Georg Hager

4.5k total citations
74 papers, 1.9k citations indexed

About

Georg Hager is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Georg Hager has authored 74 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Hardware and Architecture, 34 papers in Computer Networks and Communications and 20 papers in Computational Mechanics. Recurrent topics in Georg Hager's work include Parallel Computing and Optimization Techniques (40 papers), Advanced Data Storage Technologies (27 papers) and Lattice Boltzmann Simulation Studies (19 papers). Georg Hager is often cited by papers focused on Parallel Computing and Optimization Techniques (40 papers), Advanced Data Storage Technologies (27 papers) and Lattice Boltzmann Simulation Studies (19 papers). Georg Hager collaborates with scholars based in Germany, United States and Switzerland. Georg Hager's co-authors include Gerhard Wellein, Rolf Rabenseifner, Gabriele Jost, Holger Fehske, Holger Fehske, T. Zeiser, A. R. Bishop, Thomas Zeiser, Eric Jeckelmann and Markus Wittmann and has published in prestigious journals such as Physical Review Letters, Physical Review B and Journal of Computational Physics.

In The Last Decade

Georg Hager

68 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georg Hager Germany 20 693 675 552 341 246 74 1.9k
Chao Yang China 25 451 0.7× 445 0.7× 682 1.2× 225 0.7× 177 0.7× 134 2.0k
Gerhard Wellein Germany 31 608 0.9× 600 0.9× 635 1.2× 531 1.6× 1.4k 5.6× 109 3.3k
Rupak Biswas United States 25 588 0.8× 732 1.1× 654 1.2× 307 0.9× 345 1.4× 97 2.8k
Michael A. Heroux United States 22 758 1.1× 787 1.2× 479 0.9× 302 0.9× 195 0.8× 85 2.2k
E. Anderson United States 9 400 0.6× 368 0.5× 317 0.6× 214 0.6× 317 1.3× 19 1.8k
В. М. Волков Belarus 14 1.2k 1.7× 1.0k 1.5× 153 0.3× 278 0.8× 295 1.2× 46 2.2k
John L. Gustafson United States 18 1.1k 1.5× 930 1.4× 173 0.3× 435 1.3× 99 0.4× 79 2.2k
Xiaoye Sherry Li United States 22 550 0.8× 340 0.5× 674 1.2× 649 1.9× 703 2.9× 87 2.7k
Mikhail Smelyanskiy United States 22 1.3k 1.8× 1.1k 1.6× 224 0.4× 340 1.0× 99 0.4× 56 2.3k
Paul Coddington Australia 22 175 0.3× 322 0.5× 122 0.2× 113 0.3× 589 2.4× 118 2.0k

Countries citing papers authored by Georg Hager

Since Specialization
Citations

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

Fields of papers citing papers by Georg Hager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Hager

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Hager. A scholar is included among the top collaborators of Georg Hager 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 Georg Hager. Georg Hager 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.
Gruber, Thomas, et al.. (2024). CloverLeaf on Intel Multi-Core CPUs: A Case Study in Write-Allocate Evasion. 350–360. 2 indexed citations
2.
3.
Hager, Georg, et al.. (2023). MD-Bench: A performance-focused prototyping harness for state-of-the-art short-range molecular dynamics algorithms. Future Generation Computer Systems. 149. 25–38. 1 indexed citations
4.
Hager, Georg, et al.. (2023). Making applications faster by asynchronous execution: Slowing down processes or relaxing MPI collectives. Future Generation Computer Systems. 148. 472–487. 1 indexed citations
5.
Hager, Georg, et al.. (2021). YaskSite: Stencil Optimization Techniques Applied to Explicit ODE Methods on Modern Architectures. ERef Bayreuth (University of Bayreuth). 174–186. 1 indexed citations
6.
Hager, Georg, et al.. (2020). Performance engineering for real and complex tall & skinny matrix multiplication kernels on GPUs. The International Journal of High Performance Computing Applications. 35(1). 5–19. 10 indexed citations
7.
Thies, Jonas, et al.. (2020). PHIST. ACM Transactions on Mathematical Software. 46(4). 1–26. 3 indexed citations
8.
Basermann, Achim, A. R. Bishop, Holger Fehske, et al.. (2020). A Recursive Algebraic Coloring Technique for Hardware-efficient Symmetric Sparse Matrix-vector Multiplication. elib (German Aerospace Center). 7(3). 1–37. 81 indexed citations
9.
Hager, Georg, et al.. (2019). Performance Engineering for a Tall & Skinny Matrix Multiplication Kernel on GPUs. arXiv (Cornell University).
10.
Kreutzer, Moritz, et al.. (2016). Building and utilizing fault tolerance support tools for the GASPI applications. The International Journal of High Performance Computing Applications. 32(5). 613–626. 2 indexed citations
11.
Kreutzer, Moritz, Andreas Alvermann, Holger Fehske, et al.. (2016). High-performance implementation of Chebyshev filter diagonalization for interior eigenvalue computations. Journal of Computational Physics. 325. 226–243. 19 indexed citations
12.
Kreutzer, Moritz, et al.. (2015). Building a Fault Tolerant Application Using the GASPI Communication Layer. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 580–587. 2 indexed citations
13.
Kreutzer, Moritz, Georg Hager, Gerhard Wellein, Holger Fehske, & A. R. Bishop. (2013). A unified sparse matrix data format for modern processors with wide SIMD units. arXiv (Cornell University). 21 indexed citations
14.
Wittmann, Markus, Thomas Zeiser, Georg Hager, & Gerhard Wellein. (2012). Comparison of different propagation steps for lattice Boltzmann methods. Computers & Mathematics with Applications. 65(6). 924–935. 69 indexed citations
15.
Wittmann, Markus, T. Zeiser, Georg Hager, & Gerhard Wellein. (2012). Domain decomposition and locality optimization for large-scale lattice Boltzmann simulations. Computers & Fluids. 80. 283–289. 6 indexed citations
16.
Feichtinger, Christian, et al.. (2011). A flexible Patch-based lattice Boltzmann parallelization approach for heterogeneous GPU–CPU clusters. Parallel Computing. 37(9). 536–549. 40 indexed citations
17.
Ejima, Satoshi, Georg Hager, & Holger Fehske. (2009). Quantum Phase Transition in a 1D Transport Model with Boson-Affected Hopping: Luttinger Liquid versus Charge-Density-Wave Behavior. Physical Review Letters. 102(10). 106404–106404. 15 indexed citations
18.
Wellein, Gerhard, T. Zeiser, Georg Hager, & S. Donath. (2005). On the single processor performance of simple lattice Boltzmann kernels. Computers & Fluids. 35(8-9). 910–919. 160 indexed citations
19.
Fehske, Holger, Gerhard Wellein, Georg Hager, Alexander Weiße, & A. R. Bishop. (2004). Quantum lattice dynamical effects on single-particle excitations in one-dimensional Mott and Peierls insulators. Physical Review B. 69(16). 47 indexed citations
20.
Fehske, Holger, Gerhard Wellein, Georg Hager, Alexander Weiße, & A. R. Bishop. (2003). Quantum lattice dynamical effects on the single-particle excitations in 1D Mott and Peierls insulators. arXiv (Cornell University). 2004. 1 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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