Mark J. Stoutjesdijk

750 total citations
8 papers, 397 citations indexed

About

Mark J. Stoutjesdijk is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Surgery. According to data from OpenAlex, Mark J. Stoutjesdijk has authored 8 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Genetics and 1 paper in Surgery. Recurrent topics in Mark J. Stoutjesdijk's work include MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced MRI Techniques and Applications (3 papers). Mark J. Stoutjesdijk is often cited by papers focused on MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced MRI Techniques and Applications (3 papers). Mark J. Stoutjesdijk collaborates with scholars based in Netherlands and United States. Mark J. Stoutjesdijk's co-authors include C. Boetes, Jelle O. Barentsz, LFAG Massuger, G.J. Jager, J.H.C.L. Hendriks, Theo Wobbes, Robert J.F. Laheij, L.V.A.M. Beex, Peter Bult and Jurgen J. Fütterer and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Journal of Magnetic Resonance Imaging and European Radiology.

In The Last Decade

Mark J. Stoutjesdijk

8 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. Stoutjesdijk Netherlands 6 263 156 106 74 61 8 397
Andrea Hocke Germany 2 264 1.0× 207 1.3× 114 1.1× 109 1.5× 80 1.3× 2 414
Taube H. Samuels Canada 5 169 0.6× 179 1.1× 122 1.2× 115 1.6× 92 1.5× 7 400
Inge‐Marie Obdeijn Netherlands 7 164 0.6× 159 1.0× 137 1.3× 144 1.9× 110 1.8× 7 368
Clelia de Giacomi Italy 7 166 0.6× 154 1.0× 163 1.5× 131 1.8× 161 2.6× 8 447
Woo-Chul Noh South Korea 8 122 0.5× 140 0.9× 117 1.1× 173 2.3× 86 1.4× 18 383
Margrethe Schlooz-Vries Netherlands 8 100 0.4× 83 0.5× 34 0.3× 80 1.1× 56 0.9× 10 197
R Bassermann Germany 7 259 1.0× 95 0.6× 29 0.3× 51 0.7× 31 0.5× 25 375
Yingjian He China 12 77 0.3× 95 0.6× 56 0.5× 181 2.4× 97 1.6× 45 382
Daly Avendaño Italy 12 368 1.4× 149 1.0× 17 0.2× 170 2.3× 83 1.4× 17 543
Clarissa Filorizzo Italy 9 33 0.1× 66 0.4× 101 1.0× 61 0.8× 110 1.8× 16 294

Countries citing papers authored by Mark J. Stoutjesdijk

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Stoutjesdijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Stoutjesdijk. 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 Mark J. Stoutjesdijk. The network helps show where Mark J. Stoutjesdijk may publish in the future.

Co-authorship network of co-authors of Mark J. Stoutjesdijk

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Stoutjesdijk. A scholar is included among the top collaborators of Mark J. Stoutjesdijk 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 Mark J. Stoutjesdijk. Mark J. Stoutjesdijk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Stoutjesdijk, Mark J., et al.. (2022). Vascular anomaly diagnosis by central venous catheter misplacement: a case report. Journal of Medical Case Reports. 16(1). 259–259. 1 indexed citations
2.
Stoutjesdijk, Mark J., et al.. (2012). Computer aided analysis of breast MRI enhancement kinetics using mean shift c lustering and multifeature iterative region of interest selection. Journal of Magnetic Resonance Imaging. 36(5). 1104–1112. 5 indexed citations
3.
Veltman, Jeroen, Mark J. Stoutjesdijk, Ritse M. Mann, et al.. (2008). Contrast-enhanced magnetic resonance imaging of the breast: the value of pharmacokinetic parameters derived from fast dynamic imaging during initial enhancement in classifying lesions. European Radiology. 18(6). 1123–1133. 42 indexed citations
4.
Stoutjesdijk, Mark J., Jeroen Veltman, Henkjan Huisman, et al.. (2007). Automated analysis of contrast enhancement in breast MRI lesions using mean shift clustering for ROI selection. Journal of Magnetic Resonance Imaging. 26(3). 606–614. 23 indexed citations
5.
Stoutjesdijk, Mark J., et al.. (2005). Variability in the Description of Morphologic and Contrast Enhancement Characteristics of Breast Lesions onMagnetic Resonance Imaging. Investigative Radiology. 40(6). 355–362. 74 indexed citations
6.
Stoutjesdijk, Mark J., C. Boetes, G.J. Jager, et al.. (2001). Magnetic Resonance Imaging and Mammography in Women With a Hereditary Risk of Breast Cancer. JNCI Journal of the National Cancer Institute. 93(14). 1095–1102. 224 indexed citations
7.
Boetes, C. & Mark J. Stoutjesdijk. (2001). MR IMAGING IN SCREENING WOMEN AT INCREASED RISK FOR BREAST CANCER. Magnetic Resonance Imaging Clinics of North America. 9(2). 357–372. 23 indexed citations
8.
Brake, G.M. te, Mark J. Stoutjesdijk, & Nico Karssemeijer. (1999). <title>Discrete dynamic contour model for mass segmentation in digital mammograms</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3661. 911–919. 5 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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