Michaël Aertsen

3.5k citations
61 papers · 2.0k indexed · 3 hit papers · h-index 16

Michaël Aertsen

55 papers receiving 1.9k citations

Hit Papers

Aleatoric uncertainty estimation with test-time augmentat...3552018202620202023100200300400500

Peers

Michaël Aertsen
Comparison fields: 5 of 138
  • Health Informatics 50
  • Computer Vision and Pattern Recognition 732
  • Radiology, Nuclear Medicine and Imaging 646
  • Neurology 213
  • Pediatrics, Perinatology and Child Health 399
Replace Tom Doel with:
Tom Doel United Kingdom
María A. Zuluaga France
Premal A. Patel United Kingdom
Óscar Cámara Spain
Miguel Á. González Ballester Spain
Marius George Linguraru United States
Fahmi Khalifa United States
Rosalind Pratt United Kingdom
Jie‐Zhi Cheng China
Xin Yang China
Michaël Aertsen relative to Tom Doel United Kingdom Tom Doel's profile →
Citations per field
00.5×1.5×2.3×
Tom Doel · 1×
Citations per year

Countries citing papers authored by Michaël Aertsen

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Aertsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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7 202211
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13 202175
14 202114
15 202030
16 20207
17 201914
18 201917
19 201820
20 20174

About Michaël Aertsen

Michaël Aertsen is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Developmental Biology, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (31 papers), Prenatal Screening and Diagnostics (11 papers), Congenital Diaphragmatic Hernia Studies (10 papers), Spinal Dysraphism and Malformations (10 papers), Cerebrospinal fluid and hydrocephalus (9 papers), Pregnancy and preeclampsia studies (5 papers), Autopsy Techniques and Outcomes (5 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Health Informatics (50 citations), Computer Vision and Pattern Recognition (732 citations), Radiology, Nuclear Medicine and Imaging (646 citations), Neurology (213 citations) and Pediatrics, Perinatology and Child Health (399 citations). Michaël Aertsen has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Jan Deprest, Tom Vercauteren, Sébastien Ourselin, Guotai Wang, Wenqi Li, Anna L. David, Tom Doel, Premal A. Patel, Rosalind Pratt and María A. Zuluaga. Their work appears in journals such as Ultrasound in Obstetrics and Gynecology, Prenatal Diagnosis, American Journal of Neuroradiology, Neuroradiology and American Journal of Obstetrics and Gynecology.

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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