Sara McMains
- Automotive Engineering top 2%
- Mechanical Engineering top 5%
- Industrial and Manufacturing Engineering top 1%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Co-authors
- Adarsh KrishnamurthyBodi YuanCarlo H. SéquinBrian GieraXiaorui ChenGabe GussManyalibo J. MatthewsJ. Karl Hedrick
- Topics
- Manufacturing Process and Optimization (24 papers)Computational Geometry and Mesh Generation (24 papers)3D Shape Modeling and Analysis (22 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignIndustrial and Manufacturing EngineeringAutomotive Engineering
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Sara McMains
78 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 104
- Automotive Engineering 441
- Mechanical Engineering 396
- Industrial and Manufacturing Engineering 369
- Computational Mechanics 303
- Computer Graphics and Computer-Aided Design 244
Countries citing papers authored by Sara McMains
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 20 | |
| 4 | Improving Outcomes and Participation in the Prototyping Process Using Design-for-Additive-Manufacturing Training | 3 |
| 5 | 73 | |
| 6 | 41 | |
| 7 | 15 | |
| 8 | 26 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 34 | |
| 12 | 22 | |
| 13 | Cleanability of Mechanical Components | 7 |
| 14 | 15 | |
| 15 | 5 | |
| 16 | Design and Manufacturing for Cleanability in High Performance Cutting | 8 |
| 17 | 1 | |
| 18 | 22 | |
| 19 | 4 | |
| 20 | 25 |
About Sara McMains
Sara McMains is a scholar working on Computer Graphics and Computer-Aided Design, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (24 papers), Computational Geometry and Mesh Generation (24 papers) and 3D Shape Modeling and Analysis (22 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (244 citations), Industrial and Manufacturing Engineering (369 citations) and Automotive Engineering (441 citations). Sara McMains has collaborated with scholars based in United States, Israel and Germany. Frequent 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. Their work appears in journals such as Nature, Communications of the ACM and ACM Transactions on Graphics.
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.