Emily D. Sanders

439 total citations
10 papers, 343 citations indexed

About

Emily D. Sanders is a scholar working on Civil and Structural Engineering, Automotive Engineering and Mechanics of Materials. According to data from OpenAlex, Emily D. Sanders has authored 10 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Civil and Structural Engineering, 3 papers in Automotive Engineering and 3 papers in Mechanics of Materials. Recurrent topics in Emily D. Sanders's work include Topology Optimization in Engineering (7 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Metamaterials and Metasurfaces Applications (2 papers). Emily D. Sanders is often cited by papers focused on Topology Optimization in Engineering (7 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Metamaterials and Metasurfaces Applications (2 papers). Emily D. Sanders collaborates with scholars based in United States, Brazil and Singapore. Emily D. Sanders's co-authors include Gláucio H. Paulino, Miguel A. Aguiló, Anderson Pereira and David W. Rosen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Science Advances.

In The Last Decade

Emily D. Sanders

9 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily D. Sanders United States 7 243 161 90 77 53 10 343
Panagiotis Vogiatzis United States 4 235 1.0× 128 0.8× 144 1.6× 71 0.9× 36 0.7× 8 351
Wilfredo Montealegre Rubio Brazil 13 178 0.7× 157 1.0× 78 0.9× 56 0.7× 21 0.4× 28 302
Terrence Johnson United States 9 143 0.6× 55 0.3× 110 1.2× 38 0.5× 43 0.8× 18 333
Duane Detwiler United States 12 128 0.5× 139 0.9× 230 2.6× 52 0.7× 26 0.5× 32 361
Bassam El Said United Kingdom 12 153 0.6× 393 2.4× 118 1.3× 22 0.3× 13 0.2× 21 481
M.V. Pathan United Kingdom 9 120 0.5× 280 1.7× 126 1.4× 25 0.3× 40 0.8× 17 412
Su Tian United States 4 107 0.4× 167 1.0× 105 1.2× 18 0.2× 26 0.5× 13 338
Zhoucheng Su Singapore 12 267 1.1× 439 2.7× 188 2.1× 25 0.3× 57 1.1× 33 620
Dmytro Vasiukov France 10 66 0.3× 330 2.0× 117 1.3× 24 0.3× 18 0.3× 24 432
Lucian Iorga United States 6 95 0.4× 299 1.9× 132 1.5× 20 0.3× 34 0.6× 12 449

Countries citing papers authored by Emily D. Sanders

Since Specialization
Citations

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

Fields of papers citing papers by Emily D. Sanders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily D. Sanders. 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 Emily D. Sanders. The network helps show where Emily D. Sanders may publish in the future.

Co-authorship network of co-authors of Emily D. Sanders

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

All Works

10 of 10 papers shown
1.
Sanders, Emily D., et al.. (2025). Unbiased mechanical cloaks. Proceedings of the National Academy of Sciences. 122(19). e2415056122–e2415056122. 2 indexed citations
2.
Sanders, Emily D., et al.. (2025). Topology optimization of additively manufactured continuous fiber-reinforced structures with constraints on fiber path geometry. Structural and Multidisciplinary Optimization. 68(5). 2 indexed citations
4.
Sanders, Emily D., et al.. (2022). Optimally‐Tailored Spinodal Architected Materials for Multiscale Design and Manufacturing. Advanced Materials. 34(26). e2109304–e2109304. 74 indexed citations
5.
Sanders, Emily D., Miguel A. Aguiló, & Gláucio H. Paulino. (2021). Optimized lattice-based metamaterials for elastostatic cloaking. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 477(2253). 20210418–20210418. 10 indexed citations
6.
Sanders, Emily D., Anderson Pereira, & Gláucio H. Paulino. (2021). Optimal and continuous multilattice embedding. Science Advances. 7(16). 83 indexed citations
7.
Sanders, Emily D., et al.. (2020). Topology optimization of tension-only cable nets under finite deformations. Structural and Multidisciplinary Optimization. 62(2). 559–579. 10 indexed citations
8.
Sanders, Emily D., Anderson Pereira, Miguel A. Aguiló, & Gláucio H. Paulino. (2018). PolyMat: an efficient Matlab code for multi-material topology optimization. Structural and Multidisciplinary Optimization. 58(6). 2727–2759. 64 indexed citations
9.
Sanders, Emily D., Miguel A. Aguiló, & Gláucio H. Paulino. (2018). Multi-material continuum topology optimization with arbitrary volume and mass constraints. Computer Methods in Applied Mechanics and Engineering. 340. 798–823. 85 indexed citations
10.
Sanders, Emily D., et al.. (2017). A maximum filter for the ground structure method: An optimization tool to harness multiple structural designs. Engineering Structures. 151. 235–252. 13 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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