Tim McGraw

564 citations
34 papers · 349 · h-index 8

Impact in

Papers in

Tim McGraw

28 papers receiving 336 citations

Peers

Tim McGraw
Comparison fields: 5 of 72
  • Computational Mathematics 55
  • Radiology, Nuclear Medicine and Imaging 200
  • Computer Vision and Pattern Recognition 96
  • Computer Graphics and Computer-Aided Design 13
  • Human-Computer Interaction 13
Replace H. Ertan Çetingül with:
H. Ertan Çetingül United States
Ashley Tarokh United States
Ritwik Kumar United States
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Steffen Oeltze‐Jafra Germany
Ali Hojjatoleslami United Kingdom
Salman Ul Hassan Dar Türkiye
Yehui Yang China
Donghuan Lu China
Steven McDonagh United Kingdom
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Citations per field
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H. Ertan Çetingül · 1×
Citations per year

Countries citing papers authored by Tim McGraw

Since Specialization
Citations

This map shows the geographic impact of Tim McGraw'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 Tim McGraw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim McGraw more than expected).

Fields of papers citing papers by Tim McGraw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200462
2 200257
3 199145
4 200640
5 200728
6 201522
7 200921
8 201414
9 20177
10 20247
11 20036
12
4th order diffusion tensor interpolation with divergence and curl constrained Bézier patches
20095
13 20115
14 20175
15 20154
16 20163
17 20072
18 20072
19 20092
20 20172

About Tim McGraw

Tim McGraw is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 34 papers that have together received 349 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (10 papers), Computer Graphics and Visualization Techniques (7 papers), 3D Shape Modeling and Analysis (5 papers), Advanced MRI Techniques and Applications (4 papers), Medical Image Segmentation Techniques (4 papers), Interactive and Immersive Displays (3 papers), Advanced Numerical Analysis Techniques (3 papers) and Data Visualization and Analytics (3 papers). The work is most often cited by research in Computational Mathematics (55 citations), Radiology, Nuclear Medicine and Imaging (200 citations), Computer Vision and Pattern Recognition (96 citations), Computer Graphics and Computer-Aided Design (13 citations) and Human-Computer Interaction (13 citations). Tim McGraw has collaborated with scholars based in United States and China. Frequent co-authors include Thomas H. Mareci, Baba C. Vemuri, M. Rao, Mariappan S. Nadar, Yun Chen, Cristina R. Ferrone, Bronislaw Pytowski, Jonathan Arzt, Yu Chen and Ziyang Wang. Their work appears in journals such as International Journal of Technology Enhanced Learning, Computers & Graphics, Optics Express, IEEE Transactions on Visualization and Computer Graphics and The Visual Computer.

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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