Daniel Peterseim

2.0k total citations
64 papers, 956 citations indexed

About

Daniel Peterseim is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Daniel Peterseim has authored 64 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computational Mechanics, 38 papers in Computational Theory and Mathematics and 36 papers in Mechanics of Materials. Recurrent topics in Daniel Peterseim's work include Advanced Numerical Methods in Computational Mathematics (41 papers), Advanced Mathematical Modeling in Engineering (34 papers) and Composite Material Mechanics (27 papers). Daniel Peterseim is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (41 papers), Advanced Mathematical Modeling in Engineering (34 papers) and Composite Material Mechanics (27 papers). Daniel Peterseim collaborates with scholars based in Germany, Sweden and Switzerland. Daniel Peterseim's co-authors include Axel Målqvist, Patrick Henning, Robert Altmann, Carsten Carstensen, Stefan Sauter, Ralf Kornhuber, Harry Yserentant, Markus Kästner, Dietmar Gallistl and Paul Hennig and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.

In The Last Decade

Daniel Peterseim

61 papers receiving 915 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Peterseim Germany 16 749 661 612 94 93 64 956
Axel Målqvist Sweden 15 670 0.9× 607 0.9× 538 0.9× 62 0.7× 82 0.9× 47 823
Emmanuil H. Georgoulis United Kingdom 18 1.1k 1.4× 432 0.7× 544 0.9× 247 2.6× 281 3.0× 53 1.3k
Thomas P. Wihler Switzerland 17 649 0.9× 334 0.5× 336 0.5× 206 2.2× 184 2.0× 48 769
Hehu Xie China 20 677 0.9× 273 0.4× 439 0.7× 308 3.3× 270 2.9× 71 955
Michael Neilan United States 20 1.0k 1.4× 515 0.8× 348 0.6× 280 3.0× 136 1.5× 63 1.3k
D. Estep United States 11 489 0.7× 197 0.3× 213 0.3× 153 1.6× 135 1.5× 21 659
Mo Mu United States 10 788 1.1× 346 0.5× 177 0.3× 188 2.0× 102 1.1× 39 923
Svetozar Margenov Bulgaria 13 297 0.4× 248 0.4× 201 0.3× 111 1.2× 70 0.8× 92 558
Johnny Guzmán United States 22 1.5k 2.0× 579 0.9× 572 0.9× 367 3.9× 393 4.2× 61 1.6k

Countries citing papers authored by Daniel Peterseim

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Peterseim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Peterseim

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Peterseim. A scholar is included among the top collaborators of Daniel Peterseim 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 Daniel Peterseim. Daniel Peterseim 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.
Peterseim, Daniel, et al.. (2025). A Simple Collocation-Type Approach to Numerical Stochastic Homogenization. Multiscale Modeling and Simulation. 23(1). 374–396.
2.
Altmann, Robert, Martin Hermann, Daniel Peterseim, & Tatjana Stykel. (2025). Riemannian optimization methods for ground states of multicomponent Bose–Einstein condensates. IMA Journal of Numerical Analysis.
3.
Seibert, Paul, et al.. (2024). Reconstructing Microstructures From Statistical Descriptors Using Neural Cellular Automata. Integrating materials and manufacturing innovation. 13(1). 272–287. 6 indexed citations
4.
Peterseim, Daniel, et al.. (2024). Super-localized orthogonal decomposition for convection-dominated diffusion problems. BIT Numerical Mathematics. 64(3). 33–33. 2 indexed citations
5.
Peterseim, Daniel, et al.. (2024). Super-Localized Orthogonal Decomposition for High-Frequency Helmholtz Problems. SIAM Journal on Scientific Computing. 46(4). A2377–A2397. 2 indexed citations
6.
Peter, Malte A., et al.. (2024). Hierarchical rank-one sequence convexification for the relaxation of variational problems with microstructures. Computer Methods in Applied Mechanics and Engineering. 432. 117321–117321. 2 indexed citations
7.
Peter, Malte A., et al.. (2024). Computational Polyconvexification of Isotropic Functions. Multiscale Modeling and Simulation. 22(4). 1402–1420. 3 indexed citations
8.
Hawkins, Stuart C., et al.. (2024). Metamaterial applications of Tmatsolver, an easy-to-use software for simulating multiple wave scattering in two dimensions. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 480(2292). 2 indexed citations
9.
Gallistl, Dietmar, et al.. (2023). Computational Multiscale Methods for Nondivergence-Form Elliptic Partial Differential Equations. Computational Methods in Applied Mathematics. 24(3). 649–672. 2 indexed citations
10.
Balzani, Daniel, et al.. (2023). Multidimensional rank-one convexification of incremental damage models at finite strains. Computational Mechanics. 73(1). 27–47. 3 indexed citations
11.
Peterseim, Daniel, et al.. (2023). Relaxed Incremental Formulations for Damage at Finite Strains Including Strain Softening. PAMM. 23(1). 1 indexed citations
12.
Seibert, Paul, et al.. (2023). Scattering transform in microstructure reconstruction. PAMM. 23(3). 5 indexed citations
13.
Seibert, Paul, et al.. (2023). On the relevance of descriptor fidelity in microstructure reconstruction. PAMM. 23(3). 4 indexed citations
14.
Peterseim, Daniel, et al.. (2022). Multi-Resolution Localized Orthogonal Decomposition for Helmholtz Problems. Multiscale Modeling and Simulation. 20(2). 657–684. 12 indexed citations
15.
Altmann, Robert, Patrick Henning, & Daniel Peterseim. (2022). Localization and Delocalization of Ground States of Bose--Einstein Condensates Under Disorder. SIAM Journal on Applied Mathematics. 82(1). 330–358. 8 indexed citations
16.
Peterseim, Daniel, et al.. (2022). Super-localization of elliptic multiscale problems. Mathematics of Computation. 92(341). 981–1003. 22 indexed citations
17.
Gallistl, Dietmar & Daniel Peterseim. (2016). Computation of local and quasi-local effective diffusion tensors in elliptic homogenization. arXiv (Cornell University). 2 indexed citations
18.
Peterseim, Daniel, et al.. (2014). Adaptive analysis-suitable T-mesh refinement with linear complexity. arXiv (Cornell University). 1 indexed citations
19.
Målqvist, Axel & Daniel Peterseim. (2014). Localization of elliptic multiscale problems. Mathematics of Computation. 83(290). 2583–2603. 204 indexed citations
20.
Peterseim, Daniel, et al.. (2012). Robustness of finite element simulations in densely packed random particle composites. Networks and Heterogeneous Media. 7(1). 113–126. 4 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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