Michael Maisl

23 papers receiving 358 citations

Peers

Michael Maisl
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
Replace Randolf Hanke with:
Randolf Hanke Germany
Theobald Fuchs Germany
Martin Börner Germany
Tine Celcer Slovenia
Frank Welkenhuyzen Belgium
Kim Kiekens Belgium
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Citations per year

Countries citing papers authored by Michael Maisl

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Michael Maisl Line = papers co-authored together Michael Maisl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201290
2 199984
3 199644
4 201630
5 201919
6
Experimental aspects of the approximate error formula for tomographic reconstruction
199718
7 201316
8 202112
9 200712
10 202010
11 20138
12 20168
13 20236
14 20174
15 19954
16 19964
17 19903
18 20202
19 20162
20 19942

About Michael Maisl

Michael Maisl is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, 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), Composite Material Mechanics (3 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers) and Non-Destructive Testing Techniques (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, Phalguni Gupta and Manish Kumar Bajpai. 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.

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