 52
- Artificial Intelligence 86
- Cancer Research 40
Countries citing papers authored by Mathijn de Jong
This map shows the geographic impact of Mathijn de Jong'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 Mathijn de Jong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathijn de Jong more than expected).
Fields of papers citing papers by Mathijn de Jong
This network shows the impact of papers produced by Mathijn de Jong. 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 Mathijn de Jong. The network helps show where Mathijn de Jong may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathijn de Jong, 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 | 2015 | 78 | |
| 2 | 2018 | 55 | |
| 3 | 2017 | 51 | |
| 4 | 2021 | 32 | |
| 5 | 2010 | 7 | |
| 6 | 2016 | 4 | |
| 7 | 2022 | 2 |
About Mathijn de Jong
Mathijn de Jong is a scholar working on Pathology and Forensic Medicine, Surgery, Pulmonary and Respiratory Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 229 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (3 papers), Digital Radiography and Breast Imaging (2 papers), Orthopedic Surgery and Rehabilitation (2 papers), AI in cancer detection (2 papers), Medical Malpractice and Liability Issues (1 paper), Advanced Statistical Process Monitoring (1 paper), Acute Ischemic Stroke Management (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (32 citations), Radiology, Nuclear Medicine and Imaging (99 citations), Pathology and Forensic Medicine (52 citations), Artificial Intelligence (86 citations) and Cancer Research (40 citations). Mathijn de Jong has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Ritse M. Mann, Nico Karssemeijer, Matthieu Rutten, Ruud M. Pijnappel, Jan van Zelst, Peter Bult, Suzan Vreemann, G.H. Woldringh, Roel Mus and Nicoline Hoogerbrugge. Their work appears in journals such as Radiology, European Radiology, Radiology Artificial Intelligence, Health Systems and SHILAP Revista de lepidopterología.
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.