Kai Bürger
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Computational Mechanics top 10%
- Astronomy and Astrophysics top 10%
- Artificial Intelligence
- Co-authors
- Rüdiger WestermannFlorian FerstlCharles MeneveauHolger TheiselAlexander S. SzalayJens KrügerHussein AluieCristian C. Lalescu
- Topics
- Computer Graphics and Visualization Techniques (10 papers)3D Shape Modeling and Analysis (6 papers)Data Visualization and Analytics (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mathematics
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Kai Bürger
25 papers receiving 462 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 185
- Computer Graphics and Computer-Aided Design 172
- Computational Mechanics 122
- Astronomy and Astrophysics 92
- Artificial Intelligence 37
Countries citing papers authored by Kai Bürger
This map shows the geographic impact of Kai Bürger'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 Kai Bürger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Bürger more than expected).
Fields of papers citing papers by Kai Bürger
This network shows the impact of papers produced by Kai Bürger. 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 Kai Bürger. The network helps show where Kai Bürger may publish in the future.
Co-authorship network of co-authors of Kai Bürger
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Bürger. A scholar is included among the top collaborators of Kai Bürger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai Bürger. Kai Bürger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 79 | |
| 2 | 110 | |
| 3 | 25 | |
| 4 | 28 | |
| 5 | 12 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 22 | |
| 9 | 36 | |
| 10 | Interpolating and Downsampling RGBA Volume Data | 11 |
| 11 | 32 | |
| 12 | 26 | |
| 13 | GPU Rendering of Secondary Effects | 4 |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 17 | |
| 17 | 11 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 3 |
About Kai Bürger
Kai Bürger is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 481 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (10 papers), 3D Shape Modeling and Analysis (6 papers) and Data Visualization and Analytics (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (172 citations), Computer Vision and Pattern Recognition (185 citations) and Computational Mathematics (5 citations). Kai Bürger has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Rüdiger Westermann, Florian Ferstl, Charles Meneveau, Holger Theisel, Alexander S. Szalay, Jens Krüger, Hussein Aluie, Cristian C. Lalescu, Kalin Kanov and Randal Burns. Their work appears in journals such as Nature, Journal of Applied Crystallography and Journal of Physics Condensed Matter.
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.