Robert Van Uitert

17 papers receiving 401 citations

Peers

Robert Van Uitert
Comparison fields: 5 of 83
  • Computer Graphics and Computer-Aided Design 71
  • Computer Vision and Pattern Recognition 161
  • Radiology, Nuclear Medicine and Imaging 105
  • Biophysics 25
  • Cognitive Neuroscience 39
Replace N. Ayache with:
N. Ayache France
Róbert Tóth United States
Javier Oliván Bescós Netherlands
Julien Jomier United States
Florian Link Germany
Rubén Cárdenes Spain
Adam Huang United States
Michael Schwier Germany
Lawrence A. Ray United States
Dong‐Hwan Har South Korea
Robert Van Uitert relative to N. Ayache France N. Ayache's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert Van Uitert

Since Specialization
Citations

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

Fields of papers citing papers by Robert Van Uitert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Van Uitert. 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 Robert Van Uitert. The network helps show where Robert Van Uitert may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert Van Uitert, 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 Robert Van Uitert Line = papers co-authored together Robert Van Uitert links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200799
2 200667
3 200757
4 200432
5 200327
6 200825
7 201024
8 200520
9 200815
10 201112
11 200112
12 200610
13 20066
14 20064
15 20064
16 20043
17 20062

About Robert Van Uitert

Robert Van Uitert is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Oncology and Surgery, having authored 17 papers that have together received 419 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Advanced MRI Techniques and Applications (4 papers), Colorectal Cancer Screening and Detection (3 papers), Functional Brain Connectivity Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Imaging and Analysis (2 papers), Spinal Fractures and Fixation Techniques (2 papers) and Spine and Intervertebral Disc Pathology (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (71 citations), Computer Vision and Pattern Recognition (161 citations), Radiology, Nuclear Medicine and Imaging (105 citations), Biophysics (25 citations) and Cognitive Neuroscience (39 citations). Robert Van Uitert has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Ingmar Bitter, Leonid Zhukov, David M. Weinstein, Ivo Wolf, Christopher R. Johnson, Chris R. Johnson, Joe Kniss, Charles Hansen, Ronald M. Summers and Jan‐Martin Kuhnigk. Their work appears in journals such as Medical Physics, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Visualization and Computer Graphics, Arthritis Research & Therapy and Annals of Biomedical Engineering.

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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