Travis McPhail
Impact in
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- Computer Graphics and Visualization Techniques
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- Medical Image Segmentation Techniques
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Face recognition and analysis
Papers in
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- Advanced Radiotherapy Techniques 2
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- Computer Graphics and Visualization Techniques 1
- Co-authors
- Joe D. Warren (3 shared papers)Scott Schaefer (1 shared paper)Amit Kumar Garg (2 shared papers)Thomas M. Guerrero (2 shared papers)Richard Castillo (2 shared papers)Rudy Guerra (1 shared paper)Valen E. Johnson (1 shared paper)Edward M. Castillo (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)International Journal for Numerical Methods in Fluids (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Physics in Medicine and Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Travis McPhail
4 papers receiving 1.1k citations
Travis McPhail's Hit Papers
Peers
Comparison fields: 5 of 71
- Computer Graphics and Computer-Aided Design 169
- Computer Vision and Pattern Recognition 605
- Radiation 214
- Computational Mechanics 205
- Structural Biology 17
Countries citing papers authored by Travis McPhail
This map shows the geographic impact of Travis McPhail'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 Travis McPhail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis McPhail more than expected).
Fields of papers citing papers by Travis McPhail
This network shows the impact of papers produced by Travis McPhail. 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 Travis McPhail. The network helps show where Travis McPhail may publish in the future.
Co-authors
The 12 scholars most cited alongside Travis McPhail, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Image deformation using moving least squares Hit paper breakdown → | 2006 | 539 |
| 2 | A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets Hit paper breakdown → | 2009 | 472 |
| 3 | 2010 | 75 | |
| 4 | 2008 | 2 |
About Travis McPhail
Travis McPhail is a scholar working on Radiation, Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition and Neurology, having authored 4 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (2 papers), Intracranial Aneurysms: Treatment and Complications (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper), Elasticity and Material Modeling (1 paper), Advanced Vision and Imaging (1 paper), 3D Shape Modeling and Analysis (1 paper), Computer Graphics and Visualization Techniques (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (169 citations), Computer Vision and Pattern Recognition (605 citations), Radiation (214 citations), Computational Mechanics (205 citations) and Structural Biology (17 citations). Travis McPhail has collaborated with scholars based in United States. Frequent co-authors include Joe D. Warren, Scott Schaefer, Amit Kumar Garg, Thomas M. Guerrero, Richard Castillo, Rudy Guerra, Valen E. Johnson, Edward M. Castillo, Peng Roc Chen and Kenji TAKIZAWA. Their work appears in journals such as ACM Transactions on Graphics, International Journal for Numerical Methods in Fluids, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.
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.