Roland Griesmaier
- Mathematical Physics top 5%
- Biomedical Engineering
- Mechanics of Materials top 10%
- Electrical and Electronic Engineering
- Computational Mechanics top 10%
- Co-authors
- Peter MonkMartin HankeJohn SylvesterHabib AmmariThorsten RaaschNuutti HyvönenMichael VogeliusYves Capdeboscq
- Topics
- Numerical methods in inverse problems (23 papers)Microwave Imaging and Scattering Analysis (21 papers)Ultrasonics and Acoustic Wave Propagation (10 papers)
- Journals
- Journal of Computational PhysicsMathematics of ComputationSIAM Journal on Numerical Analysis
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Roland Griesmaier
29 papers receiving 331 citations
Peers
Comparison fields: 5 of 28
- Mathematical Physics 227
- Biomedical Engineering 214
- Mechanics of Materials 160
- Electrical and Electronic Engineering 97
- Computational Mechanics 73
Countries citing papers authored by Roland Griesmaier
This map shows the geographic impact of Roland Griesmaier'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 Roland Griesmaier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland Griesmaier more than expected).
Fields of papers citing papers by Roland Griesmaier
This network shows the impact of papers produced by Roland Griesmaier. 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 Roland Griesmaier. The network helps show where Roland Griesmaier may publish in the future.
Co-authorship network of co-authors of Roland Griesmaier
This figure shows the co-authorship network connecting the top 25 collaborators of Roland Griesmaier. A scholar is included among the top collaborators of Roland Griesmaier 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 Roland Griesmaier. Roland Griesmaier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 13 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 6 | |
| 14 | 68 | |
| 15 | 14 | |
| 16 | 52 | |
| 17 | 3 | |
| 18 | Detection of small buried objects: asymptotic factorization and MUSIC | 3 |
| 19 | 25 | |
| 20 | 32 |
About Roland Griesmaier
Roland Griesmaier is a scholar working on Mathematical Physics, Biomedical Engineering and Mechanics of Materials, having authored 30 papers that have together received 378 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (23 papers), Microwave Imaging and Scattering Analysis (21 papers) and Ultrasonics and Acoustic Wave Propagation (10 papers). The work is most often cited by research in Mathematical Physics (227 citations), Mechanics of Materials (160 citations) and Biomedical Engineering (214 citations). Roland Griesmaier has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Peter Monk, Martin Hanke, John Sylvester, Habib Ammari, Thorsten Raasch, Nuutti Hyvönen, Michael Vogelius, Yves Capdeboscq, Tilo Arens and Ivan Fernandez‐Corbaton. Their work appears in journals such as Journal of Computational Physics, Mathematics of Computation and SIAM Journal on Numerical Analysis.
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.