Andreas Klöckner

1.6k citations
20 papers · 914 indexed · 1 hit paper · h-index 9

Impact in

    • Parallel Computing and Optimization Techniques
    • Advanced Numerical Methods in Computational Mathematics
    • Computational Fluid Dynamics and Aerodynamics
    • Lattice Boltzmann Simulation Studies

Papers in

Andreas Klöckner

19 papers receiving 850 citations

Hit Papers

PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation 2011 · 352 citations
3522011202620162021100200300

Peers

Andreas Klöckner
Comparison fields: 5 of 96
  • Hardware and Architecture 139
  • Computational Mechanics 240
  • Atomic and Molecular Physics, and Optics 223
  • Numerical Analysis 35
  • Computer Graphics and Computer-Aided Design 19
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Citations per year

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-authors

The 25 scholars most cited alongside Andreas Klöckner, 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 Andreas Klöckner Line = papers co-authored together Andreas Klöckner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation
Hit paper breakdown →
2011352
2 2009211
3 2013119
4 201456
5
PyCUDA: GPU Run-Time Code Generation for High-Performance Computing
200953
6 201331
7 201719
8 201917
9 201812
10 20198
11 20197
12
High-performance high-order simulation of wave and plasma phenomena
20107
13 20214
14 20204
15 20184
16 20203
17 20213
18
Autonomes Missionsmanagement für unbemannte solarbetriebene Flugzeuge mit extrem langer Flugdauer
20163
19 20181
20 20230

About Andreas Klöckner

Andreas Klöckner is a scholar working on Numerical Analysis, Atomic and Molecular Physics, and Optics, Hardware and Architecture, Mechanics of Materials and Computational Mechanics, having authored 20 papers that have together received 914 indexed citations. Recurring topics across this work include Electromagnetic Simulation and Numerical Methods (11 papers), Electromagnetic Scattering and Analysis (10 papers), Numerical methods in engineering (5 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Distributed and Parallel Computing Systems (3 papers), Electromagnetic Compatibility and Measurements (3 papers), Numerical methods for differential equations (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (139 citations), Computational Mechanics (240 citations), Atomic and Molecular Physics, and Optics (223 citations), Numerical Analysis (35 citations) and Computer Graphics and Computer-Aided Design (19 citations). Andreas Klöckner has collaborated with scholars based in United States, India and Hong Kong. Frequent co-authors include Paul Ivanov, Nicolas Pinto, Yunsup Lee, Bryan Catanzaro, Ahmed R. Fasih, Jan S. Hesthaven, Tim Warburton, Leslie Greengard, Michael O’Neil and Charles L. Epstein. Their work appears in journals such as Journal of Computational Physics, SIAM Journal on Scientific Computing, Computing in Science & Engineering, Journal of Magnetic Resonance and SIAM Journal on Numerical Analysis.

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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