Katja Bühler
- Computer Vision and Pattern Recognition top 2%
- Computer Graphics and Computer-Aided Design top 0.5%
- Computational Mechanics top 5%
- Surgery
- Biomedical Engineering
- Co-authors
- Markus HadwigerStefan WolfsbergerR. WegenkittlChristian SiggAndré NeubauerMarkus GroßFlorian SchulzeJiřı́ Hladůvka
- Topics
- Computer Graphics and Visualization Techniques (16 papers)Data Visualization and Analytics (8 papers)3D Shape Modeling and Analysis (8 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionBiophysics
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Katja Bühler
67 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 535
- Computer Graphics and Computer-Aided Design 355
- Computational Mechanics 241
- Surgery 195
- Biomedical Engineering 188
Countries citing papers authored by Katja Bühler
This map shows the geographic impact of Katja Bühler'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 Katja Bühler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Bühler more than expected).
Fields of papers citing papers by Katja Bühler
This network shows the impact of papers produced by Katja Bühler. 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 Katja Bühler. The network helps show where Katja Bühler may publish in the future.
Co-authorship network of co-authors of Katja Bühler
This figure shows the co-authorship network connecting the top 25 collaborators of Katja Bühler. A scholar is included among the top collaborators of Katja Bühler 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 Katja Bühler. Katja Bühler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 19 | |
| 13 | Fast and memory efficient feature detection using multiresolution probabilistic boosting trees | 3 |
| 14 | 3 | |
| 15 | 86 | |
| 16 | INTERACTIVE DEFORMATION AND VISUALIZATION OF LARGE VOLUME DATASETS | 1 |
| 17 | 60 | |
| 18 | 34 | |
| 19 | 2 | |
| 20 | Canal surfaces and inversive geometry | 4 |
About Katja Bühler
Katja Bühler is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Biophysics, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (16 papers), Data Visualization and Analytics (8 papers) and 3D Shape Modeling and Analysis (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (355 citations), Computer Vision and Pattern Recognition (535 citations) and Biophysics (108 citations). Katja Bühler has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Markus Hadwiger, Stefan Wolfsberger, R. Wegenkittl, Christian Sigg, André Neubauer, Markus Groß, Florian Schulze, Jiřı́ Hladůvka, Johanna Beyer and P. Felkel. Their work appears in journals such as NeuroImage, Current Biology and IEEE Transactions on Medical Imaging.
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.