Markus Bause

814 total citations
49 papers, 453 citations indexed

About

Markus Bause is a scholar working on Computational Mechanics, Mechanics of Materials and Numerical Analysis. According to data from OpenAlex, Markus Bause has authored 49 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computational Mechanics, 16 papers in Mechanics of Materials and 15 papers in Numerical Analysis. Recurrent topics in Markus Bause's work include Advanced Numerical Methods in Computational Mathematics (32 papers), Computational Fluid Dynamics and Aerodynamics (15 papers) and Advanced Mathematical Modeling in Engineering (12 papers). Markus Bause is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (32 papers), Computational Fluid Dynamics and Aerodynamics (15 papers) and Advanced Mathematical Modeling in Engineering (12 papers). Markus Bause collaborates with scholars based in Germany, Norway and United States. Markus Bause's co-authors include Peter Knabner, Florin A. Radu, Wolfgang Friess, Eberhard Bänsch, Andreas Brenner, John G. Heywood, Antonín Novotný, M. Padula, Alireza Doostan and Franz X. Kärtner and has published in prestigious journals such as Journal of Computational Physics, Optics Express and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Markus Bause

44 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Bause Germany 12 295 130 126 95 73 49 453
Patrick Laug France 13 434 1.5× 38 0.3× 128 1.0× 17 0.2× 39 0.5× 36 624
Thomas Rüberg Austria 9 244 0.8× 42 0.3× 157 1.2× 10 0.1× 40 0.5× 17 355
J.J. Telega Poland 11 88 0.3× 218 1.7× 377 3.0× 18 0.2× 121 1.7× 78 575
Hugo Casquero United States 13 449 1.5× 66 0.5× 108 0.9× 21 0.2× 26 0.4× 22 508
A. Jonas Niklasson Sweden 14 94 0.3× 67 0.5× 304 2.4× 18 0.2× 66 0.9× 21 393
Céline Lapuerta France 8 351 1.2× 81 0.6× 25 0.2× 22 0.2× 7 0.1× 11 510
Roland Krause Germany 7 174 0.6× 119 0.9× 256 2.0× 8 0.1× 48 0.7× 10 313
Varun Gupta United States 12 217 0.7× 38 0.3× 393 3.1× 2 0.0× 85 1.2× 27 549
Bruno Piar France 8 275 0.9× 51 0.4× 35 0.3× 17 0.2× 10 0.1× 13 397
Vincent Faucher France 10 186 0.6× 11 0.1× 81 0.6× 24 0.3× 57 0.8× 42 284

Countries citing papers authored by Markus Bause

Since Specialization
Citations

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

Fields of papers citing papers by Markus Bause

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Bause

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Bause. A scholar is included among the top collaborators of Markus Bause 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 Markus Bause. Markus Bause 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.
Mamun, Osman, et al.. (2024). Accelerated development of multi-component alloys in discrete design space using Bayesian multi-objective optimisation. Machine Learning Science and Technology. 6(1). 15001–15001.
2.
Bause, Markus, et al.. (2024). Convergence of a continuous Galerkin method for hyperbolic-parabolic systems. Computers & Mathematics with Applications. 158. 118–138. 2 indexed citations
3.
Bause, Markus, et al.. (2024). An energy-efficient GMRES–multigrid solver for space-time finite element computation of dynamic poroelasticity. Computational Mechanics. 74(4). 889–912. 1 indexed citations
4.
5.
Kärtner, Franz X., et al.. (2023). Optimal Dirichlet boundary control by Fourier neural operators applied to nonlinear optics. Journal of Computational Physics. 499. 112725–112725. 3 indexed citations
6.
Bause, Markus, et al.. (2022). On the Implementation of an Adaptive Multirate Framework for Coupled Transport and Flow. Journal of Scientific Computing. 93(3). 5 indexed citations
7.
De, Subhayan, et al.. (2021). Prediction of Ultrasonic Guided Wave Propagation in Fluid–Structure and Their Interface under Uncertainty Using Machine Learning. Journal of Engineering Mechanics. 148(3). 4 indexed citations
8.
Bause, Markus, et al.. (2020). Flexible goal-oriented adaptivity for higher-order space–time discretizations of transport problems with coupled flow. Computers & Mathematics with Applications. 91. 17–35. 9 indexed citations
9.
Bause, Markus, et al.. (2019). Modeling concept and numerical simulation of ultrasonic wave propagation in a moving fluid-structure domain based on a monolithic approach. Applied Mathematical Modelling. 75. 916–939. 3 indexed citations
10.
Bause, Markus, et al.. (2019). Numerical study and comparison of alternative time discretization schemes for an ultrasonic guided wave propagation problem coupled with fluid–structure interaction. Computers & Mathematics with Applications. 78(9). 2867–2885. 6 indexed citations
11.
Bause, Markus, et al.. (2019). Efficient and scalable data structures and algorithms for goal-oriented adaptivity of space–time FEM codes. SoftwareX. 10. 100239–100239. 10 indexed citations
12.
Bause, Markus, et al.. (2017). Finite Element Approximation of Fluid‐Structure Interaction with Coupled Wave Propagation. PAMM. 17(1). 511–512. 4 indexed citations
13.
Bause, Markus, et al.. (2015). Variational time discretization for mixed finite element approximations of nonstationary diffusion problems. Journal of Computational and Applied Mathematics. 289. 208–224. 5 indexed citations
14.
Bause, Markus, et al.. (2012). Higher order finite element approximation of systems of convection–diffusion–reaction equations with small diffusion. Journal of Computational and Applied Mathematics. 246. 52–64. 13 indexed citations
15.
Radu, Florin A., et al.. (2007). A model describing the effect of enzymatic degradation on drug release from collagen minirods. European Journal of Pharmaceutics and Biopharmaceutics. 67(2). 349–360. 33 indexed citations
16.
Bause, Markus, et al.. (2005). Higher order regularity and approximation of solutions to the Monod biodegradation model. Applied Numerical Mathematics. 55(2). 154–172. 5 indexed citations
17.
Bause, Markus. (2005). On optimal convergence rates for higher-order Navier–Stokes approximations. I. Error estimates for the spatial discretization. IMA Journal of Numerical Analysis. 25(4). 812–841. 6 indexed citations
18.
19.
Bause, Markus & Peter Knabner. (2002). Uniform Error Analysis for Lagrange--Galerkin Approximations of Convection-Dominated Problems. SIAM Journal on Numerical Analysis. 39(6). 1954–1984. 28 indexed citations
20.
Radu, Florin A., et al.. (2002). Modeling of Drug Release from Collagen Matrices. Journal of Pharmaceutical Sciences. 91(4). 964–972. 37 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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