M. Bomans
Impact in
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- Computer Graphics and Visualization Techniques
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Digital Image Processing Techniques
- Advanced Vision and Imaging
Papers in
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- Medical Image Segmentation Techniques 8
- Digital Image Processing Techniques 2
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- Computer Graphics and Visualization Techniques 7
- Co-authors
- U. Tiede (12 shared papers)Martin Riemer (10 shared papers)Κ. H. Höhne (8 shared papers)A. Pommert (9 shared papers)G. Wiebecke (3 shared papers)K. H. Hoehne (1 shared paper)Rainer Schubert (3 shared papers)W. Lierse (3 shared papers)
- Journals
- IEEE Computer Graphics and Applications (2 papers)IEEE Transactions on Medical Imaging (1 paper)The Visual Computer (1 paper)Magnetic Resonance Imaging (1 paper)Computerized Medical Imaging and Graphics (1 paper)
- Partner nations
- Germany
In The Last Decade
M. Bomans
13 papers receiving 621 citations
Peers
Comparison fields: 5 of 74
- Computer Graphics and Computer-Aided Design 269
- Computer Vision and Pattern Recognition 452
- Computational Mechanics 207
- Radiology, Nuclear Medicine and Imaging 177
- Biophysics 22
Countries citing papers authored by M. Bomans
This map shows the geographic impact of M. Bomans'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 M. Bomans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Bomans more than expected).
Fields of papers citing papers by M. Bomans
This network shows the impact of papers produced by M. Bomans. 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 M. Bomans. The network helps show where M. Bomans may publish in the future.
Co-authors
The 11 scholars most cited alongside M. Bomans, 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 | 1990 | 201 | |
| 2 | 1990 | 168 | |
| 3 | 1990 | 100 | |
| 4 | 1992 | 72 | |
| 5 | 1996 | 39 | |
| 6 | 1991 | 26 | |
| 7 | 1988 | 19 | |
| 8 | 1992 | 14 | |
| 9 | 1989 | 12 | |
| 10 | Volume Visualization in Magnetic Resonance Angiography | 1992 | 9 |
| 11 | 1993 | 6 | |
| 12 | 1993 | 4 | |
| 13 | 2003 | 1 |
About M. Bomans
M. Bomans is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 671 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Computer Graphics and Visualization Techniques (7 papers), 3D Shape Modeling and Analysis (5 papers), Anatomy and Medical Technology (4 papers), Medical Imaging Techniques and Applications (2 papers), Digital Image Processing Techniques (2 papers), Hermeneutics and Narrative Identity (1 paper) and Advanced Image Fusion Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (269 citations), Computer Vision and Pattern Recognition (452 citations), Computational Mechanics (207 citations), Radiology, Nuclear Medicine and Imaging (177 citations) and Biophysics (22 citations). M. Bomans has collaborated with scholars based in Germany. Frequent co-authors include U. Tiede, Martin Riemer, Κ. H. Höhne, A. Pommert, G. Wiebecke, K. H. Hoehne, Rainer Schubert, W. Lierse, Th. Schiemann and Gerhard Laub. Their work appears in journals such as IEEE Computer Graphics and Applications, IEEE Transactions on Medical Imaging, The Visual Computer, Magnetic Resonance Imaging and Computerized Medical Imaging and Graphics.
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.