Matthieu Rutten

4.6k total citations · 1 hit paper
67 papers, 1.9k citations indexed

About

Matthieu Rutten is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Matthieu Rutten has authored 67 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Surgery, 25 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Matthieu Rutten's work include Shoulder Injury and Treatment (11 papers), Orthopedic Surgery and Rehabilitation (10 papers) and Breast Lesions and Carcinomas (10 papers). Matthieu Rutten is often cited by papers focused on Shoulder Injury and Treatment (11 papers), Orthopedic Surgery and Rehabilitation (10 papers) and Breast Lesions and Carcinomas (10 papers). Matthieu Rutten collaborates with scholars based in Netherlands, United States and Germany. Matthieu Rutten's co-authors include Bram van Ginneken, Steven Schalekamp, Gerrit J. Jager, Maarten de Rooij, Kicky G. van Leeuwen, Johan G. Blickman, Lambertus A. Kiemeney, M.C. de Waal Malefijt, James M. Collins and G.J. Jager and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Matthieu Rutten

66 papers receiving 1.8k citations

Hit Papers

Artificial intelligence i... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthieu Rutten Netherlands 26 791 647 400 370 336 67 1.9k
Elmar Kotter Germany 27 1.4k 1.8× 775 1.2× 508 1.3× 674 1.8× 186 0.6× 112 2.7k
Tobias Heye Switzerland 26 1.4k 1.8× 453 0.7× 82 0.2× 416 1.1× 424 1.3× 93 2.6k
Patrick Omoumi Switzerland 29 937 1.2× 1.1k 1.7× 135 0.3× 416 1.1× 224 0.7× 146 2.8k
B. Gallix France 25 796 1.0× 749 1.2× 93 0.2× 470 1.3× 378 1.1× 99 2.2k
Michael D. Beland United States 27 1.3k 1.6× 1.6k 2.5× 107 0.3× 791 2.1× 325 1.0× 68 3.7k
Leslie M. Scoutt United States 29 1.2k 1.5× 1.6k 2.5× 92 0.2× 418 1.1× 255 0.8× 98 4.0k
Keno K. Bressem Germany 26 785 1.0× 145 0.2× 534 1.3× 224 0.6× 136 0.4× 109 1.8k
Michaela Cellina Italy 24 610 0.8× 456 0.7× 139 0.3× 252 0.7× 82 0.2× 121 1.5k
Yuhao Dong China 20 1.3k 1.6× 215 0.3× 71 0.2× 390 1.1× 95 0.3× 50 2.0k
Fuminari Tatsugami Japan 30 2.7k 3.4× 615 1.0× 259 0.6× 519 1.4× 142 0.4× 114 3.6k

Countries citing papers authored by Matthieu Rutten

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Rutten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Rutten

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

All Works

20 of 20 papers shown
1.
Scholten, Ernst T., et al.. (2025). Artificial intelligence for the detection of airway nodules in chest CT scans. European Radiology. 35(9). 5615–5625.
2.
Scholten, Ernst T., Ewoud J. Smit, Matthieu Rutten, et al.. (2025). The ULS23 challenge: A baseline model and benchmark dataset for 3D universal lesion segmentation in computed tomography. Medical Image Analysis. 102. 103525–103525. 3 indexed citations
3.
Hooff, Miranda L. van, Constantinus F. M. Buckens, Matthieu Rutten, et al.. (2024). Lumbar spine segmentation in MR images: a dataset and a public benchmark. Scientific Data. 11(1). 264–264. 27 indexed citations
4.
Schalekamp, Steven, Kicky G. van Leeuwen, Erdi Çallı, et al.. (2024). Performance of AI to exclude normal chest radiographs to reduce radiologists’ workload. European Radiology. 34(11). 7255–7263. 8 indexed citations
5.
Hooff, Miranda L. van, et al.. (2024). AI-based lumbar central canal stenosis classification on sagittal MR images is comparable to experienced radiologists using axial images. European Radiology. 35(4). 2298–2306. 4 indexed citations
6.
Leeuwen, Kicky G. van, D. Grob, Frank de Lange, et al.. (2023). AI-support for the detection of intracranial large vessel occlusions: One-year prospective evaluation. Heliyon. 9(8). e19065–e19065. 3 indexed citations
7.
Leeuwen, Kicky G. van, Maarten de Rooij, Steven Schalekamp, Bram van Ginneken, & Matthieu Rutten. (2023). Clinical use of artificial intelligence products for radiology in the Netherlands between 2020 and 2022. European Radiology. 34(1). 348–354. 24 indexed citations
8.
Leeuwen, Kicky G. van, Steven Schalekamp, Matthieu Rutten, Bram van Ginneken, & Maarten de Rooij. (2021). Artificial intelligence in radiology: 100 commercially available products and their scientific evidence. European Radiology. 31(6). 3797–3804. 260 indexed citations breakdown →
9.
Murphy, Keelin, Arnoud J.G. Knoops, Ernst T. Scholten, et al.. (2020). COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System. Radiology. 296(3). E166–E172. 146 indexed citations
10.
Lange, Stéphanie V. de, Marije F. Bakker, Evelyn M. Monninkhof, et al.. (2018). Reasons for (non)participation in supplemental population-based MRI breast screening for women with extremely dense breasts. Clinical Radiology. 73(8). 759.e1–759.e9. 25 indexed citations
11.
Zelst, Jan van, Maschenka Balkenhol, Tao Tan, et al.. (2017). Sonographic Phenotypes of Molecular Subtypes of Invasive Ductal Cancer in Automated 3-D Breast Ultrasound. Ultrasound in Medicine & Biology. 43(9). 1820–1828. 8 indexed citations
12.
Meulepas, Johanna M., Anne Smets, Rutger A. J. Nievelstein, et al.. (2016). Trends and patterns of computed tomography scan use among children in The Netherlands: 1990–2012. European Radiology. 27(6). 2426–2433. 16 indexed citations
13.
Kant, Ilse, et al.. (2015). Low-dose CT angiography of the abdominal aorta and reduced contrast medium volume: Assessment of image quality and radiation dose. Clinical Radiology. 71(1). 64–73. 30 indexed citations
14.
Vos, Charlotte S. van der, et al.. (2013). Reduction of contrast medium volume in abdominal aorta CTA: Multiphasic injection technique versus a test bolus volume. European Journal of Radiology. 82(9). 1373–1378. 12 indexed citations
15.
Vos, Charlotte S. van der, et al.. (2012). Reduced contrast medium in abdominal aorta CTA using a multiphasic injection technique. European Journal of Radiology. 82(2). 252–257. 10 indexed citations
16.
Rutten, Matthieu, et al.. (2009). Detection of rotator cuff tears: the value of MRI following ultrasound. European Radiology. 20(2). 450–457. 74 indexed citations
17.
Rutten, Matthieu, et al.. (2008). Glenohumeral joint injection: a comparative study of ultrasound and fluoroscopically guided techniques before MR arthrography. European Radiology. 19(3). 722–730. 86 indexed citations
18.
Graaf, Yolanda van der, Arno W. Hoes, Sandra Kalmijn, et al.. (2006). Chest radiography in general practice: indications, diagnostic yield and consequences for patient management.. PubMed. 56(529). 574–8. 73 indexed citations
19.
Rutten, Matthieu, James M. Collins, A. van Kampen, & G.J. Jager. (1998). Meniscal cysts: detection with high-resolution sonography.. American Journal of Roentgenology. 171(2). 491–496. 44 indexed citations
20.
Rutten, Matthieu & G.J. Jager. (1996). Epiploic appendicitis: Ultrasound and CT characteristics. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 164(3). 264–265. 1 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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