Martin Hanke
- Mathematical Physics top 0.05%
- Biomedical Engineering top 1%
- Computational Mechanics top 0.5%
- Mechanics of Materials top 0.5%
- Computational Theory and Mathematics top 0.5%
- Co-authors
- Andreas B. NeubauerHeinz W. EnglOtmar ScherzerJames G. NagyC. W. GroetschCurtis R. VogelToomas RausNuutti Hyvönen
- Topics
- Numerical methods in inverse problems (63 papers)Microwave Imaging and Scattering Analysis (33 papers)Electrical and Bioimpedance Tomography (21 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Martin Hanke
102 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Mathematical Physics 4.1k
- Biomedical Engineering 1.6k
- Computational Mechanics 1.5k
- Mechanics of Materials 1.3k
- Computational Theory and Mathematics 1.0k
Countries citing papers authored by Martin Hanke
This map shows the geographic impact of Martin Hanke'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 Hanke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Hanke more than expected).
Fields of papers citing papers by Martin Hanke
This network shows the impact of papers produced by Martin Hanke. 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 Hanke. The network helps show where Martin Hanke may publish in the future.
Co-authorship network of co-authors of Martin Hanke
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Hanke. A scholar is included among the top collaborators of Martin Hanke 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 Hanke. Martin Hanke 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 | 0 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 4 | |
| 7 | Hybrid procedure for treatment of thoracoabdominal aortic aneurysms (TAAA). Initial experience in a high-risk population | 1 |
| 8 | 4 | |
| 9 | 56 | |
| 10 | 97 | |
| 11 | 7 | |
| 12 | 57 | |
| 13 | 22 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 23 | |
| 17 | 4 | |
| 18 | A CHEBYSHEV-LIKE SEMIITERATION FOR INCONSISTENT LINEAR SYSTEMS | 21 |
| 19 | 7 | |
| 20 | 44 |
About Martin Hanke
Martin Hanke is a scholar working on Mathematical Physics, Numerical Analysis and Computational Theory and Mathematics, having authored 107 papers that have together received 6.9k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (63 papers), Microwave Imaging and Scattering Analysis (33 papers) and Electrical and Bioimpedance Tomography (21 papers). The work is most often cited by research in Mathematical Physics (4.1k citations), Numerical Analysis (581 citations) and Applied Mathematics (979 citations). Martin Hanke has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Andreas B. Neubauer, Heinz W. Engl, Otmar Scherzer, James G. Nagy, C. W. Groetsch, Curtis R. Vogel, Toomas Raus, Nuutti Hyvönen, Michael Vogelius and Friederike Schmid. Their work appears in journals such as Journal of the American Chemical Society, JAMA and Journal of Biological Chemistry.
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.