R.G. Aarnink

617 total citations
21 papers, 460 citations indexed

About

R.G. Aarnink is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, R.G. Aarnink has authored 21 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in R.G. Aarnink's work include Prostate Cancer Diagnosis and Treatment (13 papers), Medical Image Segmentation Techniques (6 papers) and AI in cancer detection (6 papers). R.G. Aarnink is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (13 papers), Medical Image Segmentation Techniques (6 papers) and AI in cancer detection (6 papers). R.G. Aarnink collaborates with scholars based in Netherlands, Türkiye and United States. R.G. Aarnink's 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 G.J. Jager and has published in prestigious journals such as The Journal of Urology, European Urology and Ultrasound in Medicine & Biology.

In The Last Decade

R.G. Aarnink

19 papers receiving 432 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
R.G. Aarnink Netherlands	11	281	125	124	107	103	21	460
René G. Aarnink Netherlands	9	191 0.7×	72 0.6×	28 0.2×	79 0.7×	48 0.5×	16	291
Orit E. Raz Israel	13	354 1.3×	56 0.4×	14 0.1×	95 0.9×	99 1.0×	40	606
Vincent Daanen France	11	174 0.6×	7 0.1×	203 1.6×	155 1.4×	24 0.2×	15	427
Sila Kurugol United States	14	292 1.0×	14 0.1×	70 0.6×	244 2.3×	10 0.1×	51	684
Oscar A. Debats Netherlands	10	441 1.6×	5 0.0×	193 1.6×	313 2.9×	79 0.8×	18	655
Chaijie Duan China	10	64 0.2×	26 0.2×	99 0.8×	109 1.0×	16 0.2×	27	336
Julien Henriet France	10	148 0.5×	16 0.1×	30 0.2×	43 0.4×	19 0.2×	39	319
U. Scheipers Germany	8	114 0.4×	9 0.1×	60 0.5×	281 2.6×	17 0.2×	24	436
Ismail Kabakus United States	13	416 1.5×	25 0.2×	12 0.1×	452 4.2×	76 0.7×	45	678

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-authorship network of co-authors of R.G. Aarnink

This figure shows the co-authorship network connecting the top 25 collaborators of R.G. Aarnink. A scholar is included among the top collaborators of R.G. Aarnink based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R.G. Aarnink. R.G. Aarnink is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Aarnink, R.G., Jean de la Rosette, F.M.J. Debruyne, & Hessel Wijkstra. (2002). A preprocessing algorithm for edge detection with multiple scales of resolution. 2. 903–904. 2 indexed citations

Aarnink, R.G., et al.. (2002). Planimetric volumetry of the prostate: influence of the step size. 15. 716–717.

Engelbrecht, Marc, Jelle O. Barentsz, G.J. Jager, et al.. (2000). Prostate cancer staging using imaging. British Journal of Urology. 86(s1). 123–134. 48 indexed citations

Ünal, Doǧan, J.P. Michiel Sedelaar, R.G. Aarnink, et al.. (2000). Three‐dimensional contrast‐enhanced power Doppler ultrasonography and conventional examination methods: the value of diagnostic predictors of prostate cancer. British Journal of Urology. 86(1). 58–64. 56 indexed citations

Aarnink, R.G., et al.. (1998). Edge detection in prostatic ultrasound images using integrated edge maps. Ultrasonics. 36(1-5). 635–642. 42 indexed citations

Witjes, Wim P.J., et al.. (1997). The correlation between prostate volume, transition zone volume, transition zone index and clinical and urodynamic investigations in patients with lower urinary tract symptoms. British Journal of Urology. 80(1). 84–90. 65 indexed citations

Aarnink, R.G.. (1996). Introduction to Internet. Radboud Repository (Radboud University). 6. 9–9. 1 indexed citations

Aarnink, R.G., Jean de la Rosette, F.M.J. Debruyne, & Hessel Wijkstra. (1996). Formula-Derived Prostate VolumeDetermination. European Urology. 29(4). 399–402. 25 indexed citations

Aarnink, R.G., et al.. (1996). Construction and application of hierarchical decision tree for classification of ultrasonographic prostate images. Medical & Biological Engineering & Computing. 34(2). 105–109. 8 indexed citations

10.

Aarnink, R.G., Jean de la Rosette, F.M.J. Debruyne, & Hessel Wijkstra. (1996). Reproducibility of prostate volume measurements from transrectal ultrasonography by an automated and a manual technique. British Journal of Urology. 78(2). 219–223. 31 indexed citations

11.

Aarnink, R.G., et al.. (1996). In Reply: Re: Automated Prostate Volume Determination with Ultrasonographic Imaging. The Journal of Urology. 155(3). 1038–1039. 1 indexed citations

12.

Aarnink, R.G., et al.. (1995). Planimetric volumetry of the prostate: how accurate is it?. Physiological Measurement. 16(3). 141–150. 17 indexed citations

13.

Rosette, Jean de la, et al.. (1995). Computerized analysis of transrectal ultrasonography images in the detection of prostate carcinoma. British Journal of Urology. 75(4). 485–491. 5 indexed citations

14.

Rosette, Jean de la, et al.. (1995). Automated Analysis andInterpretation of TransrectalUltrasonography Images inPatients with Prostatitis. European Urology. 27(1). 47–53. 17 indexed citations

15.

Rosette, Jean de la, et al.. (1995). Ultrasonic computer imaging of the prostate; correlation between longitudinal and transverse texture descriptions. European Journal of Ultrasound. 2(2). 145–149. 4 indexed citations

16.

Aarnink, R.G., et al.. (1995). Computer Analysis of Transrectal Ultrasound Images of Prostate for Detection of Carcinoma: Prospective Study in Radical Prostatectomy Specimens. The Journal of Urology. 154(4). 1397–1400. 16 indexed citations

17.

Rosette, Jean de la, et al.. (1994). The reliability of computer analysis of ultrasonographic prostate images: The influence of inconsistent histopathology. Ultrasound in Medicine & Biology. 20(9). 871–876. 7 indexed citations

18.

Aarnink, R.G., et al.. (1994). A practical clinical method for contour determination in ultrasonographic prostate images. Ultrasound in Medicine & Biology. 20(8). 705–717. 45 indexed citations

19.

Rosette, Jean de la, et al.. (1994). Analysis of ultrasonographic prostate images for the detection of prostatic carcinoma: The Automated Urologic Diagnostic Expert system. Ultrasound in Medicine & Biology. 20(1). 1–10. 60 indexed citations

20.

Aarnink, R.G., et al.. (1992). Automated prostate volume determination. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2146–2147. 2 indexed citations

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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