Joël Schaerer

611 citations
31 papers · 452 · h-index 10

Impact in

Papers in

Joël Schaerer

29 papers receiving 441 citations

Peers

Joël Schaerer
Comparison fields: 5 of 53
  • Radiation 151
  • Radiology, Nuclear Medicine and Imaging 209
  • Computational Mathematics 4
  • Computer Vision and Pattern Recognition 135
  • Cardiology and Cardiovascular Medicine 68
Replace Alexander Schmidt-Richberg with:
Alexander Schmidt-Richberg Germany
Juergen Weese Germany
David Rivest‐Hénault Canada
Verónica García‐Vázquez Spain
Jason Grimes United States
B.H. Friemel United States
Dennis Säring Germany
Brian F. Hutton Australia
Dieter Seghers Belgium
Matthew Guy United Kingdom
Joël Schaerer relative to Alexander Schmidt-Richberg Germany Alexander Schmidt-Richberg's profile →
Citations per field
00.5×5.7×
Alexander Schmidt-Richberg · 1×
Citations per year

Countries citing papers authored by Joël Schaerer

Since Specialization
Citations

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

Fields of papers citing papers by Joël Schaerer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201191
2 201273
3 201062
4 201360
5 201148
6 202023
7 201016
8 200911
9 20149
10 20149
11 20157
12 20076
13 20055
14
VV, a 4D slicer
20115
15 20073
16 20143
17 20083
18 20132
19 20122
20 20112

About Joël Schaerer

Joël Schaerer is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Cognitive Neuroscience and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 452 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Medical Imaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (8 papers), Elasticity and Material Modeling (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Functional Brain Connectivity Studies (5 papers), Advanced Radiotherapy Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiation (151 citations), Radiology, Nuclear Medicine and Imaging (209 citations), Computational Mathematics (4 citations), Computer Vision and Pattern Recognition (135 citations) and Cardiology and Cardiovascular Medicine (68 citations). Joël Schaerer has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include David Sarrut, Jérôme Pousin, Patrick Clarysse, Marco Riboldi, G. Baroni, Aurora Fassi, Daniel Barbosa, Jan D’hooge, Olivier Bernard and Denis Friboulet. Their work appears in journals such as Alzheimer s & Dementia, Physics in Medicine and Biology, Radiotherapy and Oncology, Alzheimer s & Dementia Translational Research & Clinical Interventions and Medical Image Analysis.

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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