Martin Lanser
- Computational Mechanics top 10%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 10%
- Mechanics of Materials
- Electrical and Electronic Engineering
- Co-authors
- Axel KlawonnOliver RheinbachAlexander HeinleinStephan KöhlerMarkus WittmannGerhard WelleinOlaf SchenkGeorg Hager
- Topics
- Advanced Numerical Methods in Computational Mathematics (13 papers)Matrix Theory and Algorithms (7 papers)Electromagnetic Simulation and Numerical Methods (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational MechanicsComputational Theory and Mathematics
- Journals
- Journal of Computational PhysicsSIAM Journal on Scientific ComputingComputational Mechanics
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Martin Lanser
20 papers receiving 208 citations
Peers
Comparison fields: 5 of 42
- Computational Mechanics 128
- Computational Theory and Mathematics 91
- Statistical and Nonlinear Physics 81
- Mechanics of Materials 65
- Electrical and Electronic Engineering 43
Countries citing papers authored by Martin Lanser
This map shows the geographic impact of Martin Lanser'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 Martin Lanser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Lanser more than expected).
Fields of papers citing papers by Martin Lanser
This network shows the impact of papers produced by Martin Lanser. 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 Martin Lanser. The network helps show where Martin Lanser may publish in the future.
Co-authorship network of co-authors of Martin Lanser
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Lanser. A scholar is included among the top collaborators of Martin Lanser 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 Martin Lanser. Martin Lanser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 43 | |
| 9 | 11 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | Combining Machine Learning and Domain Decomposition Methods – A Review | 2 |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 19 | |
| 16 | 14 | |
| 17 | 8 | |
| 18 | 6 | |
| 19 | 42 | |
| 20 | 32 |
About Martin Lanser
Martin Lanser is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Numerical Analysis, having authored 21 papers that have together received 239 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (13 papers), Matrix Theory and Algorithms (7 papers) and Electromagnetic Simulation and Numerical Methods (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (81 citations), Computational Mechanics (128 citations) and Computational Theory and Mathematics (91 citations). Martin Lanser has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Axel Klawonn, Oliver Rheinbach, Alexander Heinlein, Stephan Köhler, Markus Wittmann, Gerhard Wellein, Olaf Schenk and Georg Hager. Their work appears in journals such as Journal of Computational Physics, SIAM Journal on Scientific Computing and Computational Mechanics.
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.