Miriam Mehl

2.1k total citations
48 papers, 955 citations indexed

About

Miriam Mehl is a scholar working on Computational Mechanics, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, Miriam Mehl has authored 48 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Mechanics, 10 papers in Computer Networks and Communications and 7 papers in Biomedical Engineering. Recurrent topics in Miriam Mehl's work include Lattice Boltzmann Simulation Studies (13 papers), Advanced Numerical Methods in Computational Mathematics (11 papers) and Computational Fluid Dynamics and Aerodynamics (11 papers). Miriam Mehl is often cited by papers focused on Lattice Boltzmann Simulation Studies (13 papers), Advanced Numerical Methods in Computational Mathematics (11 papers) and Computational Fluid Dynamics and Aerodynamics (11 papers). Miriam Mehl collaborates with scholars based in Germany, United States and Netherlands. Miriam Mehl's co-authors include Hans‐Joachim Bungartz, Michael Schäfer, Benjamin Uekérmann, Klaudius Scheufele, Bernhard Gatzhammer, Florian Lindner, Tobias Weinzierl, Tobias Neckel, Rob Haelterman and H. Bijl and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Frontiers in Physiology and Computers & Structures.

In The Last Decade

Miriam Mehl

46 papers receiving 911 citations

Peers

Miriam Mehl

CNC

Xiangmin Jiao United States

Richard D. Hornung United States

Jamaludin Mohd‐Yusof United States

Onkar Sahni United States

Benjamin Uekérmann Germany

Ken Museth United States

Johan Hoffman Sweden

Frank Losasso United States

R. Borrell Spain

Edward Luke United States

Xiangmin Jiao United States

Miriam Mehl

843 ×1.4

164 ×1.2

61 ×0.6

82 ×0.9

CNC

345 ×4.0

Citations per year, relative to Miriam Mehl Miriam Mehl (= 1×) peers Xiangmin Jiao

Countries citing papers authored by Miriam Mehl

Since Specialization

Citations

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

Fields of papers citing papers by Miriam Mehl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Mehl

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

All Works

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20 of 20 papers shown

Biros, George, et al.. (2021). CLAIRE: Constrained Large Deformation Diffeomorphic Image Registration on Parallel Computing Architectures. The Journal of Open Source Software. 6(61). 3038–3038. 2 indexed citations

Biros, George, et al.. (2020). Fast GPU 3D diffeomorphic image registration. Journal of Parallel and Distributed Computing. 149. 149–162. 13 indexed citations

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

Mehl, Miriam, et al.. (2019). Adaptive grid implementation for parallel continuum mechanics methods in particle simulations. The European Physical Journal Special Topics. 227(14). 1757–1778. 5 indexed citations

Scheufele, Klaudius, Andreas Mang, Amir Gholami, et al.. (2019). Coupling brain-tumor biophysical models and diffeomorphic image registration. Computer Methods in Applied Mechanics and Engineering. 347. 533–567. 19 indexed citations

Bradley, Chris P., Thomas Ertl, Dominik Göddeke, et al.. (2018). Enabling Detailed, Biophysics-Based Skeletal Muscle Models on HPC Systems. Frontiers in Physiology. 9. 816–816. 16 indexed citations

Gholami, Amir, Andreas Mang, Klaudius Scheufele, et al.. (2017). A framework for scalable biophysics-based image analysis. Fachbereich Informatik (University of Stuttgart). 1–13. 5 indexed citations

Malhotra, Dhairya, et al.. (2016). A parallel arbitrary-order accurate AMR algorithm for the scalar advection-diffusion equation. IEEE International Conference on High Performance Computing, Data, and Analytics. 44. 2 indexed citations

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

10.

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

11.

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

12.

Uekérmann, Benjamin, Bernhard Gatzhammer, & Miriam Mehl. (2014). Coupling Algorithms for Partitioned Multi-Physics Simulations.. mediaTUM (Technical University of Munich). 113–124. 1 indexed citations

13.

Neumann, Philipp, Hans‐Joachim Bungartz, Miriam Mehl, Tobias Neckel, & Tobias Weinzierl. (2012). A Coupled Approach for Fluid Dynamic Problems Using the PDE Framework Peano. Communications in Computational Physics. 12(1). 65–84. 8 indexed citations

14.

Bungartz, Hans‐Joachim, Miriam Mehl, & Michael Schäfer. (2010). Fluid Structure Interaction II: Modelling, Simulation, Optimization. CERN Document Server (European Organization for Nuclear Research). 55 indexed citations

15.

Gatzhammer, Bernhard, Miriam Mehl, & Tobias Neckel. (2010). A coupling environment for partitioned multiphysics simulations applied to fluid-structure interaction scenarios. Procedia Computer Science. 1(1). 681–689. 15 indexed citations

16.

Bungartz, Hans‐Joachim, Miriam Mehl, & Michael Schäfer. (2010). Fluid Structure Interaction II. Ghent University Academic Bibliography (Ghent University). 114 indexed citations

17.

Bungartz, Hans‐Joachim, Miriam Mehl, Tobias Neckel, & Tobias Weinzierl. (2009). The PDE framework Peano applied to fluid dynamics: an efficient implementation of a parallel multiscale fluid dynamics solver on octree-like adaptive Cartesian grids. Computational Mechanics. 46(1). 103–114. 36 indexed citations

18.

Bungartz, Hans‐Joachim & Miriam Mehl. (2006). CARTESIAN DISCRETISATIONS FOR FLUID-STRUCTURE INTERACTION - EFFICIENT FLOW SOLVER. Research Repository (Delft University of Technology). 1 indexed citations

19.

Bungartz, Hans‐Joachim, Michael Schäfer, & Miriam Mehl. (2006). Fluid-structure interaction : modelling, simulation, optimisation. CERN Document Server (European Organization for Nuclear Research). 84 indexed citations

20.

Mehl, Miriam, et al.. (2001). Time-resolved study of biofilm architecture and transport processes using experimental and simulation techniques: the role of EPS. Water Science & Technology. 43(6). 143–151. 21 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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