Gerhard Wellein

6.4k total citations · 1 hit paper
109 papers, 3.3k citations indexed

About

Gerhard Wellein is a scholar working on Hardware and Architecture, Computer Networks and Communications and Condensed Matter Physics. According to data from OpenAlex, Gerhard Wellein has authored 109 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Hardware and Architecture, 33 papers in Computer Networks and Communications and 31 papers in Condensed Matter Physics. Recurrent topics in Gerhard Wellein's work include Parallel Computing and Optimization Techniques (41 papers), Physics of Superconductivity and Magnetism (30 papers) and Advanced Data Storage Technologies (24 papers). Gerhard Wellein is often cited by papers focused on Parallel Computing and Optimization Techniques (41 papers), Physics of Superconductivity and Magnetism (30 papers) and Advanced Data Storage Technologies (24 papers). Gerhard Wellein collaborates with scholars based in Germany, United States and Australia. Gerhard Wellein's co-authors include Holger Fehske, Georg Hager, Alexander Weiße, Andreas Alvermann, A. R. Bishop, T. Zeiser, Holger Fehske, Heinrich Röder, Thomas Zeiser and Moritz Kreutzer and has published in prestigious journals such as Physical Review Letters, Reviews of Modern Physics and Physical review. B, Condensed matter.

In The Last Decade

Gerhard Wellein

101 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The kernel polynomial method

2006 687 citations Alexander Weiße, Gerhard Wellein et al. profile →

Peers

Gerhard Wellein

AMPO

CMP

CM

HA

CNC

Hidetoshi Nishimori Japan

Georg Hager Germany

E. D’Azevedo United States

Andrew Lucas United States

Onuttom Narayan United States

Wolfgang Kinzel Germany

Andreas Vogel Germany

Paul Coddington Australia

Danny C. Sorensen United States

Duncan Roweth United Kingdom

Hidetoshi Nishimori Japan

Gerhard Wellein

2.0k ×1.5

AMPO

2.3k ×2.1

CMP

100 ×0.2

CM

69 ×0.1

HA

433 ×0.7

CNC

Citations per year, relative to Gerhard Wellein Gerhard Wellein (= 1×) peers Hidetoshi Nishimori

Countries citing papers authored by Gerhard Wellein

Since Specialization

Citations

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

Fields of papers citing papers by Gerhard Wellein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Wellein

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Owen, Herbert, et al.. (2024). Alya towards Exascale: Optimal OpenACC Performance of the Navier-Stokes Finite Element Assembly on GPUs. 408–416.

2.

Gruber, Thomas, et al.. (2024). CloverLeaf on Intel Multi-Core CPUs: A Case Study in Write-Allocate Evasion. 350–360. 2 indexed citations

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.

Gruber, Thomas, et al.. (2023). 2D-dwell-time analysis with simulations of ion-channel gating using high-performance computing. Biophysical Journal. 122(7). 1287–1300. 1 indexed citations

6.

Schenk, Olaf, et al.. (2021). Multiway p-spectral graph cuts on Grassmann manifolds. Machine Learning. 111(2). 791–829. 5 indexed citations

7.

Klawonn, Axel, Martin Lanser, Oliver Rheinbach, Gerhard Wellein, & Markus Wittmann. (2020). Energy efficiency of nonlinear domain decomposition methods. The International Journal of High Performance Computing Applications. 35(3). 237–253. 3 indexed citations

8.

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

9.

Hager, Georg, et al.. (2019). Performance Engineering for a Tall & Skinny Matrix Multiplication Kernel on GPUs. arXiv (Cornell University).

10.

Bauer, Martin, Johannes Hötzer, Harald Köstler, et al.. (2019). Code generation for massively parallel phase-field simulations. 1–32. 9 indexed citations

11.

Anzt, Hartwig, et al.. (2016). Efficiency of General Krylov Methods on GPUs -- An Experimental Study. 683–691. 12 indexed citations

12.

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

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.

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

16.

Wellein, Gerhard, Holger Fehske, Andreas Alvermann, & D. M. Edwards. (2008). Correlation-Induced Metal Insulator Transition in a Two-Channel Fermion-Boson Model. Physical Review Letters. 101(13). 136402–136402. 12 indexed citations

17.

Sykora, Steffen, A. Hübsch, K. W. Becker, Gerhard Wellein, & Holger Fehske. (2005). Single-particle excitations and phonon softening in the one-dimensional spinless Holstein model. Physical Review B. 71(4). 38 indexed citations

18.

Pohl, Thomas, Nils Thürey, Ulrich Rüde, et al.. (2005). Performance Evaluation of Parallel Large-Scale Lattice Boltzmann Applications on Three Supercomputing Architectures. 21–21. 64 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.

Wellein, Gerhard, Heinrich Röder, & Holger Fehske. (1996). Polarons and bipolarons in strongly interacting electron-phonon systems. Physical review. B, Condensed matter. 53(15). 9666–9675. 125 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.

Explore authors with similar magnitude of impact