R.G. Aarnink

617 citations
21 papers · 460 · h-index 11

Impact in

Papers in

R.G. Aarnink

19 papers receiving 432 citations

Peers

R.G. Aarnink
Comparison fields: 5 of 53
  • Urology 125
  • Pulmonary and Respiratory Medicine 281
  • Rheumatology 103
  • Computer Vision and Pattern Recognition 124
  • Radiology, Nuclear Medicine and Imaging 107
Replace René G. Aarnink with:
René G. Aarnink Netherlands
Orit E. Raz Israel
Vincent Daanen France
Sila Kurugol United States
Chaijie Duan China
Oscar A. Debats Netherlands
Julien Henriet France
U. Scheipers Germany
Ismail Kabakus United States
R.G. Aarnink relative to René G. Aarnink Netherlands René G. Aarnink's profile →
Citations per field
00.5×10×
René G. Aarnink · 1×
Citations per year

Countries citing papers authored by R.G. Aarnink

Since Specialization
Citations

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

Fields of papers citing papers by R.G. Aarnink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.G. Aarnink. 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 R.G. Aarnink. The network helps show where R.G. Aarnink may publish in the future.

Co-authors

The 17 scholars most cited alongside R.G. Aarnink, 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 R.G. Aarnink Line = papers co-authored together R.G. Aarnink links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199765
2 199460
3 200056
4 200048
5 199445
6 199842
7 199631
8 199625
9 199517
10 199517
11 199516
12 19968
13 19978
14 19947
15 19955
16 19954
17 20022
18 19922
19
Introduction to Internet
19961
20 19961

About R.G. Aarnink

R.G. Aarnink is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Urology, having authored 21 papers that have together received 460 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (13 papers), AI in cancer detection (6 papers), Medical Image Segmentation Techniques (6 papers), Corneal surgery and disorders (3 papers), Image and Object Detection Techniques (3 papers), Image and Signal Denoising Methods (3 papers), Urinary Bladder and Prostate Research (3 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Urology (125 citations), Pulmonary and Respiratory Medicine (281 citations), Rheumatology (103 citations), Computer Vision and Pattern Recognition (124 citations) and Radiology, Nuclear Medicine and Imaging (107 citations). R.G. Aarnink has collaborated with scholars based in Netherlands, Türkiye and United States. Frequent co-authors include Jean de la Rosette, Hessel Wijkstra, F.M.J. Debruyne, J.P. Michiel Sedelaar, Wim P.J. Witjes, F.M.J. Debruyne, Geert J.L.H. van Leenders, Doǧan Ünal, Yongmin Kim and Marc Engelbrecht. Their work appears in journals such as Ultrasound in Medicine & Biology, The Journal of Urology, European Urology, British Journal of Urology and European Journal of Ultrasound.

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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