Sara Pollock

635 total citations
30 papers, 392 citations indexed

About

Sara Pollock is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Sara Pollock has authored 30 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 18 papers in Computational Theory and Mathematics and 10 papers in Numerical Analysis. Recurrent topics in Sara Pollock's work include Advanced Numerical Methods in Computational Mathematics (17 papers), Advanced Mathematical Modeling in Engineering (11 papers) and Numerical methods for differential equations (7 papers). Sara Pollock is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (17 papers), Advanced Mathematical Modeling in Engineering (11 papers) and Numerical methods for differential equations (7 papers). Sara Pollock collaborates with scholars based in United States, Hong Kong and Sweden. Sara Pollock's co-authors include Leo G. Rebholz, Evangelos A. Coutsias, Mengying Xiao, Michael J. Wester, Tudor I. Oprea, Michael Holst, Katrina W. Lexa, Matthew P. Jacobson, Shawn Martin and Jean-Paul Watson and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Sara Pollock

26 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Pollock United States 9 203 137 136 72 50 30 392
Markus Bachmayr Germany 10 91 0.4× 17 0.1× 97 0.7× 37 0.5× 96 1.9× 23 360
Jari Taskinen Finland 15 206 1.0× 16 0.1× 26 0.2× 39 0.5× 28 0.6× 102 796
Serkan Aracı Türkiye 20 44 0.2× 10 0.1× 21 0.2× 213 3.0× 23 0.5× 180 1.5k
Robert Altmann Germany 11 86 0.4× 8 0.1× 122 0.9× 46 0.6× 7 0.1× 36 339
Jussi Väısälä Finland 25 318 1.6× 48 0.4× 63 0.5× 37 0.5× 16 0.3× 79 2.8k
E. M. de Jager Netherlands 8 104 0.5× 25 0.2× 56 0.4× 169 2.3× 4 0.1× 15 289
James Brannick United States 10 220 1.1× 6 0.0× 191 1.4× 39 0.5× 14 0.3× 24 404
Christian Pommerenke Germany 19 200 1.0× 12 0.1× 39 0.3× 49 0.7× 40 0.8× 60 2.6k
Th. Zimmermann Switzerland 14 47 0.2× 20 0.1× 102 0.8× 21 0.3× 34 0.7× 28 647
Sergio Falcón Spain 12 146 0.7× 188 1.4× 32 0.2× 11 0.2× 56 1.1× 37 771

Countries citing papers authored by Sara Pollock

Since Specialization
Citations

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

Fields of papers citing papers by Sara Pollock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Pollock

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Pollock. A scholar is included among the top collaborators of Sara Pollock 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 Sara Pollock. Sara Pollock 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.
Pollock, Sara, Leo G. Rebholz, Xuemin Tu, & Mengying Xiao. (2025). Analysis of the Picard-Newton Iteration for the Navier-Stokes Equations: Global Stability and Quadratic Convergence. Journal of Scientific Computing. 104(1). 2 indexed citations
2.
Austin, Christian D., et al.. (2024). Dynamically accelerating the power iteration with momentum. Numerical Linear Algebra with Applications. 31(6).
3.
4.
Pollock, Sara & L. Ridgway Scott. (2024). Computational analysis of a contraction rheometer for the grade-two fluid model. 2(3). 271–294. 1 indexed citations
5.
Pollock, Sara & Leo G. Rebholz. (2023). Filtering for Anderson Acceleration. SIAM Journal on Scientific Computing. 45(4). A1571–A1590. 8 indexed citations
6.
Pollock, Sara, et al.. (2023). Anderson acceleration for a regularized Bingham model. Numerical Methods for Partial Differential Equations. 39(5). 3874–3896. 2 indexed citations
7.
Cao, Xin, Evangelos A. Coutsias, & Sara Pollock. (2023). Numerically stable solution to the 6R problem of Inverse Kinematics. PubMed. 1(2). 123–161. 2 indexed citations
8.
Pollock, Sara, et al.. (2023). Newton-Anderson at Singular Points. 20(5). 667–692. 2 indexed citations
9.
Pollock, Sara & L. Ridgway Scott. (2022). An algorithm for the grade-two rheological model. ESAIM. Mathematical modelling and numerical analysis. 56(3). 1007–1025. 4 indexed citations
10.
Scott, L. Ridgway & Sara Pollock. (2022). Transport equations with inflow boundary conditions. Partial Differential Equations and Applications. 3(3). 2 indexed citations
11.
Pollock, Sara, et al.. (2020). A Proof That Anderson Acceleration Improves the Convergence Rate in Linearly Converging Fixed-Point Methods (But Not in Those Converging Quadratically). SIAM Journal on Numerical Analysis. 58(1). 788–810. 68 indexed citations
12.
Pollock, Sara & Yunrong Zhu. (2020). Discrete comparison principles for quasilinear elliptic PDE. Applied Numerical Mathematics. 156. 106–124.
13.
Pollock, Sara, Leo G. Rebholz, & Mengying Xiao. (2020). Acceleration of nonlinear solvers for natural convection problems. Journal of Numerical Mathematics. 29(4). 323–341. 8 indexed citations
14.
Chung, Eric T., et al.. (2019). Online basis construction for goal-oriented adaptivity in the generalized multiscale finite element method. Journal of Computational Physics. 393. 59–73. 3 indexed citations
15.
Pollock, Sara, et al.. (2018). A proof that Anderson acceleration increases the convergence rate in linearly converging fixed point methods (but not in quadratically converging ones). 5 indexed citations
16.
Chung, Eric T., et al.. (2017). Goal-oriented adaptivity of mixed GMsFEM for flows in heterogeneous media. Computer Methods in Applied Mechanics and Engineering. 323. 151–173. 6 indexed citations
17.
Pollock, Sara. (2016). Stabilized and inexact adaptive methods for capturing internal layers in quasilinear PDE. Journal of Computational and Applied Mathematics. 308. 243–262. 4 indexed citations
18.
Chung, Eric T., Wing Tat Leung, & Sara Pollock. (2015). Goal-oriented adaptivity for GMsFEM. Journal of Computational and Applied Mathematics. 296. 625–637. 13 indexed citations
19.
Holst, Michael, Sara Pollock, & Yunrong Zhu. (2015). Convergence of goal-oriented adaptive finite element methods for semilinear problems. Computing and Visualization in Science. 17(1). 43–63. 15 indexed citations
20.
Pollock, Sara. (2012). Convergence of Goal-Oriented Adaptive Finite Element Methods. eScholarship (California Digital Library). 2 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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