Travis McPhail

1.5k total citations · 1 hit paper
5 papers, 1.1k citations indexed

About

Travis McPhail is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Neurology. According to data from OpenAlex, Travis McPhail has authored 5 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Biomedical Engineering and 1 paper in Neurology. Recurrent topics in Travis McPhail's work include Medical Image Segmentation Techniques (3 papers), Advanced Vision and Imaging (2 papers) and Medical Imaging and Analysis (1 paper). Travis McPhail is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Advanced Vision and Imaging (2 papers) and Medical Imaging and Analysis (1 paper). Travis McPhail collaborates with scholars based in United States. Travis McPhail's co-authors include Joe Warren, Scott Schaefer, Edward Castillo, Amit Garg, Rudy Guerra, Richard Castillo, Valen E. Johnson, Thomas Guerrero, S. Wright and Tayfun E. Tezduyar and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, ACM Transactions on Graphics and Physics in Medicine and Biology.

In The Last Decade

Travis McPhail

5 papers receiving 1.0k citations

Hit Papers

Image deformation using moving least squares 2006 2026 2012 2019 2006 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Image deformation using moving least squares
    2006 475 citations Scott Schaefer, Travis McPhail et al. ACM Transactions on Graphics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis McPhail United States 4 608 324 246 170 142 5 1.1k
Mark Foskey United States 12 421 0.7× 152 0.5× 184 0.7× 127 0.7× 165 1.2× 30 736
Yasuhito Suenaga Japan 20 870 1.4× 252 0.8× 166 0.7× 46 0.3× 166 1.2× 113 1.4k
Attila Kuba Hungary 16 880 1.4× 549 1.7× 118 0.5× 58 0.3× 141 1.0× 69 1.2k
Jon Sporring Denmark 16 399 0.7× 212 0.7× 99 0.4× 26 0.2× 95 0.7× 77 940
H. Siegfried Stiehl Germany 14 690 1.1× 246 0.8× 161 0.7× 37 0.2× 243 1.7× 50 990
Haili Chui United States 10 1.5k 2.5× 216 0.7× 404 1.6× 49 0.3× 192 1.4× 12 2.0k
Yuping Duan China 17 470 0.8× 179 0.6× 191 0.8× 44 0.3× 141 1.0× 81 1.0k
Xiaohu Guo United States 18 241 0.4× 109 0.3× 531 2.2× 62 0.4× 56 0.4× 73 952
Petra A. van den Elsen United States 14 816 1.3× 395 1.2× 70 0.3× 48 0.3× 167 1.2× 28 1.1k
Jaejun Yoo South Korea 10 1.3k 2.2× 384 1.2× 132 0.5× 32 0.2× 230 1.6× 39 1.9k

Countries citing papers authored by Travis McPhail

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Travis McPhail

This figure shows the co-authorship network connecting the top 25 collaborators of Travis McPhail. A scholar is included among the top collaborators of Travis McPhail 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 Travis McPhail. Travis McPhail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Takizawa, Kenji, Creighton Moorman, S. Wright, et al.. (2010). Patient‐specific arterial fluid–structure interaction modeling of cerebral aneurysms. International Journal for Numerical Methods in Fluids. 65(1-3). 308–323. 69 indexed citations
2.
Castillo, Richard, Edward Castillo, Rudy Guerra, et al.. (2009). A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets. Physics in Medicine and Biology. 54(7). 1849–1870. 407 indexed citations
3.
Castillo, Richard, Travis McPhail, Rui Guerra, et al.. (2008). Interior Landmarks Improve Deformable Image Registration Spatial Accuracy in the Lung. International Journal of Radiation Oncology*Biology*Physics. 72(1). S452–S452. 2 indexed citations
4.
Schaefer, Scott, Travis McPhail, & Joe Warren. (2006). Image deformation using moving least squares. ACM Transactions on Graphics. 25(3). 533–540. 475 indexed citations breakdown →
5.
Schaefer, Scott, Travis McPhail, & Joe Warren. (2006). Image deformation using moving least squares. 533–533. 107 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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2026