Ruud van Stiphout

457 citations
16 papers · 311 indexed · h-index 8
Topics
Radiomics and Machine Learning in Medical Imaging (3 papers)Colorectal Cancer Surgical Treatments (3 papers)Medical Imaging Techniques and Applications (2 papers)

In The Last Decade

Ruud van Stiphout

16 papers receiving 310 citations

Peers

Ruud van Stiphout
Comparison fields: 5 of 70
  • Radiology, Nuclear Medicine and Imaging 106
  • Oncology 102
  • Molecular Biology 96
  • Cancer Research 59
  • Surgery 44
Replace Maarten Niemantsverdriet with:
Maarten Niemantsverdriet Netherlands
Toshimi Sato Japan
Qiyuan Qin China
Jing Cheng China
Liangchao Sun China
Jiamei Fu China
Hoon Sik Choi South Korea
Lucy Chow United States
Huijuan Feng China
J.A. Burgers Netherlands
Ruud van Stiphout relative to Maarten Niemantsverdriet Netherlands Maarten Niemantsverdriet's profile →
Citations per field
00.5×1.5×2.3×
Maarten Niemantsverdriet · 1×
Citations per year

Countries citing papers authored by Ruud van Stiphout

Since Specialization
Citations

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

Fields of papers citing papers by Ruud van Stiphout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruud van Stiphout

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 4
3 5
4 5
5 3
6 6
7 51
8 10
9 8
10 24
11 57
12 47
13 41
14 2
15 2
16 45

About Ruud van Stiphout

Ruud van Stiphout is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Applied Psychology, having authored 16 papers that have together received 311 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Colorectal Cancer Surgical Treatments (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (106 citations), Cancer Research (59 citations) and Oncology (102 citations). Ruud van Stiphout has collaborated with scholars based in Netherlands, United Kingdom and Spain. Frequent co-authors include Philippe Lambin, Guido Lammering, Francesca M. Buffa, Dimitris Visvikis, Adrien Le Pogam, Mathieu Hatt, Adrian L. Harris, Geerard L. Beets, Hiska L. van der Weide and Jørgen van den Bogaard. Their work appears in journals such as Cancer Research, Thorax and Medical Physics.

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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