Scott MacLachlan

79 papers receiving 1.2k citations

Peers

Scott MacLachlan
Comparison fields: 5 of 73
  • Numerical Analysis 339
  • Computational Mathematics 32
  • Computational Mechanics 926
  • Computational Theory and Mathematics 649
  • Statistical and Nonlinear Physics 102
Replace J. Ruge with:
J. Ruge United States
P. Sonneveld Netherlands
Jianlin Xia United States
Ludmil Zikatanov United States
Marian Brezina United States
Barry Smith United States
Harry Yserentant Germany
I. S. Duff France
Yvan Notay Belgium
Jörg Liesen Germany
Scott MacLachlan relative to J. Ruge United States J. Ruge's profile →
Citations per field
00.5×3.8×
J. Ruge · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Scott MacLachlan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott MacLachlan Line = papers co-authored together Scott MacLachlan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014152
2 200699
3 200597
4 200475
5 201143
6 201737
7 201636
8 200935
9 200829
10 201029
11 200629
12 200628
13 200927
14 200627
15 201726
16 200724
17 201024
18 201923
19 201123
20 201722

About Scott MacLachlan

Scott MacLachlan is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Numerical Analysis, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (59 papers), Matrix Theory and Algorithms (27 papers), Numerical methods for differential equations (24 papers), Electromagnetic Simulation and Numerical Methods (20 papers), Electromagnetic Scattering and Analysis (10 papers), Computational Fluid Dynamics and Aerodynamics (10 papers), Advanced Mathematical Modeling in Engineering (8 papers) and Numerical methods in engineering (6 papers). The work is most often cited by research in Numerical Analysis (339 citations), Computational Mathematics (32 citations), Computational Mechanics (926 citations), Computational Theory and Mathematics (649 citations) and Statistical and Nonlinear Physics (102 citations). Scott MacLachlan has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Robert D. Falgout, Thomas A. Manteuffel, Marian Brezina, J. Ruge, Cornelis W. Oosterlee, Jacob B. Schroder, Steve McCormick, Stephanie Friedhoff, Tzanio Kolev and James H. Adler. Their work appears in journals such as SIAM Journal on Scientific Computing, Numerical Linear Algebra with Applications, Journal of Computational Physics, Journal of Heat Transfer and SIAM Journal on Matrix Analysis and Applications.

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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