Achim Basermann

810 total citations
48 papers, 354 citations indexed

About

Achim Basermann is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Hardware and Architecture. According to data from OpenAlex, Achim Basermann has authored 48 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 12 papers in Computational Mechanics and 12 papers in Hardware and Architecture. Recurrent topics in Achim Basermann's work include Matrix Theory and Algorithms (16 papers), Parallel Computing and Optimization Techniques (11 papers) and Electromagnetic Scattering and Analysis (8 papers). Achim Basermann is often cited by papers focused on Matrix Theory and Algorithms (16 papers), Parallel Computing and Optimization Techniques (11 papers) and Electromagnetic Scattering and Analysis (8 papers). Achim Basermann collaborates with scholars based in Germany, Belgium and United Kingdom. Achim Basermann's co-authors include Jonas Thies, Gerhard Wellein, Georg Hager, A. R. Bishop, Holger Fehske, Olaf Schenk, Guy Lonsdale, Tobias Stollenwerk, Dirk Roose and V. Michaud and has published in prestigious journals such as PLoS Computational Biology, Ecological Modelling and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Achim Basermann

42 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Achim Basermann Germany 10 81 78 69 62 55 48 354
Christopher Siefert United States 9 192 2.4× 118 1.5× 69 1.0× 48 0.8× 45 0.8× 25 337
Artem Napov Belgium 9 255 3.1× 260 3.3× 41 0.6× 33 0.5× 98 1.8× 24 467
D. J. Evans United Kingdom 9 66 0.8× 106 1.4× 11 0.2× 17 0.3× 34 0.6× 33 424
Stuart Slattery United States 11 97 1.2× 40 0.5× 20 0.3× 28 0.5× 22 0.4× 21 306
Peter Giesl United Kingdom 14 94 1.2× 109 1.4× 6 0.1× 48 0.8× 13 0.2× 95 849
Jean‐Sylvain Camier United States 7 213 2.6× 96 1.2× 44 0.6× 27 0.4× 79 1.4× 11 392
Kurt Lust Belgium 11 156 1.9× 79 1.0× 6 0.1× 83 1.3× 32 0.6× 22 406
S.P. Banks United Kingdom 13 39 0.5× 106 1.4× 4 0.1× 81 1.3× 45 0.8× 93 766
Andrew T. Barker United States 8 295 3.6× 129 1.7× 31 0.4× 19 0.3× 90 1.6× 19 485

Countries citing papers authored by Achim Basermann

Since Specialization
Citations

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

Fields of papers citing papers by Achim Basermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Achim Basermann

This figure shows the co-authorship network connecting the top 25 collaborators of Achim Basermann. A scholar is included among the top collaborators of Achim Basermann 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 Achim Basermann. Achim Basermann 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.
Basermann, Achim, et al.. (2025). Agent-based modeling for realistic reproduction of human mobility and contact behavior to evaluate test and isolation strategies in epidemic infectious disease spread. Computers in Biology and Medicine. 193. 110269–110269. 3 indexed citations
2.
Thies, Jonas, et al.. (2025). Performance of linear solvers in tensor-train format on current multicore architectures. The International Journal of High Performance Computing Applications. 39(3). 443–461.
3.
Basermann, Achim, et al.. (2025). Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI. SIAM/ASA Journal on Uncertainty Quantification. 13(1). 90–113.
4.
Bazarova, Alina, Achim Basermann, Achim Streit, et al.. (2023). RNA contact prediction by data efficient deep learning. Communications Biology. 6(1). 913–913. 3 indexed citations
5.
Thies, Jonas, et al.. (2023). SIMD vectorization for simultaneous solution of locally varying linear systems with multiple right-hand sides. The Journal of Supercomputing. 79(13). 14684–14706. 3 indexed citations
6.
Binder, Sebastian C., et al.. (2022). Appropriate relaxation of non-pharmaceutical interventions minimizes the risk of a resurgence in SARS-CoV-2 infections in spite of the Delta variant. PLoS Computational Biology. 18(5). e1010054–e1010054. 12 indexed citations
7.
Binder, Sebastian, et al.. (2022). Regional opening strategies with commuter testing and containment of new SARS-CoV-2 variants in Germany. BMC Infectious Diseases. 22(1). 333–333. 11 indexed citations
8.
Mitra, Tanmay, Sahamoddin Khailaie, Sebastian C. Binder, et al.. (2021). Assessment of effective mitigation and prediction of the spread of SARS-CoV-2 in Germany using demographic information and spatial resolution. Mathematical Biosciences. 339. 108648–108648. 22 indexed citations
9.
Götz, Markus, et al.. (2020). HeAT – a Distributed and GPU-accelerated Tensor Framework for Data Analytics. Repository KITopen (Karlsruhe Institute of Technology). 276–287. 4 indexed citations
10.
Thies, Jonas, et al.. (2020). PHIST. ACM Transactions on Mathematical Software. 46(4). 1–26. 3 indexed citations
11.
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
12.
Hofmann, Johannes, et al.. (2014). Porting a parallel rotor wake simulation to GPGPU accelerators using OpenACC. elib (German Aerospace Center). 1 indexed citations
13.
Berti, Guntram, et al.. (2003). Bio-numerical simulations with SimBio. Max Planck Digital Library. 44(1). 140–145. 5 indexed citations
14.
Basermann, Achim, Thierry Coupez, Hugues Digonnet, et al.. (2000). Dynamic load-balancing of finite element applications with the DRAMA library. Applied Mathematical Modelling. 25(2). 83–98. 26 indexed citations
15.
Roose, Dirk, et al.. (1999). DRAMA: A library for parallel dynamic load balancing of finite element applications. 8. 13 indexed citations
16.
Basermann, Achim, et al.. (1998). Parallel dynamic re-partitioning in FEM codes. IEEE International Conference on High Performance Computing, Data, and Analytics. 163–167. 1 indexed citations
17.
Basermann, Achim & Bernhard Steffen. (1997). New Preconditioned Solvers for Large Sparse Eigenvalue Problems on Massively Parallel Computers.. PPSC. 3 indexed citations
18.
Basermann, Achim. (1996). QMR and TFQMR Methods for Sparse Nonsymmetric Problems on Massively Parallel Systems. 2 indexed citations
19.
Basermann, Achim. (1995). Parallel Sparse Matrix Computations in Iterative Solvers on Distributed Memory Machines.. 454–459. 5 indexed citations
20.
Basermann, Achim & P. Weidner. (1992). A parallel algorithm for determining all eigenvalues of large real symmetric tridiagonal matrices. Parallel Computing. 18(10). 1129–1141. 5 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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