Andrew Gillman

1.6k total citations · 1 hit paper
43 papers, 1.2k citations indexed

About

Andrew Gillman is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Biomedical Engineering. According to data from OpenAlex, Andrew Gillman has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanical Engineering, 16 papers in Civil and Structural Engineering and 11 papers in Biomedical Engineering. Recurrent topics in Andrew Gillman's work include Advanced Materials and Mechanics (16 papers), Structural Analysis and Optimization (9 papers) and Advanced Sensor and Energy Harvesting Materials (8 papers). Andrew Gillman is often cited by papers focused on Advanced Materials and Mechanics (16 papers), Structural Analysis and Optimization (9 papers) and Advanced Sensor and Energy Harvesting Materials (8 papers). Andrew Gillman collaborates with scholars based in United States, Netherlands and United Kingdom. Andrew Gillman's co-authors include Philip R. Buskohl, Karel Matouš, V.G. Kouznetsova, M.G.D. Geers, Richard A. Vaia, Kazuko Fuchi, Jordan R. Raney, Hiromi Yasuda, Todd D. Murphey and Susan Stepney and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Andrew Gillman

43 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials

2016 386 citations Karel Matouš, M.G.D. Geers et al. Journal of Computational Physics profile →

Peers

Andrew Gillman

ME

MM

BE

CSE

MC

Ikumu Watanabe Japan

Wenlong Tian China

Gih‐Keong Lau Singapore

Masato Tanaka Japan

Wen‐Hwa Chen Taiwan

Yongbo Deng China

M. Ranjbar Singapore

Philip R. Buskohl United States

Micky Rakotondrabe France

Nicola Luigi Rizzi Italy

Ikumu Watanabe Japan

Andrew Gillman

930 ×1.7

ME

555 ×1.5

MM

336 ×1.0

BE

205 ×0.8

CSE

498 ×2.9

MC

Citations per year, relative to Andrew Gillman Andrew Gillman (= 1×) peers Ikumu Watanabe

Countries citing papers authored by Andrew Gillman

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Gillman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Gillman

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

All Works

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20 of 20 papers shown

1.

Thomson, John W., et al.. (2025). Optomechanical reservoir computing. Proceedings of the National Academy of Sciences. 122(29). e2424991122–e2424991122. 1 indexed citations

2.

Donegan, Sean, James O. Hardin, Eric Meyers, et al.. (2024). Wearable high-density EMG sleeve for complex hand gesture classification and continuous joint angle estimation. Scientific Reports. 14(1). 18564–18564. 10 indexed citations

3.

Vincent, Timothy A., et al.. (2024). Spectral Analysis of Mechanical Reservoir Computing With ReLU Spring Networks. 2 indexed citations

4.

Chen, Yiming, et al.. (2024). Topology-Agnostic Graph U-Nets for Scalar Field Prediction on Unstructured Meshes. Journal of Mechanical Design. 147(4). 1 indexed citations

5.

Vincent, Timothy A., et al.. (2023). Open-Cavity Fluid Flow as an Information Processing Medium. AIAA SCITECH 2023 Forum. 4 indexed citations

6.

Gillman, Andrew, et al.. (2022). Multistability, symmetry and geometric conservation in eightfold waterbomb origami. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 478(2268). 14 indexed citations

7.

Yasuda, Hiromi, Philip R. Buskohl, Andrew Gillman, et al.. (2021). Mechanical computing. Nature. 598(7879). 39–48. 184 indexed citations

8.

Meenakshisundaram, V., Andrew Gillman, Alexander Cook, et al.. (2021). Mapping geometric and electromagnetic feature spaces with machine learning for additively manufactured RF devices. Additive manufacturing. 50. 102549–102549. 2 indexed citations

9.

Chen, Vincent W., Carson L. Willey, Andrew Gillman, et al.. (2021). Bayesian Optimization of Equilibrium States in Elastomeric Beams. Journal of Mechanical Design. 143(11). 4 indexed citations

10.

Schwalbach, Edwin J., et al.. (2021). The Ensemble Kalman Filter as a tool for estimating temperatures in the powder bed fusion process. 4369–4375. 4 indexed citations

11.

Meenakshisundaram, V., et al.. (2020). Insights into capacitance variance mechanisms via a machine learning-biased evolutionary approach. Materials & Design. 199. 109394–109394. 1 indexed citations

12.

Cook, Alexander, et al.. (2019). Origami-Inspired Frequency Selective Surface with Fixed Frequency Response under Folding. Sensors. 19(21). 4808–4808. 14 indexed citations

13.

Jiao, Yang, Andrew Gillman, Ming-Siao Hsiao, et al.. (2018). Deformation Behavior of Polystyrene-Grafted Nanoparticle Assemblies with Low Grafting Density. Macromolecules. 51(18). 7257–7265. 44 indexed citations

14.

Gillman, Andrew, Kazuko Fuchi, & Philip R. Buskohl. (2018). Truss-based nonlinear mechanical analysis for origami structures exhibiting bifurcation and limit point instabilities. International Journal of Solids and Structures. 147. 80–93. 70 indexed citations

15.

Fuchi, Kazuko, et al.. (2017). Frequency tuning through physical reconfiguration of a corrugated origami frequency selective surface. 411–412. 2 indexed citations

16.

Shuck, Christopher E., Andrew Gillman, I. Emre Gunduz, et al.. (2016). X-ray nanotomography and focused-ion-beam sectioning for quantitative three-dimensional analysis of nanocomposites. Journal of Synchrotron Radiation. 23(4). 990–996. 18 indexed citations

17.

Matouš, Karel, M.G.D. Geers, V.G. Kouznetsova, & Andrew Gillman. (2016). A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials. Journal of Computational Physics. 330. 192–220. 386 indexed citations breakdown →

18.

Gillman, Andrew, G. Amádio, Karel Matouš, & T. L. Jackson. (2015). Third-order thermo-mechanical properties for packs of Platonic solids using statistical micromechanics. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 471(2177). 20150060–20150060. 20 indexed citations

19.

Gillman, Andrew & Karel Matouš. (2014). Third-order model of thermal conductivity for random polydisperse particulate materials using well-resolved statistical descriptions from tomography. Physics Letters A. 378(41). 3070–3073. 18 indexed citations

20.

Gillman, Andrew, Karel Matouš, & Steven Atkinson. (2013). Microstructure-statistics-property relations of anisotropic polydisperse particulate composites using tomography. Physical Review E. 87(2). 22208–22208. 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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