S. Langdon

1.5k total citations
36 papers, 687 citations indexed

About

S. Langdon is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Mechanics of Materials. According to data from OpenAlex, S. Langdon has authored 36 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 13 papers in Electrical and Electronic Engineering and 12 papers in Mechanics of Materials. Recurrent topics in S. Langdon's work include Electromagnetic Scattering and Analysis (17 papers), Electromagnetic Simulation and Numerical Methods (13 papers) and Numerical methods in engineering (12 papers). S. Langdon is often cited by papers focused on Electromagnetic Scattering and Analysis (17 papers), Electromagnetic Simulation and Numerical Methods (13 papers) and Numerical methods in engineering (12 papers). S. Langdon collaborates with scholars based in United Kingdom, Australia and Italy. S. Langdon's co-authors include Simon N. Chandler‐Wilde, Ivan G. Graham, Euan A. Spence, David P. Hewett, Marko Lindner, John W. Barrett, Timo Betcke, M. J. Baines, Jens Markus Melenk and James F. Blowey and has published in prestigious journals such as Journal of Fluid Mechanics, International Journal for Numerical Methods in Engineering and SIAM Journal on Numerical Analysis.

In The Last Decade

S. Langdon

31 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Langdon United Kingdom 14 377 293 278 174 159 36 687
Aihua Wood United States 16 460 1.2× 180 0.6× 416 1.5× 143 0.8× 74 0.5× 49 816
Andreas Rathsfeld Germany 14 208 0.6× 149 0.5× 191 0.7× 126 0.7× 210 1.3× 59 627
Thanh Tran Australia 14 177 0.5× 385 1.3× 145 0.5× 118 0.7× 300 1.9× 73 818
Lehel Banjai Germany 14 317 0.8× 332 1.1× 347 1.2× 70 0.4× 132 0.8× 33 610
Anne-Sophie Bonnet-Ben Dhia France 12 206 0.5× 160 0.5× 207 0.7× 208 1.2× 154 1.0× 34 537
Christophe Hazard France 15 187 0.5× 273 0.9× 281 1.0× 158 0.9× 210 1.3× 33 631
Weiying Zheng China 17 242 0.6× 258 0.9× 406 1.5× 63 0.4× 456 2.9× 64 765
Johannes Elschner Germany 22 457 1.2× 357 1.2× 217 0.8× 570 3.3× 173 1.1× 85 1.1k
Andrea Moiola Italy 14 133 0.4× 330 1.1× 333 1.2× 101 0.6× 370 2.3× 36 615
П. А. Крутицкий Russia 15 199 0.5× 190 0.6× 134 0.5× 231 1.3× 559 3.5× 148 1.2k

Countries citing papers authored by S. Langdon

Since Specialization
Citations

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

Fields of papers citing papers by S. Langdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Langdon

This figure shows the co-authorship network connecting the top 25 collaborators of S. Langdon. A scholar is included among the top collaborators of S. Langdon 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 S. Langdon. S. Langdon 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.
Langdon, S., et al.. (2024). An Efficient Frequency-Independent Numerical Method for Computing the Far-Field Pattern Induced by Polygonal Obstacles. SIAM Journal on Scientific Computing. 46(4). A2324–A2350.
2.
3.
Chandler‐Wilde, Simon N., et al.. (2020). A high-frequency boundary element method for scattering by a class of multiple obstacles. IMA Journal of Numerical Analysis. 41(2). 1197–1239. 3 indexed citations
4.
Hewett, David P., et al.. (2017). A hybrid numerical–asymptotic boundary element method for high frequency scattering by penetrable convex polygons. Wave Motion. 78. 32–53. 10 indexed citations
5.
Baines, M. J., et al.. (2015). A finite difference moving mesh method based on conservation for moving boundary problems. Journal of Computational and Applied Mathematics. 288. 1–17. 26 indexed citations
6.
Langdon, S., et al.. (2013). The unsteady flow of a weakly compressible fluid in a thin porous layer III: Three-dimensional computations. The Quarterly Journal of Mechanics and Applied Mathematics. 66(1). 123–155.
7.
Baines, M. J., et al.. (2013). A moving mesh approach for modelling avascular tumour growth. Applied Numerical Mathematics. 72. 99–114. 7 indexed citations
8.
Hewett, David P., et al.. (2013). Hybrid numerical-asymptotic approximation for high-frequency scattering by penetrable convex polygons. IMA Journal of Applied Mathematics. 80(2). 324–353. 19 indexed citations
9.
Hewett, David P., S. Langdon, & Jens Markus Melenk. (2013). A High Frequency $hp$ Boundary Element Method for Scattering by Convex Polygons. SIAM Journal on Numerical Analysis. 51(1). 629–653. 20 indexed citations
10.
Chandler‐Wilde, Simon N., et al.. (2011). A High Frequency Boundary Element Method for Scattering by Convex Polygons with Impedance Boundary Conditions. Communications in Computational Physics. 11(2). 573–593. 16 indexed citations
11.
Langdon, S., et al.. (2009). High frequency scattering by convex curvilinear polygons. Journal of Computational and Applied Mathematics. 234(6). 2020–2026. 10 indexed citations
12.
Chandler‐Wilde, Simon N., Ivan G. Graham, S. Langdon, & Marko Lindner. (2009). Condition number estimates for combined potential boundary integral operators in acoustic scattering. Journal of Integral Equations and Applications. 21(2). 46 indexed citations
13.
Langdon, S.. (2009). Sumerian Liturgies and Psalms. Medical Entomology and Zoology. 1 indexed citations
14.
Chandler‐Wilde, Simon N. & S. Langdon. (2007). A Galerkin Boundary Element Method for High Frequency Scattering by Convex Polygons. SIAM Journal on Numerical Analysis. 45(2). 610–640. 72 indexed citations
15.
Ganesh, M., S. Langdon, & Ian H. Sloan. (2006). Efficient evaluation of highly oscillatory acoustic scattering surface integrals. Journal of Computational and Applied Mathematics. 204(2). 363–374. 10 indexed citations
16.
Chandler‐Wilde, Simon N., et al.. (2006). A collocation method for high-frequency scattering by convex polygons. Journal of Computational and Applied Mathematics. 204(2). 334–343. 15 indexed citations
17.
Barrett, John W., et al.. (2004). Finite element approximation of a sixth order nonlinear degenerate parabolic equation. Numerische Mathematik. 96(3). 401–434. 60 indexed citations
18.
Chandler‐Wilde, Simon N., et al.. (2004). A high–wavenumber boundary–element method for an acoustic scattering problem. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 362(1816). 647–671. 27 indexed citations
19.
Langdon, S. & Simon N. Chandler‐Wilde. (2003). A Galerkin boundary element method for an acoustic scattering problem with convergence rate independent of frequency. 3 indexed citations
20.
Langdon, S.. (2001). Boundary integral methods for singularly perturbed boundary value problems. IMA Journal of Numerical Analysis. 21(1). 217–237. 5 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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