| Visual soccer analytics: Understanding the characteristics of collective team movement based on feature-driven analysis and abstraction M Stein, J Häußler, D Jäckle, H Janetzko, T Schreck, DA Keim ISPRS International Journal of Geo-Information 4 (4), 2159-2184, 2015 | 22 | 2015 |
| Visual analysis of spatio-temporal event predictions: Investigating the spread dynamics of invasive species D Seebacher, J Häuäler, M Hundt, M Stein, H Müller, U Engelke, D Keim IEEE Transactions on Big Data, 2018 | 6 | 2018 |
| Analyzing Visual Mappings of Traditional and Alternative Music Notation M Miller, J Häußler, M Kraus, D Keim, M El-Assady arXiv preprint arXiv:1810.10814, 2018 | 3 | 2018 |
| Visual analysis of urban traffic data based on high-resolution and high-dimensional environmental sensor data J Häußler, M Stein, D Seebacher, H Janetzko, T Schreck, DA Keim EnvirVis 2018: Workshop on Visualisation in Environmental Sciences, 2018 | 1 | 2018 |
| CourtTime: Generating Actionable Insights into Tennis Matches Using Visual Analytics T Polk, D Jäckle, J Häußler, J Yang IEEE Transactions on Visualization and Computer Graphics 26 (1), 397-406, 2019 | | 2019 |
| Visual Analytics and Similarity Search: Concepts and Challenges for Effective Retrieval Considering Users, Tasks, and Data D Seebacher, J Häußler, M Stein, H Janetzko, T Schreck, DA Keim International Conference on Similarity Search and Applications, 324-332, 2017 | | 2017 |
| Visual Soccer Analytics M Stein, J Häußler, D Jäckle, H Janetzko, T Schreck, DA Keim, Y Dubois | | 2017 |
| Outlook for Visual Analytics Research Funding J Thomas, D Keim, J Kielman, L Rosenblum 2007 IEEE Symposium on Visual Analytics Science and Technology, 227-227, 2007 | | 2007 |
| Data Mining und Data Warehousing. DA Keim, W Lehner Datenbank-Spektrum 9, 5, 2004 | | 2004 |
| 2017 IEEE Visualization in Data Science (VDS) D Seebacher, J Häußler, M Hundt, M Stein, H Mülller, U Engelke, ... | | |
