T Cullip

591 citations
35 papers · 477 · h-index 10

Impact in

Papers in

T Cullip

34 papers receiving 434 citations

Peers

T Cullip
Comparison fields: 5 of 59
  • Computer Graphics and Computer-Aided Design 104
  • Radiation 208
  • Radiology, Nuclear Medicine and Imaging 200
  • Computer Vision and Pattern Recognition 121
  • Pulmonary and Respiratory Medicine 124
Replace Timothy J. Cullip with:
Timothy J. Cullip United States
Milo Hindennach Germany
M Svatos United States
R. Mullick United States
Günter Lauritsch Germany
Sebastian Eulenstein Germany
Stefan Kraß Germany
Yuma Iwao Japan
Shlomo Shalev Canada
T. J. Beck United States
T Cullip relative to Timothy J. Cullip United States Timothy J. Cullip's profile →
Citations per field
00.5×
Timothy J. Cullip · 1×
Citations per year

Countries citing papers authored by T Cullip

Since Specialization
Citations

This map shows the geographic impact of T Cullip'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 T Cullip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Cullip more than expected).

Fields of papers citing papers by T Cullip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994116
2 199874
3 199258
4 199641
5 199537
6 201520
7 199120
8 199315
9 199514
10 201611
11 20127
12 20066
13 20026
14 20026
15 19975
16 20025
17 20025
18 19944
19 19974
20 19984

About T Cullip

T Cullip is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 477 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (12 papers), Computer Graphics and Visualization Techniques (11 papers), Medical Imaging Techniques and Applications (7 papers), 3D Shape Modeling and Analysis (7 papers), Radiation Therapy and Dosimetry (5 papers), Medical Image Segmentation Techniques (4 papers), Radiation Detection and Scintillator Technologies (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (104 citations), Radiation (208 citations), Radiology, Nuclear Medicine and Imaging (200 citations), Computer Vision and Pattern Recognition (121 citations) and Pulmonary and Respiratory Medicine (124 citations). T Cullip has collaborated with scholars based in United States and Pakistan. Frequent co-authors include Edward L. Chaney, Julian Rosenman, T. A. Gabriel, Gregg Tracton, Henry Fuchs, Ulrich Neumann, Stephen M. Pizer, Ross Whitaker, T.S. Yoo and Scott L. Sailer. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, IEEE Computer Graphics and Applications, Journal of Forensic Sciences and American Journal of Forensic Medicine & Pathology.

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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