Ulrike Kister
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Cognitive Neuroscience
- Computer Graphics and Computer-Aided Design top 5%
- Artificial Intelligence
- Co-authors
- Raimund DachseltChristian TominskiHeidrun SchumannRicardo LangnerPatrick ReipschlägerFabrice MatulicWolfgang BüschelJuan David Hincapié-Ramos
- Topics
- Interactive and Immersive Displays (10 papers)Data Visualization and Analytics (8 papers)Tactile and Sensory Interactions (3 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Visualization and Computer GraphicsComputer Graphics ForumEurographics
In The Last Decade
Ulrike Kister
13 papers receiving 320 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 270
- Human-Computer Interaction 170
- Cognitive Neuroscience 44
- Computer Graphics and Computer-Aided Design 38
- Artificial Intelligence 37
Countries citing papers authored by Ulrike Kister
This map shows the geographic impact of Ulrike Kister'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 Ulrike Kister with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrike Kister more than expected).
Fields of papers citing papers by Ulrike Kister
This network shows the impact of papers produced by Ulrike Kister. 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 Ulrike Kister. The network helps show where Ulrike Kister may publish in the future.
Co-authorship network of co-authors of Ulrike Kister
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Kister. A scholar is included among the top collaborators of Ulrike Kister 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 Ulrike Kister. Ulrike Kister is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 47 | |
| 3 | 8 | |
| 4 | 90 | |
| 5 | 1 | |
| 6 | 40 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 52 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 5 |
About Ulrike Kister
Ulrike Kister is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 331 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (10 papers), Data Visualization and Analytics (8 papers) and Tactile and Sensory Interactions (3 papers). The work is most often cited by research in Human-Computer Interaction (170 citations), Computer Vision and Pattern Recognition (270 citations) and Computer Graphics and Computer-Aided Design (38 citations). Ulrike Kister has collaborated with scholars based in Germany and Canada. Frequent co-authors include Raimund Dachselt, Christian Tominski, Heidrun Schumann, Ricardo Langner, Patrick Reipschläger, Fabrice Matulic, Wolfgang Büschel, Juan David Hincapié-Ramos, Pourang Irani and Mathias Frisch. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum 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.