Andrew T. Barker

745 total citations · 1 hit paper
19 papers, 485 citations indexed

About

Andrew T. Barker is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Andrew T. Barker has authored 19 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 14 papers in Computational Theory and Mathematics and 5 papers in Mechanics of Materials. Recurrent topics in Andrew T. Barker's work include Advanced Numerical Methods in Computational Mathematics (14 papers), Matrix Theory and Algorithms (10 papers) and Electromagnetic Simulation and Numerical Methods (4 papers). Andrew T. Barker is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (14 papers), Matrix Theory and Algorithms (10 papers) and Electromagnetic Simulation and Numerical Methods (4 papers). Andrew T. Barker collaborates with scholars based in United States, Germany and Saudi Arabia. Andrew T. Barker's co-authors include Xiao‐Chuan Cai, Tzanio Kolev, Veselin Dobrev, Jakub Červený, Jean‐Sylvain Camier, Mark Stowell, David Medina, Yohann Dudouit, Johann Dahm and Aaron Fisher and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Computer Physics Communications.

In The Last Decade

Andrew T. Barker

17 papers receiving 457 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.

MFEM: A modular finite element methods library

2020 273 citations Robert Anderson, Julian Andrej et al. Computers & Mathematics with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew T. Barker United States	8	295	129	90	82	53	19	485
Jakub Červený United States	5	244 0.8×	78 0.6×	143 1.6×	105 1.3×	59 1.1×	6	458
Will Pazner United States	11	389 1.3×	127 1.0×	100 1.1×	64 0.8×	55 1.0×	28	572
Vladimir Tomov United States	10	355 1.2×	85 0.7×	82 0.9×	51 0.6×	55 1.0×	24	544
Jamie Bramwell United States	4	181 0.6×	81 0.6×	88 1.0×	68 0.8×	43 0.8×	4	334
Marc Fehling United States	6	228 0.8×	68 0.5×	66 0.7×	132 1.6×	22 0.4×	10	493
Jean‐Sylvain Camier United States	7	213 0.7×	96 0.7×	79 0.9×	40 0.5×	53 1.0×	11	392
Kristian B. Ølgaard United Kingdom	3	181 0.6×	66 0.5×	59 0.7×	83 1.0×	19 0.4×	5	444
Suzanne M. Shontz United States	13	331 1.1×	92 0.7×	47 0.5×	42 0.5×	94 1.8×	35	639
Mark Stowell United States	7	149 0.5×	76 0.6×	128 1.4×	46 0.6×	64 1.2×	17	403
Jason Kurtz United States	8	306 1.0×	128 1.0×	214 2.4×	189 2.3×	117 2.2×	14	552

Countries citing papers authored by Andrew T. Barker

Since Specialization

Citations

This map shows the geographic impact of Andrew T. Barker'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 T. Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew T. Barker more than expected).

Fields of papers citing papers by Andrew T. Barker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew T. Barker

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

All Works

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19 of 19 papers shown

Barker, Andrew T., Jun Kudo, James P. Lewicki, et al.. (2020). Simultaneous material, shape and topology optimization. Computer Methods in Applied Mechanics and Engineering. 371. 113321–113321. 16 indexed citations

Barker, Andrew T., et al.. (2020). Algebraic multigrid preconditioning of the Hessian in optimization constrained by a partial differential equation. Numerical Linear Algebra with Applications. 28(1).

Barker, Andrew T. & Tzanio Kolev. (2020). Matrix‐free preconditioning for high‐orderH(curl) discretizations. Numerical Linear Algebra with Applications. 28(2). 3 indexed citations

Anderson, Robert, Julian Andrej, Andrew T. Barker, et al.. (2020). MFEM: A modular finite element methods library. Computers & Mathematics with Applications. 81. 42–74. 273 indexed citations breakdown →

Nourgaliev, Robert, et al.. (2019). Preconditioning a Newton-Krylov solver for all-speed melt pool flow physics. Journal of Computational Physics. 397. 108847–108847. 4 indexed citations

Barker, Andrew T., Chak Shing Lee, & Panayot S. Vassilevski. (2017). Spectral Upscaling for Graph Laplacian Problems with Application to Reservoir Simulation. SIAM Journal on Scientific Computing. 39(5). S323–S346. 7 indexed citations

Marques, Osni, et al.. (2016). Tuning the Coarse Space Construction in a Spectral AMG Solver 1. Procedia Computer Science. 80. 212–221. 2 indexed citations

Barker, Andrew T., Tyrone Rees, & Martin Stoll. (2016). A Fast Solver for anH₁Regularized PDE-Constrained Optimization Problem. Communications in Computational Physics. 19(1). 143–167. 6 indexed citations

Barker, Andrew T., et al.. (2015). Accurate Coarse-Scale AMG-Based Finite Volume Reservoir Simulations in Highly Heterogeneous Media. 3 indexed citations

10.

Barker, Andrew T. & Martin Stoll. (2015). Domain decomposition in time for PDE-constrained optimization. Computer Physics Communications. 197. 136–143. 11 indexed citations

11.

Dios, Blanca Ayuso de, Andrew T. Barker, & Panayot S. Vassilevski. (2014). A Combined Preconditioning Strategy for Nonsymmetric Systems. SIAM Journal on Scientific Computing. 36(6). A2533–A2556. 3 indexed citations

12.

Barker, Andrew T.. (2013). A minimal communication approach to parallel time integration. International Journal of Computer Mathematics. 91(3). 601–615. 3 indexed citations

13.

Barker, Andrew T. & Susanne C. Brenner. (2013). A Mixed Finite Element Method for the Stokes Equations Based on a Weakly Over-Penalized Symmetric Interior Penalty Approach. Journal of Scientific Computing. 58(2). 290–307. 13 indexed citations

14.

Barker, Andrew T., Susanne C. Brenner, & Li-yeng Sung. (2011). Overlapping Schwarz domain decomposition preconditioners for the local discontinuous Galerkin method for elliptic problems. Journal of Numerical Mathematics. 19(3). 9 indexed citations

15.

Barker, Andrew T., et al.. (2011). A BDDC Preconditioner for aWeakly Over-Penalized Symmetric Interior Penalty Method. 6(2). 171–174. 1 indexed citations

16.

Barker, Andrew T., et al.. (2010). Two-Level Additive Schwarz Preconditioners for a Weakly Over-Penalized Symmetric Interior Penalty Method. Journal of Scientific Computing. 47(1). 27–49. 19 indexed citations

17.

Barker, Andrew T. & Xiao‐Chuan Cai. (2010). Two-Level Newton and Hybrid Schwarz Preconditioners for Fluid-Structure Interaction. SIAM Journal on Scientific Computing. 32(4). 2395–2417. 25 indexed citations

18.

Barker, Andrew T.. (2009). Evolutionary Stability in the Traveler's Dilemma. College Mathematics Journal. 40(1). 33–38. 2 indexed citations

19.

Barker, Andrew T. & Xiao‐Chuan Cai. (2009). Scalable parallel methods for monolithic coupling in fluid–structure interaction with application to blood flow modeling. Journal of Computational Physics. 229(3). 642–659. 85 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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