Michael Maisl
- Radiation top 5%
- Advanced X-ray Imaging Techniques 7
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- Medical Imaging Techniques and Applications 14
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- Advanced X-ray and CT Imaging 11
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- Medical Image Segmentation Techniques 5
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- Electron and X-Ray Spectroscopy Techniques 4
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- Integrated Circuits and Semiconductor Failure Analysis 3
- Electrical and Bioimpedance Tomography 2
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- Composite Material Mechanics 3
- Co-authors
- H. ReiterJochen HillerLeonhard ReindlW. ArnoldM. KröningPrabhat MunshiHans‐Georg HerrmannMarkus Stommel
- Journals
- Measurement Science and Technology (3 papers)Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms (3 papers)NDT & E International (2 papers)
- Partner nations
- GermanyIndiaSwitzerland
In The Last Decade
Michael Maisl
23 papers receiving 358 citations
Peers
Comparison fields: 5 of 61
- Radiation 102
- Structural Biology 10
- Radiology, Nuclear Medicine and Imaging 157
- Biomedical Engineering 196
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Michael Maisl
This map shows the geographic impact of Michael Maisl'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 Michael Maisl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Maisl more than expected).
Fields of papers citing papers by Michael Maisl
This network shows the impact of papers produced by Michael Maisl. 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 Michael Maisl. The network helps show where Michael Maisl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Maisl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 0 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 12 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 10 | |
| 8 | 2019 | 19 | |
| 9 | 2017 | 4 | |
| 10 | 2016 | 2 | |
| 11 | 2016 | 30 | |
| 12 | 2013 | 8 | |
| 13 | 2013 | 16 | |
| 14 | 2012 | 90 | |
| 15 | 2007 | 12 | |
| 16 | Experimental aspects of the approximate error formula for tomographic reconstruction | 1997 | 18 |
| 17 | 1996 | 44 | |
| 18 | 1995 | 4 | |
| 19 | 1994 | 2 | |
| 20 | 1994 | 1 |
About Michael Maisl
Michael Maisl is a scholar working on Structural Biology, Radiation, Radiology, Nuclear Medicine and Imaging, Surfaces, Coatings and Films and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 381 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (14 papers), Advanced X-ray and CT Imaging (11 papers), Advanced X-ray Imaging Techniques (7 papers), Medical Image Segmentation Techniques (5 papers), Electron and X-Ray Spectroscopy Techniques (4 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers), Composite Material Mechanics (3 papers) and Electrical and Bioimpedance Tomography (2 papers). The work is most often cited by research in Radiation (102 citations), Structural Biology (10 citations), Radiology, Nuclear Medicine and Imaging (157 citations), Biomedical Engineering (196 citations) and Computer Vision and Pattern Recognition (61 citations). Michael Maisl has collaborated with scholars based in Germany, India and Switzerland. Frequent co-authors include H. Reiter, Jochen Hiller, Leonhard Reindl, W. Arnold, M. Kröning, Prabhat Munshi, Hans‐Georg Herrmann, Markus Stommel, Manish Kumar Bajpai and Simon Zabler. Their work appears in journals such as Measurement Science and Technology, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, NDT & E International, Composite Structures and Applied Physics Letters.
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.