Scott MacLachlan

2.2k total citations
85 papers, 1.4k citations indexed

About

Scott MacLachlan is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Scott MacLachlan has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computational Mechanics, 33 papers in Computational Theory and Mathematics and 28 papers in Numerical Analysis. Recurrent topics in Scott MacLachlan's work include Advanced Numerical Methods in Computational Mathematics (59 papers), Matrix Theory and Algorithms (27 papers) and Numerical methods for differential equations (24 papers). Scott MacLachlan is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (59 papers), Matrix Theory and Algorithms (27 papers) and Numerical methods for differential equations (24 papers). Scott MacLachlan collaborates with scholars based in Canada, United States and United Kingdom. Scott MacLachlan's co-authors include Robert D. Falgout, Thomas A. Manteuffel, J. Ruge, Marian Brezina, Cornelis W. Oosterlee, Jacob B. Schroder, Steve McCormick, Stephanie Friedhoff, Tzanio Kolev and James H. Adler and has published in prestigious journals such as Physical Review Letters, Journal of Fluid Mechanics and Water Resources Research.

In The Last Decade

Scott MacLachlan

79 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott MacLachlan Canada 22 926 649 339 280 188 85 1.4k
Roger P. Pawlowski United States 22 835 0.9× 411 0.6× 237 0.7× 276 1.0× 165 0.9× 68 1.8k
Barry Smith United States 22 919 1.0× 488 0.8× 196 0.6× 267 1.0× 128 0.7× 69 1.6k
Ray Tuminaro United States 15 984 1.1× 610 0.9× 273 0.8× 222 0.8× 207 1.1× 32 1.6k
Robert Scheichl United Kingdom 25 1.0k 1.1× 867 1.3× 360 1.1× 248 0.9× 163 0.9× 85 2.1k
Jonathan Joseph Hu United States 14 690 0.7× 415 0.6× 147 0.4× 245 0.9× 176 0.9× 31 1.3k
Ulrike Meier Yang United States 19 848 0.9× 633 1.0× 179 0.5× 180 0.6× 170 0.9× 39 1.5k
J. Ruge United States 23 1.1k 1.2× 793 1.2× 266 0.8× 301 1.1× 193 1.0× 55 1.5k
Jianlin Xia United States 21 479 0.5× 729 1.1× 385 1.1× 414 1.5× 632 3.4× 73 1.5k
Klaus Stüben Germany 13 806 0.9× 504 0.8× 189 0.6× 129 0.5× 112 0.6× 22 1.2k
I. S. Duff France 15 439 0.5× 652 1.0× 247 0.7× 373 1.3× 295 1.6× 27 1.4k

Countries citing papers authored by Scott MacLachlan

Since Specialization
Citations

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

Fields of papers citing papers by Scott MacLachlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott MacLachlan

This figure shows the co-authorship network connecting the top 25 collaborators of Scott MacLachlan. A scholar is included among the top collaborators of Scott MacLachlan 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 Scott MacLachlan. Scott MacLachlan 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.
MacLachlan, Scott, et al.. (2025). Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations. SIAM Journal on Scientific Computing. 47(1). A343–A373.
2.
Sterck, Hans De, et al.. (2024). Multigrid Reduction‐In‐Time Convergence for Advection Problems: A Fourier Analysis Perspective. Numerical Linear Algebra with Applications. 32(1). 1 indexed citations
3.
Olson, Luke N., et al.. (2024). Exploiting mesh structure to improve multigrid performance for saddle-point problems. The International Journal of High Performance Computing Applications. 39(2). 211–229.
4.
MacLachlan, Scott, et al.. (2023). Monolithic multigrid for implicit Runge–Kutta discretizations of incompressible fluid flow. Journal of Computational Physics. 478. 111961–111961. 5 indexed citations
5.
MacLachlan, Scott, et al.. (2022). A Boundary-Layer Preconditioner for Singularly Perturbed Convection Diffusion. SIAM Journal on Matrix Analysis and Applications. 43(2). 561–583.
6.
MacLachlan, Scott, et al.. (2021). Structural Landscapes in Geometrically Frustrated Smectics. Physical Review Letters. 126(17). 177801–177801. 21 indexed citations
7.
Sterck, Hans De, et al.. (2021). Optimizing multigrid reduction‐in‐time and Parareal coarse‐grid operators for linear advection. Numerical Linear Algebra with Applications. 28(4). 14 indexed citations
8.
Bihlo, Alexander, et al.. (2021). Selective decay for the rotating shallow-water equations with a structure-preserving discretization. arXiv (Cornell University). 2 indexed citations
9.
Jahandari, Hormoz, Scott MacLachlan, Ronald D. Haynes, & Niall Madden. (2020). Finite element modelling of geophysical electromagnetic data with goal-oriented hr-adaptivity. Computational Geosciences. 24(3). 1257–1283.
10.
He, Yunhui & Scott MacLachlan. (2019). Local Fourier analysis for mixed finite-element methods for the Stokes equations. Journal of Computational and Applied Mathematics. 357. 161–183. 9 indexed citations
11.
Adler, James H., Yunhui He, Xiaozhe Hu, & Scott MacLachlan. (2018). Vector-potential finite-element formulations for two-dimensional resistive magnetohydrodynamics. Computers & Mathematics with Applications. 77(2). 476–493. 4 indexed citations
12.
Farrell, Patrick E., et al.. (2017). Computing equilibrium states of cholesteric liquid crystals in elliptical channels with deflation algorithms. Liquid Crystals. 45(3). 341–350. 8 indexed citations
13.
Farquharson, Colin G., et al.. (2017). A gauged finite-element potential formulation for accurate inductive and galvanic modelling of 3-D electromagnetic problems. Geophysical Journal International. 210(1). 105–129. 37 indexed citations
14.
Falgout, Robert D., Stephanie Friedhoff, Tzanio Kolev, Scott MacLachlan, & Jacob B. Schroder. (2014). Parallel Time Integration with Multigrid. SIAM Journal on Scientific Computing. 36(6). C635–C661. 152 indexed citations
15.
MacLachlan, Scott, Daniel Osei-Kuffuor, & Yousef Saad. (2012). Modification and Compensation Strategies for Threshold-based Incomplete Factorizations. SIAM Journal on Scientific Computing. 34(1). A48–A75. 8 indexed citations
16.
Brannick, James, Andreas Frommer, Karsten Kahl, Scott MacLachlan, & Ludmil Zikatanov. (2010). Adaptive reduction-based multigrid for nearly singular and highly disordered physical systems. ETNA - Electronic Transactions on Numerical Analysis. 37. 276–295. 7 indexed citations
17.
Tang, Jinyu, Scott MacLachlan, Reinhard Nabben, & C. Vuik. (2008). Theoretical Comparison of Two-Level Preconditioners based on Multigrid and Deflation. Data Archiving and Networked Services (DANS). 3 indexed citations
18.
Brezina, Marian, Robert D. Falgout, Scott MacLachlan, et al.. (2006). Adaptive Algebraic Multigrid. SIAM Journal on Scientific Computing. 27(4). 1261–1286. 99 indexed citations
19.
Brezina, Marian, Robert D. Falgout, Scott MacLachlan, et al.. (2005). Adaptive Smoothed Aggregation ($\alpha$SA) Multigrid. SIAM Review. 47(2). 317–346. 97 indexed citations
20.
Brezina, Marian, Robert D. Falgout, Scott MacLachlan, et al.. (2004). Adaptive Algebraic Multigrid Methods. University of North Texas Digital Library (University of North Texas). 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Roger P. Pawlowski Breakdown of academic impact, for papers by Barry Smith Breakdown of academic impact, for papers by Ray Tuminaro Breakdown of academic impact, for papers by Robert Scheichl Breakdown of academic impact, for papers by Jonathan Joseph Hu Breakdown of academic impact, for papers by Ulrike Meier Yang Breakdown of academic impact, for papers by J. Ruge Breakdown of academic impact, for papers by Jianlin Xia Breakdown of academic impact, for papers by Klaus Stüben Breakdown of academic impact, for papers by I. S. Duff
Rankless by CCL
2026