Sara McMains

1.8k total citations
78 papers, 1.4k citations indexed

About

Sara McMains is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Sara McMains has authored 78 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Graphics and Computer-Aided Design, 31 papers in Computational Mechanics and 29 papers in Industrial and Manufacturing Engineering. Recurrent topics in Sara McMains's work include Manufacturing Process and Optimization (24 papers), Computational Geometry and Mesh Generation (24 papers) and 3D Shape Modeling and Analysis (22 papers). Sara McMains is often cited by papers focused on Manufacturing Process and Optimization (24 papers), Computational Geometry and Mesh Generation (24 papers) and 3D Shape Modeling and Analysis (22 papers). Sara McMains collaborates with scholars based in United States, Israel and Germany. Sara McMains's co-authors include Adarsh Krishnamurthy, Bodi Yuan, Carlo H. Séquin, Brian Giera, Xiaorui Chen, Gabe Guss, Manyalibo J. Matthews, J. Karl Hedrick, Xiang Li and Hari Balakrishnan and has published in prestigious journals such as Nature, Communications of the ACM and ACM Transactions on Graphics.

In The Last Decade

Sara McMains

78 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara McMains United States 21 441 396 369 303 244 78 1.4k
Weiming Wang China 18 441 1.0× 260 0.7× 262 0.7× 260 0.9× 150 0.6× 118 1.6k
Kai Yu Hong Kong 24 441 1.0× 777 2.0× 509 1.4× 222 0.7× 75 0.3× 119 1.7k
Mark Price United Kingdom 26 124 0.3× 1.1k 2.8× 471 1.3× 305 1.0× 243 1.0× 138 2.5k
Heping Chen United States 25 154 0.3× 663 1.7× 493 1.3× 219 0.7× 65 0.3× 188 2.1k
F. Kimura Japan 25 219 0.5× 983 2.5× 561 1.5× 329 1.1× 159 0.7× 92 2.0k
Matthew M. F. Yuen Hong Kong 24 149 0.3× 174 0.4× 172 0.5× 784 2.6× 504 2.1× 70 1.8k
Shuming Gao China 19 133 0.3× 306 0.8× 607 1.6× 671 2.2× 380 1.6× 99 1.4k
Juntong Xi China 24 632 1.4× 660 1.7× 610 1.7× 213 0.7× 29 0.1× 125 2.1k
Krishnan Suresh United States 27 619 1.4× 611 1.5× 623 1.7× 426 1.4× 155 0.6× 112 2.7k
S.T. Tan Hong Kong 18 442 1.0× 354 0.9× 585 1.6× 418 1.4× 205 0.8× 72 1.2k

Countries citing papers authored by Sara McMains

Since Specialization
Citations

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

Fields of papers citing papers by Sara McMains

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara McMains

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

All Works

20 of 20 papers shown
1.
McMains, Sara, et al.. (2024). Exploring the impact of design tool usage on design for additive manufacturing processes and outcomes. Design Science. 10. 5 indexed citations
2.
Li, Xiang, et al.. (2023). Deep reinforcement learning for stacking sequence optimization of composite laminates. Manufacturing Letters. 35. 1203–1213. 2 indexed citations
3.
McMains, Sara, et al.. (2021). Will it print: a manufacturability toolbox for 3D printing. International Journal on Interactive Design and Manufacturing (IJIDeM). 15(4). 613–630. 20 indexed citations
4.
McMains, Sara, et al.. (2020). Improving Outcomes and Participation in the Prototyping Process Using Design-for-Additive-Manufacturing Training. International journal of engineering education. 36(4). 3 indexed citations
5.
Oh, Myoung Hwan, Min Gee Cho, Dong Young Chung, et al.. (2020). Design and synthesis of multigrain nanocrystals via geometric misfit strain. Nature. 577(7790). 359–363. 73 indexed citations
6.
Yuan, Bodi, Brian Giera, Gabe Guss, Manyalibo J. Matthews, & Sara McMains. (2019). Semi-Supervised Convolutional Neural Networks for In-Situ Video Monitoring of Selective Laser Melting. 744–753. 41 indexed citations
7.
Li, Xiang, Adarsh Krishnamurthy, Iddo Hanniel, & Sara McMains. (2019). Edge topology construction of Voronoi diagrams of spheres in non-general position. Computers & Graphics. 82. 332–342. 15 indexed citations
8.
Yuan, Bodi, et al.. (2018). Iterative Cross Learning on Noisy Labels. 757–765. 26 indexed citations
9.
McMains, Sara, et al.. (2012). Filling trim cracks on GPU-rendered solid models. Computer-Aided Design. 45(2). 535–539. 5 indexed citations
10.
Krishnamurthy, Adarsh, et al.. (2011). GPU-Accelerated Minimum Distance and Clearance Queries. IEEE Transactions on Visualization and Computer Graphics. 17(6). 729–742. 14 indexed citations
11.
Grosse, Ian R., et al.. (2009). Introducing New Associate Editors. Journal of Computing and Information Science in Engineering. 9(3). 30201–30201. 34 indexed citations
12.
Krishnamurthy, Adarsh, et al.. (2009). Performing Efficient NURBS Modeling Operations on the GPU. IEEE Transactions on Visualization and Computer Graphics. 15(4). 530–543. 22 indexed citations
13.
Arbelaez, D., et al.. (2008). Cleanability of Mechanical Components. eScholarship (California Digital Library). 7 indexed citations
14.
McMains, Sara & Peter‐Pike Sloan. (2007). ACM SIGGRAPH 2007 courses. 43(6). 1190–1199. 15 indexed citations
15.
McMains, Sara, et al.. (2006). Haptic Force Shading Parameter Effects on Path Tracing Accuracy. 78. 5 indexed citations
16.
Dornfeld, David, et al.. (2006). Design and Manufacturing for Cleanability in High Performance Cutting. eScholarship (California Digital Library). 8 indexed citations
17.
McMains, Sara, et al.. (2005). Layered manufacturing as a graphics display device. 1–1. 1 indexed citations
18.
McMains, Sara, et al.. (2004). Evaluation of drawing on 3D surfaces with haptics. IEEE Computer Graphics and Applications. 24(6). 40–50. 22 indexed citations
19.
McMains, Sara, et al.. (2003). Thin-Wall Calculation for Layered Manufacturing. Journal of Computing and Information Science in Engineering. 3(3). 210–218. 4 indexed citations
20.
McMains, Sara & Carlo H. Séquin. (1999). A coherent sweep plane slicer for layered manufacturing. 285–295. 25 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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