Sofie Van Cauter

939 citations
22 papers · 718 · h-index 13

Impact in

Papers in

    • MRI in cancer diagnosis 8
    • Advanced MRI Techniques and Applications 8
    • Advanced Neuroimaging Techniques and Applications 7
    • Radiomics and Machine Learning in Medical Imaging 4
    • Brain Tumor Detection and Classification 6

Sofie Van Cauter

21 papers receiving 714 citations

Peers

Sofie Van Cauter
Comparison fields: 5 of 69
  • Computational Mathematics 15
  • Radiology, Nuclear Medicine and Imaging 513
  • Genetics 229
  • Neurology 93
  • Orthopedics and Sports Medicine 89
Replace Yaniv Gal with:
Yaniv Gal Australia
Anahita Fathi Kazerooni United States
Corrado Baratti Italy
Barbara Bobek‐Billewicz Poland
Sylvia Drabycz Canada
Colm Elliott Canada
Kyriaki Theodorou Greece
Muhamed Baraković Switzerland
Zhongping Chen China
Changhong Liang China
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Citations per field
00.5×10×14.8×
Yaniv Gal · 1×
Citations per year

Countries citing papers authored by Sofie Van Cauter

Since Specialization
Citations

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

Fields of papers citing papers by Sofie Van Cauter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofie Van Cauter. 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 Sofie Van Cauter. The network helps show where Sofie Van Cauter may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012280
2 200966
3 201062
4 201461
5 201654
6 201229
7 202027
8 201523
9 201621
10 201718
11 201316
12 201215
13 201212
14 20159
15 20097
16 20156
17 20124
18 20124
19 20142
20 20241

About Sofie Van Cauter

Sofie Van Cauter is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Computer Vision and Pattern Recognition, Genetics and Artificial Intelligence, having authored 22 papers that have together received 718 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (8 papers), Advanced MRI Techniques and Applications (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Brain Tumor Detection and Classification (6 papers), Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Glioma Diagnosis and Treatment (4 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Computational Mathematics (15 citations), Radiology, Nuclear Medicine and Imaging (513 citations), Genetics (229 citations), Neurology (93 citations) and Orthopedics and Sports Medicine (89 citations). Sofie Van Cauter has collaborated with scholars based in Belgium, China and Netherlands. Frequent co-authors include Uwe Himmelreich, Stefan Sunaert, Steven De Vleeschouwer, Jelle Veraart, Stefaan W. Van Gool, Ronald Peeters, Frederik De Keyzer, Diana M. Sima, Sabine Van Huffel and Jan Sijbers. Their work appears in journals such as Neuroradiology, NMR in Biomedicine, BioMed Research International, Frontiers in Neuroscience and NeuroImage Clinical.

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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