U. Diewald
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis
- Advanced Numerical Analysis Techniques
- Advanced Numerical Methods in Computational Mathematics
Papers in
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- Advanced Numerical Analysis Techniques 7
- 3D Shape Modeling and Analysis 6
- Advanced Numerical Methods in Computational Mathematics 1
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- Computer Graphics and Visualization Techniques 5
- Co-authors
- Martin Rumpf (8 shared papers)Ulrich Clarenz (3 shared papers)Tobias Preußer (2 shared papers)Gerhard Dziuk (1 shared paper)Serena Morigi (2 shared papers)Robert Strzodka (1 shared paper)
- Journals
- Computer Aided Geometric Design (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)IEEE Transactions on Image Processing (1 paper)Vision Modeling and Visualization (2 papers)
In The Last Decade
U. Diewald
8 papers receiving 398 citations
Peers
Comparison fields: 5 of 47
- Computer Graphics and Computer-Aided Design 275
- Computational Mechanics 357
- Computer Vision and Pattern Recognition 149
- Computational Theory and Mathematics 30
- Computational Mathematics 1
Countries citing papers authored by U. Diewald
This map shows the geographic impact of U. Diewald'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 U. Diewald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Diewald more than expected).
Fields of papers citing papers by U. Diewald
This network shows the impact of papers produced by U. Diewald. 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 U. Diewald. The network helps show where U. Diewald may publish in the future.
Co-authors
The 6 scholars most cited alongside U. Diewald, 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 | 2002 | 209 | |
| 2 | 2004 | 113 | |
| 3 | 2000 | 70 | |
| 4 | 2004 | 25 | |
| 5 | 2002 | 12 | |
| 6 | DIFFUSION MODELS AND THEIR ACCELERATED SOLUTION IN IMAGE AN D SURFACE PROCESSING | 2000 | 5 |
| 7 | Visualization of Principal Curvature Directions by Anisotropic Diffusion. | 2000 | 1 |
| 8 | On Geometric Evolution and Cascadic Multigrid in Subdivision | 2001 | 1 |
About U. Diewald
U. Diewald is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Mechanics of Materials and Mechanical Engineering, having authored 8 papers that have together received 436 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (7 papers), 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (5 papers), Medical Image Segmentation Techniques (2 papers), Numerical methods in engineering (1 paper), Manufacturing Process and Optimization (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper) and Tribology and Lubrication Engineering (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (275 citations), Computational Mechanics (357 citations), Computer Vision and Pattern Recognition (149 citations), Computational Theory and Mathematics (30 citations) and Computational Mathematics (1 citation). U. Diewald has collaborated with scholars based in Germany and Italy. Frequent co-authors include Martin Rumpf, Ulrich Clarenz, Tobias Preußer, Gerhard Dziuk, Serena Morigi and Robert Strzodka. Their work appears in journals such as Computer Aided Geometric Design, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Image Processing and Vision Modeling and Visualization.
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.