Moritz Kreutzer

517 total citations
14 papers, 270 citations indexed

About

Moritz Kreutzer is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Moritz Kreutzer has authored 14 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hardware and Architecture, 6 papers in Computer Networks and Communications and 5 papers in Computational Theory and Mathematics. Recurrent topics in Moritz Kreutzer's work include Parallel Computing and Optimization Techniques (7 papers), Matrix Theory and Algorithms (5 papers) and Advanced Data Storage Technologies (4 papers). Moritz Kreutzer is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Matrix Theory and Algorithms (5 papers) and Advanced Data Storage Technologies (4 papers). Moritz Kreutzer collaborates with scholars based in Germany, United States and United Kingdom. Moritz Kreutzer's co-authors include Gerhard Wellein, Georg Hager, A. R. Bishop, Holger Fehske, Jack Dongarra, Hartwig Anzt, Mark Gates, Holger Fehske, Andreas Alvermann and Eduardo Lazcano‐Ponce and has published in prestigious journals such as Journal of Computational Physics, SIAM Journal on Scientific Computing and Parallel Computing.

In The Last Decade

Moritz Kreutzer

12 papers receiving 259 citations

Peers

Moritz Kreutzer
Mawussi Zounon United Kingdom
Jonathan Hogg United Kingdom
Susan Ostrouchov United States
Eun-Jin Im South Korea
Keita Teranishi United States
Hans Pabst Germany
Tom Deakin United Kingdom
E. A. Vavalis United States
Moritz Kreutzer
Citations per year, relative to Moritz Kreutzer Moritz Kreutzer (= 1×) peers Goran Flegar

Countries citing papers authored by Moritz Kreutzer

Since Specialization
Citations

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

Fields of papers citing papers by Moritz Kreutzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moritz Kreutzer

This figure shows the co-authorship network connecting the top 25 collaborators of Moritz Kreutzer. A scholar is included among the top collaborators of Moritz Kreutzer 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 Moritz Kreutzer. Moritz Kreutzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Wellein, Gerhard, Moritz Kreutzer, Jonas Thies, et al.. (2020). Equipping Sparse Solvers for Exascale. elib (German Aerospace Center).
2.
Kreutzer, Moritz. (2018). Performance Engineering for Exascale-Enabled Sparse Linear Algebra Building Blocks. OPUS Repository (Kooperativer Bibliotheksverbund Berlin-Brandenburg).
3.
Kreutzer, Moritz, et al.. (2018). Chebyshev Filter Diagonalization on Modern Manycore Processors and GPGPUs. arXiv (Cornell University). 329–349. 4 indexed citations
4.
Anzt, Hartwig, et al.. (2017). Preconditioned Krylov solvers on GPUs. Parallel Computing. 68. 32–44. 31 indexed citations
5.
Anzt, Hartwig, et al.. (2016). Efficiency of General Krylov Methods on GPUs -- An Experimental Study. 683–691. 12 indexed citations
6.
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
7.
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
8.
Anzt, Hartwig, Moritz Kreutzer, Eduardo Lazcano‐Ponce, et al.. (2016). Optimization and performance evaluation of the IDR iterative Krylov solver on GPUs. The International Journal of High Performance Computing Applications. 32(2). 220–230. 9 indexed citations
9.
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
10.
Thies, Jonas, Moritz Kreutzer, Andreas Alvermann, et al.. (2015). Increasing the Performance of the Jacobi--Davidson Method by Blocking. SIAM Journal on Scientific Computing. 37(6). C697–C722. 12 indexed citations
11.
Kreutzer, Moritz, Georg Hager, Gerhard Wellein, Holger Fehske, & A. R. Bishop. (2014). A Unified Sparse Matrix Data Format for Efficient General Sparse Matrix-Vector Multiplication on Modern Processors with Wide SIMD Units. SIAM Journal on Scientific Computing. 36(5). C401–C423. 148 indexed citations
12.
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
13.
Wittmann, Markus, et al.. (2013). A SURVEY OF CHECKPOINT/RESTART TECHNIQUES ON DISTRIBUTED MEMORY SYSTEMS. Parallel Processing Letters. 23(4). 1340011–1340011. 7 indexed citations
14.
Kreutzer, Moritz. (2011). Modelling of Core Noise from Power Transformers.. 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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