Andreas Klöckner

1.6k total citations · 1 hit paper
20 papers, 914 citations indexed

About

Andreas Klöckner is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Mechanics of Materials. According to data from OpenAlex, Andreas Klöckner has authored 20 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 10 papers in Atomic and Molecular Physics, and Optics and 5 papers in Mechanics of Materials. Recurrent topics in Andreas Klöckner's work include Electromagnetic Simulation and Numerical Methods (11 papers), Electromagnetic Scattering and Analysis (10 papers) and Numerical methods in engineering (5 papers). Andreas Klöckner is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (11 papers), Electromagnetic Scattering and Analysis (10 papers) and Numerical methods in engineering (5 papers). Andreas Klöckner collaborates with scholars based in United States, India and United Kingdom. Andreas Klöckner's co-authors include Bryan Catanzaro, Ahmed R. Fasih, Yunsup Lee, Nicolas Pinto, Paul Ivanov, Jan S. Hesthaven, Tim Warburton, Leslie Greengard, Michael O’Neil and Charles L. Epstein and has published in prestigious journals such as Journal of Computational Physics, SIAM Journal on Numerical Analysis and SIAM Journal on Scientific Computing.

In The Last Decade

Andreas Klöckner

19 papers receiving 850 citations

Hit Papers

PyCUDA and PyOpenCL: A scripting-based approach to GPU ru... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Klöckner United States 9 280 240 223 139 125 20 914
Rio Yokota Japan 16 208 0.7× 195 0.8× 288 1.3× 134 1.0× 42 0.3× 65 816
A. McKenney United States 9 186 0.7× 156 0.7× 141 0.6× 145 1.0× 110 0.9× 16 958
Lorena A. Barba United States 17 163 0.6× 262 1.1× 229 1.0× 42 0.3× 62 0.5× 64 875
E. D’Azevedo United States 27 198 0.7× 446 1.9× 291 1.3× 164 1.2× 100 0.8× 70 1.7k
Heidi Thornquist United States 10 167 0.6× 419 1.7× 108 0.5× 228 1.6× 83 0.7× 17 1.0k
Garry Rodrigue United States 18 309 1.1× 394 1.6× 272 1.2× 94 0.7× 87 0.7× 56 1.0k
James Willenbring United States 5 119 0.4× 302 1.3× 76 0.3× 160 1.2× 81 0.6× 14 782
Jonathan Joseph Hu United States 14 245 0.9× 690 2.9× 176 0.8× 311 2.2× 144 1.2× 31 1.3k
David M. Beazley United States 14 69 0.2× 121 0.5× 88 0.4× 180 1.3× 159 1.3× 36 1.1k
K. Stanley United States 7 169 0.6× 309 1.3× 142 0.6× 433 3.1× 81 0.6× 11 1.2k

Countries citing papers authored by Andreas Klöckner

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Klöckner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Klöckner

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Klöckner. A scholar is included among the top collaborators of Andreas Klöckner 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 Andreas Klöckner. Andreas Klöckner 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.
Klöckner, Andreas, et al.. (2023). Integral equation methods for the Morse-Ingard equations. Journal of Computational Physics. 492. 112416–112416.
2.
Kirby, Robert C., et al.. (2021). Finite Elements for Helmholtz Equations with a Nonlocal Boundary Condition. SIAM Journal on Scientific Computing. 43(3). A1671–A1691. 3 indexed citations
3.
Barba, Lorena A., Andreas Klöckner, Prabhu Ramachandran, & R. C. Thomas. (2021). Scientific Computing With Python on High-Performance Heterogeneous Systems. Computing in Science & Engineering. 23(4). 5–7. 4 indexed citations
4.
Jiang, Shidong, et al.. (2020). An integral equation method for the Cahn-Hilliard equation in the wetting problem. Journal of Computational Physics. 419. 109521–109521. 3 indexed citations
5.
Ryham, Rolf, et al.. (2020). Simulation of Multiscale Hydrophobic Lipid Dynamics via Efficient Integral Equation Methods. Multiscale Modeling and Simulation. 18(1). 79–103. 4 indexed citations
6.
Klöckner, Andreas, et al.. (2019). Optimization of fast algorithms for global Quadrature by Expansion using target-specific expansions. Journal of Computational Physics. 403. 108976–108976. 8 indexed citations
7.
Klöckner, Andreas, et al.. (2019). Multi-rate time integration on overset meshes. Journal of Computational Physics. 396. 325–346. 7 indexed citations
8.
Klöckner, Andreas, et al.. (2019). A fast algorithm for Quadrature by Expansion in three dimensions. Journal of Computational Physics. 388. 655–689. 17 indexed citations
9.
Klöckner, Andreas, et al.. (2018). High-order finite element–integral equation coupling on embedded meshes. Journal of Computational Physics. 375. 1295–1313. 1 indexed citations
10.
Klöckner, Andreas, et al.. (2018). A fast algorithm with error bounds for Quadrature by Expansion. Journal of Computational Physics. 374. 135–162. 12 indexed citations
11.
Klöckner, Andreas, et al.. (2018). Conformal Mapping via a Density Correspondence for the Double-Layer Potential. SIAM Journal on Scientific Computing. 40(6). A3715–A3732. 4 indexed citations
12.
Rachh, Manas, Andreas Klöckner, & Michael O’Neil. (2017). Fast algorithms for Quadrature by Expansion I: Globally valid expansions. Journal of Computational Physics. 345. 706–731. 19 indexed citations
13.
Klöckner, Andreas, et al.. (2016). Autonomes Missionsmanagement für unbemannte solarbetriebene Flugzeuge mit extrem langer Flugdauer. elib (German Aerospace Center). 3 indexed citations
14.
Ilott, Andrew J., S. Chandrashekar, Andreas Klöckner, et al.. (2014). Visualizing skin effects in conductors with MRI: 7Li MRI experiments and calculations. Journal of Magnetic Resonance. 245. 143–149. 56 indexed citations
15.
Klöckner, Andreas, et al.. (2013). Quadrature by expansion: A new method for the evaluation of layer potentials. Journal of Computational Physics. 252. 332–349. 119 indexed citations
16.
Epstein, Charles L., Leslie Greengard, & Andreas Klöckner. (2013). On the Convergence of Local Expansions of Layer Potentials. SIAM Journal on Numerical Analysis. 51(5). 2660–2679. 31 indexed citations
17.
Klöckner, Andreas, Nicolas Pinto, Yunsup Lee, et al.. (2011). PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation. Parallel Computing. 38(3). 157–174. 352 indexed citations breakdown →
18.
Hesthaven, Jan S. & Andreas Klöckner. (2010). High-performance high-order simulation of wave and plasma phenomena. 7 indexed citations
19.
Klöckner, Andreas, et al.. (2009). Nodal discontinuous Galerkin methods on graphics processors. Journal of Computational Physics. 228(21). 7863–7882. 211 indexed citations
20.
Klöckner, Andreas, Nicolas Pinto, Yunsup Lee, et al.. (2009). PyCUDA: GPU Run-Time Code Generation for High-Performance Computing. 53 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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