Robert Van Uitert

493 total citations
16 papers, 352 citations indexed

About

Robert Van Uitert is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Robert Van Uitert has authored 16 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Robert Van Uitert's work include Medical Image Segmentation Techniques (6 papers), Colorectal Cancer Screening and Detection (4 papers) and Advanced MRI Techniques and Applications (4 papers). Robert Van Uitert is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Colorectal Cancer Screening and Detection (4 papers) and Advanced MRI Techniques and Applications (4 papers). Robert Van Uitert collaborates with scholars based in United States, Germany and France. Robert Van Uitert's co-authors include Ingmar Bitter, Leonid Zhukov, Ivo Wolf, Tolga Taşdizen, Luis Ibáñez, Ronald M. Summers, Joe Kniss, Jan‐Martin Kuhnigk, Christopher R. Johnson and Charles Hansen and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Medical Physics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Robert Van Uitert

16 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Van Uitert United States 9 157 116 65 62 42 16 352
N. Ayache France 7 151 1.0× 350 3.0× 28 0.4× 85 1.4× 23 0.5× 10 645
Ken’ichi Morooka Japan 11 172 1.1× 69 0.6× 26 0.4× 74 1.2× 20 0.5× 53 402
Ricardo S. Avila United States 11 76 0.5× 225 1.9× 54 0.8× 50 0.8× 23 0.5× 27 431
Shuchang Zhou China 13 388 2.5× 110 0.9× 59 0.9× 33 0.5× 23 0.5× 33 662
Jun‐ichi Hasegawa Japan 11 299 1.9× 169 1.5× 41 0.6× 77 1.2× 30 0.7× 73 634
Klaus D. Toennies Germany 11 378 2.4× 145 1.3× 35 0.5× 82 1.3× 11 0.3× 40 630
Nianyi Li United States 14 615 3.9× 68 0.6× 26 0.4× 42 0.7× 24 0.6× 35 939
J. Toriwaki Japan 10 320 2.0× 103 0.9× 76 1.2× 78 1.3× 21 0.5× 46 550
Julien Jomier United States 13 259 1.6× 308 2.7× 47 0.7× 175 2.8× 13 0.3× 32 746
A.M. Vossepoel Netherlands 15 334 2.1× 259 2.2× 22 0.3× 70 1.1× 16 0.4× 59 731

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-authorship network of co-authors of Robert Van Uitert

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Van Uitert. A scholar is included among the top collaborators of Robert Van Uitert 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 Robert Van Uitert. Robert Van Uitert 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
1.
Liu, Jiamin, et al.. (2011). Improved computer‐aided detection of small polyps in CT colonography using interpolation for curvature estimationa). Medical Physics. 38(7). 4276–4284. 8 indexed citations
2.
Uitert, Robert Van, Jianhua Yao, Nicholas Petrick, et al.. (2008). Wavelet method for CT colonography computer-aided polyp detectiona). Medical Physics. 35(8). 3527–3538. 22 indexed citations
3.
Liu, Jianfei, Kalpathi Subramanian, Terry S. Yoo, & Robert Van Uitert. (2008). A stable optic-flow based method for tracking colonoscopy images. 1–8. 13 indexed citations
4.
Uitert, Robert Van & Ingmar Bitter. (2007). Subvoxel precise skeletons of volumetric data based on fast marching methods. Medical Physics. 34(2). 627–638. 88 indexed citations
5.
Bitter, Ingmar, Robert Van Uitert, Ivo Wolf, Luis Ibáñez, & Jan‐Martin Kuhnigk. (2007). Comparison of Four Freely Available Frameworks for Image Processing and Visualization That Use ITK. IEEE Transactions on Visualization and Computer Graphics. 13(3). 483–493. 51 indexed citations
6.
Uitert, Robert Van, Ingmar Bitter, & Ronald M. Summers. (2006). Detection of Colon Wall Outer Boundary and Segmentation of the Colon Wall Based on Level Set Methods. PubMed. 18. 3017–3020. 9 indexed citations
7.
Bitter, Ingmar, Robert Van Uitert, Ivo Wolf, et al.. (2006). Virtual Contrast for Coronary Vessels Based on Level Set Generated Subvoxel Accurate Centerlines. International Journal of Biomedical Imaging. 2006(1). 94025–94025. 5 indexed citations
8.
Uitert, Robert Van, Ingmar Bitter, & John A. Butman. (2006). Semi-automatic segmentation and quantification of 3D spinal cord data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6143. 61430S–61430S. 2 indexed citations
9.
Uitert, Robert Van, Ingmar Bitter, Marek Franaszek, & Ronald M. Summers. (2006). Automatic Correction of Level Set Based Subvoxel Accurate Centerlines for Virtual Colonoscopy. 303–306. 3 indexed citations
10.
Uitert, Robert Van, Ingmar Bitter, Ronald M. Summers, J. Richard Choi, & Perry J. Pickhardt. (2006). Quantitative assessment of colon distention for polyp detection in CT virtual colonoscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6143. 61431B–61431B. 4 indexed citations
11.
Kniss, Joe, et al.. (2006). Statistically Quantitative Volume Visualization. 37–37. 62 indexed citations
12.
Uitert, Robert Van, Ingmar Bitter, & John A. Butman. (2005). Semi-automatic spinal cord segmentation and quantification. International Congress Series. 1281. 224–229. 20 indexed citations
13.
Uitert, Robert Van, Christopher R. Johnson, & Leonid Zhukov. (2004). Influence of Head Tissue Conductivity in Forward and Inverse Magnetoencephalographic Simulations Using Realistic Head Models. IEEE Transactions on Biomedical Engineering. 51(12). 2129–2137. 30 indexed citations
14.
Uitert, Robert Van & Chris R. Johnson. (2004). Influence of brain conductivity on magnetoencephalographic simulations in realistic head models. 2136–2139. 2 indexed citations
15.
Uitert, Robert Van, David M. Weinstein, & Chris R. Johnson. (2003). Volume Currents in Forward and Inverse Magnetoencephalographic Simulations Using Realistic Head Models. Annals of Biomedical Engineering. 31(1). 21–31. 25 indexed citations
16.
Uitert, Robert Van, David M. Weinstein, Colin G. Johnson, & Leonid Zhukov. (2001). Finite Elenent EEG and MEG Simulations for Realistic Head Models: Quadratic vs. Linear Approximations. Biomedizinische Technik/Biomedical Engineering. 46(s2). 32–34. 8 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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