Benjamin Uekérmann

929 total citations
31 papers, 538 citations indexed

About

Benjamin Uekérmann is a scholar working on Computational Mechanics, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Benjamin Uekérmann has authored 31 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 10 papers in Computer Networks and Communications and 8 papers in Hardware and Architecture. Recurrent topics in Benjamin Uekérmann's work include Advanced Numerical Methods in Computational Mathematics (10 papers), Advanced Data Storage Technologies (8 papers) and Parallel Computing and Optimization Techniques (8 papers). Benjamin Uekérmann is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (10 papers), Advanced Data Storage Technologies (8 papers) and Parallel Computing and Optimization Techniques (8 papers). Benjamin Uekérmann collaborates with scholars based in Germany, Netherlands and South Africa. Benjamin Uekérmann's co-authors include Miriam Mehl, Florian Lindner, Hans‐Joachim Bungartz, Klaudius Scheufele, Bernhard Gatzhammer, D. P. Schneider, Rob Haelterman, H. Bijl, Miriam Schulte and Philipp Neumann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Structures and SIAM Journal on Scientific Computing.

In The Last Decade

Benjamin Uekérmann

26 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Uekérmann Germany 12 327 119 66 51 49 31 538
Florian Lindner Germany 6 194 0.6× 87 0.7× 25 0.4× 27 0.5× 29 0.6× 7 307
Klaudius Scheufele Germany 7 184 0.6× 72 0.6× 23 0.3× 32 0.6× 24 0.5× 9 327
Shan Li China 16 540 1.7× 83 0.7× 31 0.5× 39 0.8× 92 1.9× 78 806
R. Borrell Spain 18 762 2.3× 246 2.1× 72 1.1× 40 0.8× 48 1.0× 56 940
Xesús Nogueira Spain 18 888 2.7× 164 1.4× 25 0.4× 27 0.5× 86 1.8× 53 1.1k
F. Auteri Italy 18 711 2.2× 239 2.0× 16 0.2× 62 1.2× 60 1.2× 51 814
Sabine Roller Germany 12 440 1.3× 99 0.8× 20 0.3× 18 0.4× 33 0.7× 35 589
Kristian B. Ølgaard Denmark 3 181 0.6× 28 0.2× 28 0.4× 47 0.9× 36 0.7× 5 444
J. D. Rodríguez Spain 13 147 0.4× 128 1.1× 115 1.7× 164 3.2× 53 1.1× 34 569
M Christon United States 15 451 1.4× 86 0.7× 27 0.4× 24 0.5× 44 0.9× 38 643

Countries citing papers authored by Benjamin Uekérmann

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Uekérmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Uekérmann

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Uekérmann. A scholar is included among the top collaborators of Benjamin Uekérmann 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 Benjamin Uekérmann. Benjamin Uekérmann 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.
Uekérmann, Benjamin, et al.. (2025). AI-assisted JSON Schema Creation and Mapping. ArXiv.org. 79–83.
2.
Schneider, D. P., et al.. (2024). ASTE: An artificial solver testing environment forpartitioned coupling with preCICE. The Journal of Open Source Software. 9(103). 7127–7127. 1 indexed citations
3.
Uekérmann, Benjamin, et al.. (2023). Partitioned Flow Simulations with preCICE and OpenFOAM. mediaTUM (Technical University of Munich). 2 indexed citations
4.
Schneider, David C., et al.. (2023). Data-Parallel Radial-Basis Function Interpolation in preCICE. 1 indexed citations
5.
Schneider, D. P., et al.. (2023). OpenFOAM-preCICE: Coupling OpenFOAM with External Solvers for Multi-Physics Simulations. mediaTUM (Technical University of Munich). 3. 1–25. 24 indexed citations
6.
Schulte, Miriam, et al.. (2022). preCICE v2: A sustainable and user-friendly coupling library. SHILAP Revista de lepidopterología. 2. 51–51. 21 indexed citations
7.
Schulte, Miriam, et al.. (2022). preCICE v2: A sustainable and user-friendly coupling library. SHILAP Revista de lepidopterología. 2. 51–51. 44 indexed citations
8.
Schulte, Miriam, et al.. (2022). Enhancing Quasi-Newton Acceleration for Fluid-Structure Interaction. Mathematical and Computational Applications. 27(3). 40–40. 7 indexed citations
9.
Uekérmann, Benjamin, et al.. (2021). FEniCS-preCICE: Coupling FEniCS to other simulation software. Figshare. 11 indexed citations
10.
Flemisch, Bernd, Christian Holm, Miriam Mehl, et al.. (2020). Umgang mit Forschungssoftware an der Universität Stuttgart. OPUS Publication Server of the University of Stuttgart (University of Stuttgart). 1 indexed citations
11.
Bungartz, Hans‐Joachim, et al.. (2020). Software for Exascale Computing - SPPEXA 2016-2019. CERN Document Server (European Organization for Nuclear Research). 26 indexed citations
12.
Uekérmann, Benjamin. (2018). A Parallel, Black-Box Coupling Algorithm for Fluid-Structure Interaction. QRU Quaderns de Recerca en Urbanisme.
13.
Uekérmann, Benjamin, et al.. (2018). Nonintrusive Uncertainty Analysis of Fluid-Structure Interaction with Spatially Adaptive Sparse Grids and Polynomial Chaos Expansion. SIAM Journal on Scientific Computing. 40(2). B457–B482. 4 indexed citations
14.
Mehl, Miriam, et al.. (2016). Parallel coupling numerics for partitioned fluid–structure interaction simulations. Computers & Mathematics with Applications. 71(4). 869–891. 57 indexed citations
15.
Haelterman, Rob, et al.. (2016). Improving the performance of the partitioned QN-ILS procedure for fluid–structure interaction problems: Filtering. Computers & Structures. 171. 9–17. 50 indexed citations
16.
Uekérmann, Benjamin. (2016). Partitioned Fluid-Structure Interaction on Massively Parallel Systems. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 22 indexed citations
17.
Uekérmann, Benjamin, et al.. (2016). Steady-State Anderson Accelerated Coupling of Lattice Boltzmann and Navier–Stokes Solvers. Computation. 4(4). 38–38. 4 indexed citations
18.
Lindner, Florian, Miriam Mehl, Klaudius Scheufele, & Benjamin Uekérmann. (2015). A comparison of various quasi-newton schemes for partitioned fluid-structure interaction. mediaTUM (Technical University of Munich). 477–488. 14 indexed citations
19.
Uekérmann, Benjamin, Bernhard Gatzhammer, & Miriam Mehl. (2014). Coupling Algorithms for Partitioned Multi-Physics Simulations.. mediaTUM (Technical University of Munich). 113–124. 1 indexed citations
20.
Bungartz, Hans‐Joachim, Florian Lindner, Miriam Mehl, & Benjamin Uekérmann. (2014). A plug-and-play coupling approach for parallel multi-field simulations. Computational Mechanics. 55(6). 1119–1129. 22 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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