Travis McPhail
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
Papers in
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- Medical Image Segmentation Techniques 3
- Advanced Vision and Imaging 2
- Optical measurement and interference techniques 1
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- Elasticity and Material Modeling 1
- Co-authors
- Joe Warren (4 shared papers)Scott Schaefer (2 shared papers)Thomas Guerrero (2 shared papers)Richard Castillo (2 shared papers)Amit Garg (2 shared papers)Edward Castillo (1 shared paper)Rudy Guerra (1 shared paper)Valen E. Johnson (1 shared paper)
- Journals
- Physics in Medicine and Biology (1 paper)ACM Transactions on Graphics (1 paper)International Journal for Numerical Methods in Fluids (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- United States
In The Last Decade
Travis McPhail
5 papers receiving 1.1k citations
Travis McPhail's Hit Papers
Peers
Comparison fields: 5 of 95
- Computer Graphics and Computer-Aided Design 142
- Computer Vision and Pattern Recognition 582
- Radiation 144
- Computational Mechanics 245
- Radiology, Nuclear Medicine and Imaging 224
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 14 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 | 477 |
| 2 | 2009 | 415 | |
| 3 | 2006 | 107 | |
| 4 | 2010 | 70 | |
| 5 | 2008 | 2 |
About Travis McPhail
Travis McPhail is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Neurology, Pulmonary and Respiratory Medicine and Computational Mechanics, having authored 5 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), Advanced Vision and Imaging (2 papers), Intracranial Aneurysms: Treatment and Complications (1 paper), Elasticity and Material Modeling (1 paper), Optical measurement and interference techniques (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (142 citations), Computer Vision and Pattern Recognition (582 citations), Radiation (144 citations), Computational Mechanics (245 citations) and Radiology, Nuclear Medicine and Imaging (224 citations). Travis McPhail has collaborated with scholars based in United States. Frequent co-authors include Joe Warren, Scott Schaefer, Thomas Guerrero, Richard Castillo, Amit Garg, Edward Castillo, Rudy Guerra, Valen E. Johnson, Creighton Moorman and Peng Roc Chen. Their work appears in journals such as Physics in Medicine and Biology, ACM Transactions on Graphics, International Journal for Numerical Methods in Fluids and International Journal of Radiation Oncology*Biology*Physics.
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.