Marijn van Stralen

2.3k citations
98 papers · 1.5k indexed · h-index 21
Topics
Advanced MRI Techniques and Applications (36 papers)Cardiac Valve Diseases and Treatments (22 papers)Medical Image Segmentation Techniques (19 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Marijn van Stralen

93 papers receiving 1.5k citations

Peers

Marijn van Stralen
Comparison fields: 5 of 101
  • Radiology, Nuclear Medicine and Imaging 626
  • Surgery 618
  • Biomedical Engineering 353
  • Pathology and Forensic Medicine 278
  • Computer Vision and Pattern Recognition 222
Replace Fulvio Zaccagna with:
Fulvio Zaccagna Italy
Loren T. Niklason United States
Ansgar Malich Germany
Magda Marcon Switzerland
Ronald A. Karwoski United States
Claire Pellot‐Barakat France
Qi Song China
Sang Joon Park South Korea
Wolfgang Wein Germany
Jifke F. Veenland Netherlands
Marijn van Stralen relative to Fulvio Zaccagna Italy Fulvio Zaccagna's profile →
Citations per field
00.5×4.3×
Fulvio Zaccagna · 1×
Citations per year

Countries citing papers authored by Marijn van Stralen

Since Specialization
Citations

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

Fields of papers citing papers by Marijn van Stralen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marijn van Stralen. 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 Marijn van Stralen. The network helps show where Marijn van Stralen may publish in the future.

Co-authorship network of co-authors of Marijn van Stralen

This figure shows the co-authorship network connecting the top 25 collaborators of Marijn van Stralen. A scholar is included among the top collaborators of Marijn van Stralen 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 Marijn van Stralen. Marijn van Stralen 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
#WorkIndexed citations
1 11
2 10
3 12
4 51
5 6
6 9
7 42
8 7
9 10
10 0
11 4
12 14
13 47
14 25
15 7
16 27
17 23
18 5
19 22
20 17

About Marijn van Stralen

Marijn van Stralen is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 98 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (36 papers), Cardiac Valve Diseases and Treatments (22 papers) and Medical Image Segmentation Techniques (19 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (626 citations), Health Informatics (27 citations) and Pathology and Forensic Medicine (278 citations). Marijn van Stralen has collaborated with scholars based in Netherlands, Hong Kong and China. Frequent co-authors include Peter R. Seevinck, René M. Castelein, Mateusz C. Florkow, Johan G. Bosch, Tom P. C. Schlösser, Koen L. Vincken, Rob C. Brink, Jack C. Y. Cheng, Chiu‐Wing Winnie Chu and Nico de Jong. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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