Daniël Ruijters

1.2k citations
68 papers · 876 · h-index 17

Impact in

Papers in

Daniël Ruijters

60 papers receiving 832 citations

Peers

Daniël Ruijters
Comparison fields: 5 of 76
  • Computer Graphics and Computer-Aided Design 92
  • Neurology 214
  • Computer Vision and Pattern Recognition 320
  • Radiology, Nuclear Medicine and Imaging 171
  • Pulmonary and Respiratory Medicine 120
Replace Yves Trousset with:
Yves Trousset France
Franç̧oise Prêteux France
Mathieu De Craene Spain
Peter J. Yim United States
Anja Hennemuth Germany
Erwan Kerrien France
Javier Oliván Bescós Netherlands
Florian Link Germany
Oliver Beuing Germany
David G. Gobbi Canada
Daniël Ruijters relative to Yves Trousset France Yves Trousset's profile →
Citations per field
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Yves Trousset · 1×
Citations per year

Countries citing papers authored by Daniël Ruijters

Since Specialization
Citations

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

Fields of papers citing papers by Daniël Ruijters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201288
2 200859
3 201056
4 201255
5 201445
6 201340
7
Optimizing GPU volume rendering
200640
8 200940
9 200337
10 201136
11 201336
12 201627
13 201521
14
GPU-accelerated digitally reconstructed radiographs
200821
15 201320
16 201120
17 201019
18 200916
19 202216
20 200915

About Daniël Ruijters

Daniël Ruijters is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design, Biomedical Engineering and Neurology, having authored 68 papers that have together received 876 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Computer Graphics and Visualization Techniques (14 papers), Medical Imaging Techniques and Applications (11 papers), Intracranial Aneurysms: Treatment and Complications (11 papers), Advanced Vision and Imaging (9 papers), Advanced X-ray and CT Imaging (7 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Advanced Optical Imaging Technologies (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (92 citations), Neurology (214 citations), Computer Vision and Pattern Recognition (320 citations), Radiology, Nuclear Medicine and Imaging (171 citations) and Pulmonary and Respiratory Medicine (120 citations). Daniël Ruijters has collaborated with scholars based in Netherlands, Finland and United States. Frequent co-authors include Bart M. ter Haar Romeny, Paul Suetens, P. Thévenaz, Olivier Brina, Vítor Mendes Pereira, Anna Vilanova, Odile Bonnefous, Draženko Babić, Rafik Ouared and Karl‐Olof Lövblad. Their work appears in journals such as American Journal of Neuroradiology, International Journal of Computer Assisted Radiology and Surgery, Medical Physics, Neuroradiology 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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