Ewoud Pons
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
Papers in
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- Biomedical Text Mining and Ontologies 3
- Bioinformatics and Genomic Networks 1
- Surgery 2
- Adrenal and Paraganglionic Tumors 2
- Co-authors
- Jan A. Kors (4 shared papers)M. G. Myriam Hunink (3 shared papers)Loes Braun (1 shared paper)Zubair Afzal (3 shared papers)Saber A. Akhondi (2 shared papers)Erik M. van Mulligen (2 shared papers)Jacob J. Visser (1 shared paper)Martijn J. Schuemie (1 shared paper)
- Journals
- Database (2 papers)Journal of the American College of Radiology (1 paper)European Radiology (1 paper)Radiology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- NetherlandsUnited States
In The Last Decade
Ewoud Pons
7 papers receiving 508 citations
Ewoud Pons's Hit Papers
Peers
Comparison fields: 5 of 66
- Health Informatics 85
- Radiology, Nuclear Medicine and Imaging 140
- Artificial Intelligence 179
- Health Information Management 21
- Internal Medicine 11
Countries citing papers authored by Ewoud Pons
This map shows the geographic impact of Ewoud Pons'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 Ewoud Pons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewoud Pons more than expected).
Fields of papers citing papers by Ewoud Pons
This network shows the impact of papers produced by Ewoud Pons. 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 Ewoud Pons. The network helps show where Ewoud Pons may publish in the future.
Co-authors
The 15 scholars most cited alongside Ewoud Pons, 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 | Natural Language Processing in Radiology: A Systematic Review Hit paper breakdown → | 2016 | 395 |
| 2 | 2014 | 33 | |
| 3 | 2016 | 30 | |
| 4 | 2018 | 23 | |
| 5 | 2016 | 17 | |
| 6 | 2019 | 12 | |
| 7 | 2017 | 11 |
About Ewoud Pons
Ewoud Pons is a scholar working on Molecular Biology, Surgery, Artificial Intelligence, Neurology and Health Informatics, having authored 7 papers that have together received 521 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Adrenal and Paraganglionic Tumors (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Computational Drug Discovery Methods (1 paper), Bioinformatics and Genomic Networks (1 paper), Topic Modeling (1 paper) and Radiology practices and education (1 paper). The work is most often cited by research in Health Informatics (85 citations), Radiology, Nuclear Medicine and Imaging (140 citations), Artificial Intelligence (179 citations), Health Information Management (21 citations) and Internal Medicine (11 citations). Ewoud Pons has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Jan A. Kors, M. G. Myriam Hunink, Loes Braun, Zubair Afzal, Saber A. Akhondi, Erik M. van Mulligen, Jacob J. Visser, Martijn J. Schuemie, Miriam Sturkenboom and Kang Ning. Their work appears in journals such as Database, Journal of the American College of Radiology, European Radiology, Radiology and BMC Bioinformatics.
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.