Will Pazner

969 total citations · 1 hit paper
28 papers, 572 citations indexed

About

Will Pazner is a scholar working on Computational Mechanics, Numerical Analysis and Electrical and Electronic Engineering. According to data from OpenAlex, Will Pazner has authored 28 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Mechanics, 11 papers in Numerical Analysis and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Will Pazner's work include Advanced Numerical Methods in Computational Mathematics (24 papers), Numerical methods for differential equations (10 papers) and Electromagnetic Simulation and Numerical Methods (9 papers). Will Pazner is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (24 papers), Numerical methods for differential equations (10 papers) and Electromagnetic Simulation and Numerical Methods (9 papers). Will Pazner collaborates with scholars based in United States, Germany and Australia. Will Pazner's co-authors include Per‐Olof Persson, Tzanio Kolev, Jean‐Sylvain Camier, Per Olof Persson, Julian Andrej, Yohann Dudouit, Vladimir Tomov, Veselin Dobrev, David Medina and Mark Stowell and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Will Pazner

27 papers receiving 555 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
Will Pazner United States	11	389	127	124	100	64	28	572
Vladimir Tomov United States	10	355 0.9×	85 0.7×	65 0.5×	82 0.8×	51 0.8×	24	544
Katharina Kormann Germany	11	328 0.8×	92 0.7×	92 0.7×	175 1.8×	71 1.1×	39	639
Eric C. Cyr United States	14	407 1.0×	124 1.0×	92 0.7×	112 1.1×	67 1.0×	42	683
Andrew T. Barker United States	8	295 0.8×	129 1.0×	47 0.4×	90 0.9×	82 1.3×	19	485
Chohong Min South Korea	17	897 2.3×	152 1.2×	74 0.6×	104 1.0×	129 2.0×	43	1.2k
Jean‐Sylvain Camier United States	7	213 0.5×	96 0.8×	51 0.4×	79 0.8×	40 0.6×	11	392
Veselin Dobrev United States	15	697 1.8×	188 1.5×	120 1.0×	128 1.3×	99 1.5×	29	1.0k
Stefano Zampini Saudi Arabia	18	502 1.3×	253 2.0×	74 0.6×	189 1.9×	174 2.7×	33	883
Jakub Červený United States	5	244 0.6×	78 0.6×	36 0.3×	143 1.4×	105 1.6×	6	458
Artem Napov Belgium	9	255 0.7×	260 2.0×	71 0.6×	98 1.0×	37 0.6×	24	467

Countries citing papers authored by Will Pazner

Since Specialization

Citations

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

Fields of papers citing papers by Will Pazner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will Pazner

This figure shows the co-authorship network connecting the top 25 collaborators of Will Pazner. A scholar is included among the top collaborators of Will Pazner 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 Will Pazner. Will Pazner 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

Andrej, Julian, Jean‐Sylvain Camier, Veselin Dobrev, et al.. (2024). High-performance finite elements with MFEM. The International Journal of High Performance Computing Applications. 8 indexed citations

Fu, Guosheng, Stanley Osher, Will Pazner, & Wuchen Li. (2024). Generalized optimal transport and mean field control problems for reaction-diffusion systems with high-order finite element computation. Journal of Computational Physics. 508. 112994–112994. 3 indexed citations

Fu, Guosheng, Hangjie Ji, Will Pazner, & Wuchen Li. (2024). Mean field control of droplet dynamics with high-order finite-element computations. Journal of Fluid Mechanics. 999. 1 indexed citations

Pazner, Will, Tzanio Kolev, & Jean‐Sylvain Camier. (2023). End-to-end GPU acceleration of low-order-refined preconditioning for high-order finite element discretizations. The International Journal of High Performance Computing Applications. 37(5). 578–599. 3 indexed citations

Pazner, Will, Tzanio Kolev, & Clark R. Dohrmann. (2023). Low-Order Preconditioning for the High-Order Finite Element de Rham Complex. SIAM Journal on Scientific Computing. 45(2). A675–A702. 11 indexed citations

Pazner, Will, et al.. (2022). A family of independent Variable Eddington Factor methods with efficient preconditioned iterative solvers. Journal of Computational Physics. 473. 111747–111747. 8 indexed citations

Rueda-Ramírez, Andrés M., Will Pazner, & Gregor J. Gassner. (2022). Subcell limiting strategies for discontinuous Galerkin spectral element methods. Computers & Fluids. 247. 105627–105627. 30 indexed citations

Southworth, Ben S., et al.. (2022). Fast Solution of Fully Implicit Runge--Kutta and Discontinuous Galerkin in Time for Numerical PDEs, Part I: the Linear Setting. SIAM Journal on Scientific Computing. 44(1). A416–A443. 14 indexed citations

Southworth, Ben S., et al.. (2022). Fast Solution of Fully Implicit Runge--Kutta and Discontinuous Galerkin in Time for Numerical PDEs, Part II: Nonlinearities and DAEs. SIAM Journal on Scientific Computing. 44(2). A636–A663. 10 indexed citations

10.

Brown, Jed, Ahmad Abdelfattah, Jean‐Sylvain Camier, et al.. (2021). libCEED: Fast algebra for high-order element-based discretizations. The Journal of Open Source Software. 6(63). 2945–2945. 10 indexed citations

11.

Pazner, Will. (2021). Sparse invariant domain preserving discontinuous Galerkin methods with subcell convex limiting. Computer Methods in Applied Mechanics and Engineering. 382. 113876–113876. 30 indexed citations

12.

Huang, Daniel Zhengyu, Will Pazner, Per‐Olof Persson, & Matthew J. Zahr. (2020). High-order partitioned spectral deferred correction solvers for multiphysics problems. Journal of Computational Physics. 412. 109441–109441. 9 indexed citations

13.

Pazner, Will & Tzanio Kolev. (2020). Uniform subspace correction preconditioners for discontinuous Galerkin methods with $hp$-refinement. arXiv (Cornell University). 8 indexed citations

14.

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 →

15.

Pazner, Will, Nathaniel Trask, & Paul J. Atzberger. (2019). Stochastic Discontinuous Galerkin Methods (SDGM) based on fluctuation-dissipation balance. Results in Applied Mathematics. 4. 100068–100068. 3 indexed citations

16.

Pazner, Will, et al.. (2019). High-order wall-resolved large eddy simulation of transonic buffet on the OAT15A airfoil. AIAA Scitech 2019 Forum. 10 indexed citations

17.

Pazner, Will & Per‐Olof Persson. (2018). Interior penalty tensor-product preconditioners for high-order discontinuous Galerkin discretizations. 2018 AIAA Aerospace Sciences Meeting. 3 indexed citations

18.

Pazner, Will & Per‐Olof Persson. (2017). High-Order DNS and LES Simulations Using an Implicit Tensor-Product Discontinuous Galerkin Method. 4 indexed citations

19.

Pazner, Will & Per‐Olof Persson. (2017). Approximate tensor-product preconditioners for very high order discontinuous Galerkin methods. Journal of Computational Physics. 354. 344–369. 36 indexed citations

20.

Pazner, Will & Per Olof Persson. (2017). Stage-parallel fully implicit Runge–Kutta solvers for discontinuous Galerkin fluid simulations. Journal of Computational Physics. 335. 700–717. 42 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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