Alan Demlow

986 total citations
26 papers, 562 citations indexed

About

Alan Demlow is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Alan Demlow has authored 26 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 16 papers in Computational Theory and Mathematics and 15 papers in Mechanics of Materials. Recurrent topics in Alan Demlow's work include Advanced Numerical Methods in Computational Mathematics (25 papers), Advanced Mathematical Modeling in Engineering (16 papers) and Numerical methods in engineering (15 papers). Alan Demlow is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (25 papers), Advanced Mathematical Modeling in Engineering (16 papers) and Numerical methods in engineering (15 papers). Alan Demlow collaborates with scholars based in United States, Netherlands and Ireland. Alan Demlow's co-authors include Gerhard Dziuk, A. H. Schatz, Maxim A. Olshanskii, Rob Stevenson, Charalambos Makridakis, Johnny Guzmán, Anil N. Hirani, Omar Lakkis, Natalia Kopteva and Emmanuil H. Georgoulis and has published in prestigious journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis and Numerische Mathematik.

In The Last Decade

Alan Demlow

26 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan Demlow United States 14 497 311 235 97 93 26 562
Christian Kreuzer Germany 10 543 1.1× 352 1.1× 268 1.1× 146 1.5× 108 1.2× 19 626
Burak Aksoylu United States 12 274 0.6× 103 0.3× 279 1.2× 125 1.3× 60 0.6× 35 439
Gabriel R. Barrenechea United Kingdom 15 780 1.6× 356 1.1× 272 1.2× 117 1.2× 237 2.5× 63 850
Michael Feischl Austria 14 431 0.9× 149 0.5× 321 1.4× 199 2.1× 62 0.7× 39 539
Ahmed Naga United States 6 383 0.8× 123 0.4× 216 0.9× 152 1.6× 42 0.5× 9 419
Benqi Guo Canada 15 381 0.8× 160 0.5× 315 1.3× 108 1.1× 179 1.9× 34 558
Guangwei Yuan China 15 496 1.0× 131 0.4× 76 0.3× 100 1.0× 355 3.8× 80 616
Clemens Pechstein Austria 12 413 0.8× 285 0.9× 232 1.0× 116 1.2× 40 0.4× 23 486
Dietmar Gallistl Germany 12 316 0.6× 186 0.6× 201 0.9× 92 0.9× 60 0.6× 40 359
Kaibo Hu United States 11 318 0.6× 81 0.3× 99 0.4× 53 0.5× 57 0.6× 26 369

Countries citing papers authored by Alan Demlow

Since Specialization
Citations

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

Fields of papers citing papers by Alan Demlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Demlow

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Demlow. A scholar is included among the top collaborators of Alan Demlow 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 Alan Demlow. Alan Demlow 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.
Demlow, Alan & Michael Neilan. (2024). A Tangential and Penalty-Free Finite Element Method for the Surface Stokes Problem. SIAM Journal on Numerical Analysis. 62(1). 248–272. 2 indexed citations
2.
Demlow, Alan, Sebastian Franz, & Natalia Kopteva. (2023). Maximum norm a posteriori error estimates for convection–diffusion problems. IMA Journal of Numerical Analysis. 43(5). 2562–2584. 1 indexed citations
3.
Demlow, Alan & Natalia Kopteva. (2015). Maximum-norm a posteriori error estimates for singularly perturbed elliptic reaction-diffusion problems. Numerische Mathematik. 133(4). 707–742. 19 indexed citations
4.
Demlow, Alan. (2015). Quasi-optimality of adaptive finite element methods for controlling local energy errors. Numerische Mathematik. 134(1). 27–60. 1 indexed citations
5.
Cockburn, Bernardo & Alan Demlow. (2015). Hybridizable discontinuous Galerkin and mixed finite element methods for elliptic problems on surfaces. Mathematics of Computation. 85(302). 2609–2638. 6 indexed citations
6.
Demlow, Alan, et al.. (2014). L2and pointwise a posteriori error estimates for FEM for elliptic PDEs on surfaces. IMA Journal of Numerical Analysis. 35(3). 1199–1227. 18 indexed citations
7.
Demlow, Alan & Anil N. Hirani. (2014). A Posteriori Error Estimates for Finite Element Exterior Calculus: The de Rham Complex. Foundations of Computational Mathematics. 14(6). 1337–1371. 21 indexed citations
8.
Demlow, Alan & Stig Larsson. (2012). Local pointwise a posteriori gradient error bounds for the Stokes equations. Mathematics of Computation. 82(282). 625–649. 4 indexed citations
9.
Demlow, Alan & Emmanuil H. Georgoulis. (2012). Pointwise a Posteriori Error Control for Discontinuous Galerkin Methods for Elliptic Problems. SIAM Journal on Numerical Analysis. 50(5). 2159–2181. 15 indexed citations
10.
Demlow, Alan, Dmitriy Leykekhman, A. H. Schatz, & Lars B. Wahlbin. (2011). Best approximation property in the $W^1_{\infty }$ norm for finite element methods on graded meshes. Mathematics of Computation. 81(278). 743–764. 29 indexed citations
11.
Demlow, Alan & Rob Stevenson. (2010). Convergence and quasi-optimality of an adaptive finite element method for controlling L 2 errors. Numerische Mathematik. 117(2). 185–218. 20 indexed citations
12.
Demlow, Alan & Charalambos Makridakis. (2010). Sharply local pointwise a posteriori error estimates for parabolic problems. Mathematics of Computation. 79(271). 1233–1262. 6 indexed citations
13.
Demlow, Alan. (2010). Convergence of an Adaptive Finite Element Method for Controlling Local Energy Errors. SIAM Journal on Numerical Analysis. 48(2). 470–497. 8 indexed citations
14.
Demlow, Alan. (2007). Sharply localized pointwise and $W_\infty^{-1}$ estimates for finite element methods for quasilinear problems. Mathematics of Computation. 76(260). 1725–1742. 5 indexed citations
15.
Demlow, Alan & Gerhard Dziuk. (2007). An Adaptive Finite Element Method for the Laplace–Beltrami Operator on Implicitly Defined Surfaces. SIAM Journal on Numerical Analysis. 45(1). 421–442. 105 indexed citations
17.
Demlow, Alan. (2006). Local a posteriori estimates for pointwise gradient errors in finite element methods for elliptic problems. Mathematics of Computation. 76(257). 19–43. 13 indexed citations
18.
Demlow, Alan. (2004). Localized pointwise error estimates for mixed finite element methods. Mathematics of Computation. 73(248). 1623–1653. 10 indexed citations
19.
Demlow, Alan. (2003). Piecewise linear finite element methods are not localized. Mathematics of Computation. 73(247). 1195–1202. 7 indexed citations
20.
Demlow, Alan, et al.. (1998). Advantages to Conversion of Lattice Heat Capacity to Cv in the Resolution of Excess Properties The Ln2S3's as an example. Journal of Thermal Analysis and Calorimetry. 52(3). 1055–1062. 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.

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