M. Rump
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Image Enhancement Techniques
- Optical measurement and interference techniques
Papers in
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- Advanced Vision and Imaging 6
- Image Enhancement Techniques 5
- Medical Image Segmentation Techniques 1
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- Computer Graphics and Visualization Techniques 9
- Co-authors
- Reinhard Klein (11 shared papers)Ralf Sarlette (4 shared papers)Arno Zinke (4 shared papers)Gero Müller (1 shared paper)Dirk Koch (1 shared paper)Michael Weinmann (1 shared paper)Andreas Weber⋆ (2 shared papers)
- Journals
- Computer Graphics Forum (3 papers)ACM Transactions on Graphics (2 papers)Sensors (1 paper)Vision Modeling and Visualization (1 paper)Eurographics (1 paper)
- Partner nations
- Germany
In The Last Decade
M. Rump
11 papers receiving 154 citations
Peers
Comparison fields: 5 of 31
- Computer Graphics and Computer-Aided Design 100
- Computer Vision and Pattern Recognition 105
- Computational Mechanics 64
- Geology 17
- Space and Planetary Science 3
Countries citing papers authored by M. Rump
This map shows the geographic impact of M. Rump'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. Rump with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Rump more than expected).
Fields of papers citing papers by M. Rump
This network shows the impact of papers produced by M. Rump. 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. Rump. The network helps show where M. Rump may publish in the future.
Co-authors
The 7 scholars most cited alongside M. Rump, 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 | 2008 | 47 | |
| 2 | 2014 | 35 | |
| 3 | 2011 | 15 | |
| 4 | 2009 | 15 | |
| 5 | 2011 | 12 | |
| 6 | 2010 | 10 | |
| 7 | 2010 | 7 | |
| 8 | Efficient Resampling, Compression and Rendering of Metallic and Pearlescent Paint. | 2009 | 6 |
| 9 | 2009 | 6 | |
| 10 | 2009 | 6 | |
| 11 | 2019 | 4 |
About M. Rump
M. Rump is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Atomic and Molecular Physics, and Optics, Computational Mechanics and Aerospace Engineering, having authored 11 papers that have together received 163 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (9 papers), Advanced Vision and Imaging (6 papers), Image Enhancement Techniques (5 papers), Color Science and Applications (5 papers), Infrared Target Detection Methodologies (2 papers), 3D Shape Modeling and Analysis (1 paper), Industrial Vision Systems and Defect Detection (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (100 citations), Computer Vision and Pattern Recognition (105 citations), Computational Mechanics (64 citations), Geology (17 citations) and Space and Planetary Science (3 citations). M. Rump has collaborated with scholars based in Germany. Frequent co-authors include Reinhard Klein, Ralf Sarlette, Arno Zinke, Gero Müller, Dirk Koch, Michael Weinmann and Andreas Weber⋆. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, Sensors, Vision Modeling and Visualization and Eurographics.
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.