Jan De Becker

789 citations
15 papers · 614 indexed · h-index 12

Impact in

    • Advanced MRI Techniques and Applications
    • Cardiac Imaging and Diagnostics
    • MRI in cancer diagnosis
    • Radiomics and Machine Learning in Medical Imaging
    • Medical Imaging Techniques and Applications
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Jan De Becker

15 papers receiving 601 citations

Peers

Jan De Becker
Comparison fields: 5 of 59
  • Radiology, Nuclear Medicine and Imaging 472
  • Hepatology 60
  • Cardiology and Cardiovascular Medicine 83
  • Atomic and Molecular Physics, and Optics 95
  • Neurology 44
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Nathan S. Artz United States
U. Hofer Germany
Renate Jerec̆ić United States
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Citations per field
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Citations per year

Countries citing papers authored by Jan De Becker

Since Specialization
Citations

This map shows the geographic impact of Jan De Becker'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 De Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan De Becker more than expected).

Fields of papers citing papers by Jan De Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan De Becker. 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 De Becker. The network helps show where Jan De Becker may publish in the future.

Co-authors

The 25 scholars most cited alongside Jan De Becker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan De Becker Line = papers co-authored together Jan De Becker links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201212
2 201230
3 200848
4 200823
5 200823
6 200715
7 20062
8 200548
9 200561
10 200531
11 199957
12 1999249
13 199311
14
Knowledge Based Interpretation of Brain CT-scans
19903
15
[Principles of the clinical application of magnetic resonance tomography (MRT) in oral medicine. II: Clinical application of MRT].
19881

About Jan De Becker

Jan De Becker is a scholar working on Radiology, Nuclear Medicine and Imaging, Oral Surgery, Neurology, Atomic and Molecular Physics, and Optics and Hepatology, having authored 15 papers that have together received 614 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (8 papers), MRI in cancer diagnosis (5 papers), Atomic and Subatomic Physics Research (4 papers), Medical Imaging Techniques and Applications (4 papers), Anesthesia and Pain Management (2 papers), Cardiac Imaging and Diagnostics (2 papers), Spine and Intervertebral Disc Pathology (2 papers) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (472 citations), Hepatology (60 citations), Cardiology and Cardiovascular Medicine (83 citations), Atomic and Molecular Physics, and Optics (95 citations) and Neurology (44 citations). Jan De Becker has collaborated with scholars based in Netherlands, United States and Finland. Frequent co-authors include Marc Van Cauteren, Matthias Stuber, Peter G. Danias, Daniel K. Sodickson, René M. Botnar, Kraig V. Kissinger, Warren J. Manning, Shahid M. Hussain, Grace Hwei Ching Tan and Anthony Goddard. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Magnetic Resonance Materials in Physics Biology and Medicine, Radiology, European Journal of Radiology and Aesthetic Plastic Surgery.

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.

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