Andrew Gillette

429 total citations
21 papers, 247 citations indexed

About

Andrew Gillette is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Andrew Gillette has authored 21 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 5 papers in Computational Theory and Mathematics and 4 papers in Mechanics of Materials. Recurrent topics in Andrew Gillette's work include Advanced Numerical Methods in Computational Mathematics (10 papers), Computational Geometry and Mesh Generation (4 papers) and Numerical methods in engineering (4 papers). Andrew Gillette is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (10 papers), Computational Geometry and Mesh Generation (4 papers) and Numerical methods in engineering (4 papers). Andrew Gillette collaborates with scholars based in United States, United Kingdom and Norway. Andrew Gillette's co-authors include Chandrajit Bajaj, Peter M. Kekenes–Huskey, J. Andrew McCammon, Johan Hake, Snorre H. Christiansen, Andrew D. McCulloch, Samrat Goswami, Yongjie Zhang, Simone Pezzuto and Shuo Zhang and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Computational Physics and Biophysical Journal.

In The Last Decade

Andrew Gillette

20 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Gillette United States 10 133 80 50 40 36 21 247
Wenjun Ying China 12 180 1.4× 112 1.4× 116 2.3× 61 1.5× 25 0.7× 49 396
Tomáš Vejchodský Czechia 12 187 1.4× 83 1.0× 49 1.0× 111 2.8× 80 2.2× 35 332
Kaibo Hu United States 11 318 2.4× 99 1.2× 53 1.1× 81 2.0× 6 0.2× 26 369
Alan Demlow United States 14 497 3.7× 235 2.9× 97 1.9× 311 7.8× 9 0.3× 26 562
Edgar Garduño Mexico 8 50 0.4× 10 0.1× 10 0.2× 38 0.9× 27 0.8× 27 249
E.N. Aksan Türkiye 8 131 1.0× 108 1.4× 25 0.5× 16 0.4× 11 0.3× 14 446
Salîm Yüce Türkiye 10 57 0.4× 8 0.1× 6 0.1× 47 1.2× 11 0.3× 61 328
W. L. Edge United Kingdom 11 25 0.2× 15 0.2× 47 0.9× 64 1.6× 10 0.3× 57 405
Zheng Ma United States 8 13 0.1× 21 0.3× 15 0.3× 27 0.7× 9 0.3× 14 214
Hirofumi Notsu Japan 11 154 1.2× 33 0.4× 40 0.8× 43 1.1× 32 255

Countries citing papers authored by Andrew Gillette

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Gillette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Gillette

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Gillette. A scholar is included among the top collaborators of Andrew Gillette 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 Gillette. Andrew Gillette 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.
Gillette, Andrew, et al.. (2025). Leveraging interpolation models and error bounds for verifiable scientific machine learning. Journal of Computational Physics. 524. 113726–113726. 2 indexed citations
2.
Gillette, Andrew & Eugene Kur. (2024). Algorithm 1049: The Delaunay Density Diagnostic. ACM Transactions on Mathematical Software. 50(4). 1–21. 1 indexed citations
3.
Wang, Jingyi, et al.. (2024). A multifidelity Bayesian optimization method for inertial confinement fusion design. Physics of Plasmas. 31(3). 4 indexed citations
4.
Gillette, Andrew, et al.. (2024). Learning Robust Marking Policies for Adaptive Mesh Refinement. SIAM Journal on Scientific Computing. 46(1). A264–A289. 1 indexed citations
5.
Ham, David A., et al.. (2022). Bringing Trimmed Serendipity Methods to Computational Practice in Firedrake. ACM Transactions on Mathematical Software. 48(1). 1–19. 5 indexed citations
6.
Levine, Joshua A., et al.. (2019). Extending Discrete Exterior Calculus to a Fractional Derivative. Computer-Aided Design. 114. 64–72. 2 indexed citations
7.
Gillette, Andrew, Kaibo Hu, & Shuo Zhang. (2019). Nonstandard finite element de Rham complexes on cubical meshes. BIT Numerical Mathematics. 60(2). 373–409. 5 indexed citations
8.
Gillette, Andrew, et al.. (2017). Finite Element Exterior Calculus for Evolution Problems. Journal of Computational Mathematics. 35(2). 187–212. 6 indexed citations
9.
Gillette, Andrew, et al.. (2016). Construction of Scalar and Vector Finite Element Families on Polygonal and Polyhedral Meshes. Computational Methods in Applied Mathematics. 16(4). 667–683. 25 indexed citations
10.
Vincent, Kevin P., Andrew Gillette, Christopher Villongco, et al.. (2015). High-order finite element methods for cardiac monodomain simulations. Frontiers in Physiology. 6. 217–217. 18 indexed citations
11.
Botsch, Mario, Falai Chen, & Andrew Gillette. (2015). Geometric modeling and processing 2015. Computer Aided Geometric Design. 35-36. 1–1.
12.
Gillette, Andrew, et al.. (2014). Quadratic serendipity finite elements on polygons using generalized barycentric coordinates. Mathematics of Computation. 83(290). 2691–2716. 60 indexed citations
13.
Kekenes–Huskey, Peter M., Andrew Gillette, & J. Andrew McCammon. (2014). Predicting the influence of long-range molecular interactions on macroscopic-scale diffusion by homogenization of the Smoluchowski equation. The Journal of Chemical Physics. 140(17). 174106–174106. 11 indexed citations
14.
Kekenes–Huskey, Peter M., Tao Liao, Andrew Gillette, et al.. (2013). Molecular and Subcellular-Scale Modeling of Nucleotide Diffusion in the Cardiac Myofilament Lattice. Biophysical Journal. 105(9). 2130–2140. 19 indexed citations
15.
Kekenes–Huskey, Peter M., Andrew Gillette, Johan Hake, & J. Andrew McCammon. (2012). Finite-element estimation of protein–ligand association rates with post-encounter effects: applications to calcium binding in troponin C and SERCA. PubMed. 5(1). 14015–14015. 17 indexed citations
16.
Gillette, Andrew, et al.. (2012). Interpolation error estimates for mean value coordinates over convex polygons. Advances in Computational Mathematics. 39(2). 327–347. 24 indexed citations
17.
Gillette, Andrew & Chandrajit Bajaj. (2011). Dual formulations of mixed finite element methods with applications. Computer-Aided Design. 43(10). 1213–1221. 20 indexed citations
18.
Gillette, Andrew & Chandrajit Bajaj. (2010). A generalization for stable mixed finite elements. 41–50. 5 indexed citations
19.
Bajaj, Chandrajit, Andrew Gillette, & Samrat Goswami. (2009). Topology Based Selection and Curation of Level Sets. PubMed. 2009. 45–58. 10 indexed citations
20.
Bajaj, Chandrajit, Andrew Gillette, & Qin Zhang. (2009). Stable mesh decimation. 277–282. 1 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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