Robert Luypaert

2.8k citations
79 papers · 2.2k · h-index 28

Impact in

    • Advanced MRI Techniques and Applications
    • MRI in cancer diagnosis
    • Advanced Neuroimaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
  • Neurology top 2%
    • Transcranial Magnetic Stimulation Studies

Papers in

Robert Luypaert

78 papers receiving 2.1k citations

Peers

Robert Luypaert
Comparison fields: 5 of 120
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Neurology 305
  • Cognitive Neuroscience 570
  • Orthopedics and Sports Medicine 154
  • Genetics 180
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Citations per field
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Citations per year

Countries citing papers authored by Robert Luypaert

Since Specialization
Citations

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

Fields of papers citing papers by Robert Luypaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Luypaert. 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 Robert Luypaert. The network helps show where Robert Luypaert may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert Luypaert, 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 Robert Luypaert Line = papers co-authored together Robert Luypaert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings.
2001258
2 2014142
3 2011108
4 200186
5 201083
6 200572
7 200371
8 199470
9 200665
10 200964
11 199059
12 199058
13 200854
14 201053
15 199351
16 197751
17 201550
18 201447
19 197543
20 201039

About Robert Luypaert

Robert Luypaert is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Nuclear and High Energy Physics, Neurology and Atomic and Molecular Physics, and Optics, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (36 papers), MRI in cancer diagnosis (20 papers), Advanced Neuroimaging Techniques and Applications (18 papers), Neural and Behavioral Psychology Studies (10 papers), NMR spectroscopy and applications (9 papers), Transcranial Magnetic Stimulation Studies (8 papers), Medical Imaging Techniques and Applications (7 papers) and Advanced NMR Techniques and Applications (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Neurology (305 citations), Cognitive Neuroscience (570 citations), Orthopedics and Sports Medicine (154 citations) and Genetics (180 citations). Robert Luypaert has collaborated with scholars based in Belgium, United Kingdom and Netherlands. Frequent co-authors include Michel Osteaux, Steven Sourbron, Johan De Mey, Tadeusz Stadnik, Peter Van Schuerbeek, Chris Baeken, Rudi De Raedt, Axel Bossuyt, Marie–Anne Vanderhasselt and C. Chaskis. Their work appears in journals such as Magnetic Resonance Imaging, Physics in Medicine and Biology, Magnetic Resonance in Medicine, European Journal of Radiology and Magnetic Resonance Materials in Physics Biology and 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.

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