Wim Dries

20 papers receiving 575 citations

Peers

Wim Dries
Comparison fields: 5 of 64
  • Radiation 159
  • Health Informatics 23
  • Radiology, Nuclear Medicine and Imaging 145
  • Oncology 126
  • Pulmonary and Respiratory Medicine 142
Replace Andrzej P. Wojcieszynski with:
Andrzej P. Wojcieszynski United States
Andrea Damiani Italy
Jacqueline E. Livsey United Kingdom
A. Botti Italy
Elisa Meldolesi Italy
Christopher L. Williams United States
Paul Knechtges United States
Tomas Janssen Netherlands
Giuditta Chiloiro Italy
Xiao Hu China
Wim Dries relative to Andrzej P. Wojcieszynski United States Andrzej P. Wojcieszynski's profile →
Citations per field
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Andrzej P. Wojcieszynski · 1×
Citations per year

Countries citing papers authored by Wim Dries

Since Specialization
Citations

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

Fields of papers citing papers by Wim Dries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wim Dries, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wim Dries Line = papers co-authored together Wim Dries links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2016114
2 201788
3 200055
4 199949
5 200143
6 199639
7 200133
8 201831
9 202022
10 202019
11 200817
12 199717
13 200015
14 202115
15 200213
16 19958
17 20064
18 20223
19 20133
20 20161

About Wim Dries

Wim Dries is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Oncology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 589 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (7 papers), Colorectal Cancer Surgical Treatments (6 papers), Radiation Therapy and Dosimetry (4 papers), Radiation Dose and Imaging (2 papers), Peripheral Artery Disease Management (2 papers), Colorectal and Anal Carcinomas (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Radiation (159 citations), Health Informatics (23 citations), Radiology, Nuclear Medicine and Imaging (145 citations), Oncology (126 citations) and Pulmonary and Respiratory Medicine (142 citations). Wim Dries has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include H.J.T. Rutten, Philippe Coucke, Philippe Lambin, Michael J. Eble, André Dekker, Johan van Soest, Timo M. Deist, Arthur Jochems, Paul Bulens and O.J. Repelaer van Driel. Their work appears in journals such as Radiotherapy and Oncology, Clinical and Translational Radiation Oncology, International Journal of Radiation Oncology*Biology*Physics, Medical Physics and Catheterization and Cardiovascular Interventions.

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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