| Bring it to the pitch: Combining video and movement data to enhance team sport analysis M Stein, H Janetzko, A Lamprecht, T Breitkreutz, P Zimmermann, ... IEEE transactions on visualization and computer graphics 24 (1), 13-22, 2017 | 198 | 2017 |
| Feature-driven visual analytics of soccer data D Sacha, M Stein, T Schreck, DA Keim, O Deussen 2014 IEEE conference on visual analytics science and technology (VAST), 13-22, 2014 | 123 | 2014 |
| How to make sense of team sport data: From acquisition to data modeling and research aspects M Stein, H Janetzko, D Seebacher, A Jäger, M Nagel, J Hölsch, S Kosub, ... Data 2 (1), 2, 2017 | 109 | 2017 |
| Director’s Cut: Analysis and Annotation of Soccer Matches M Stein, H Janetzko, T Breitkreutz, D Seebacher, T Schreck, ... IEEE Computer Graphics and Applications 36, 50-60, 2016 | 78 | 2016 |
| 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 | 54 | 2015 |
| Dynamic visual abstraction of soccer movement D Sacha, F Al‐Masoudi, M Stein, T Schreck, DA Keim, G Andrienko, ... Computer Graphics Forum 36 (3), 305-315, 2017 | 53 | 2017 |
| Visual-interactive search for soccer trajectories to identify interesting game situations L Shao, D Sacha, B Neldner, M Stein, T Schreck Electronic Imaging 2016 (1), 1-10, 2016 | 42 | 2016 |
| Enhancing parallel coordinates: Statistical visualizations for analyzing soccer data H Janetzko, M Stein, D Sacha, T Schreck Electronic Imaging 2016 (1), 1-8, 2016 | 33 | 2016 |
| Revealing the invisible: Visual analytics and explanatory storytelling for advanced team sport analysis M Stein, T Breitkreutz, J Haussler, D Seebacher, C Niederberger, ... 2018 International Symposium on Big Data Visual and Immersive Analytics …, 2018 | 28 | 2018 |
| Video-based analysis of soccer matches MT Fischer, DA Keim, M Stein Proceedings Proceedings of the 2nd International Workshop on Multimedia …, 2019 | 25 | 2019 |
| From game events to team tactics: Visual analysis of dangerous situations in multi-match data M Stein, H Janetzko, A Lamprecht, D Seebacher, T Schreck, D Keim, ... 2016 1st International Conference on Technology and Innovation in Sports …, 2016 | 17 | 2016 |
| Predictive visual analytics: Approaches for movie ratings and discussion of open research challenges M El-Assady, W Jentner, M Stein, F Fischer, T Schreck, DA Keim | 17 | 2014 |
| Visual analysis of spatio-temporal event predictions: Investigating the spread dynamics of invasive species D Seebacher, J Häußler, M Hundt, M Stein, H Müller, U Engelke, DA Keim IEEE Transactions on Big Data 7 (3), 497-509, 2018 | 16 | 2018 |
| Tackling similarity search for soccer match analysis: multimodal distance measure and interactive query definition M Stein, H Janetzko, T Schreck, DA Keim IEEE computer graphics and applications 39 (5), 60-71, 2019 | 15 | 2019 |
| Biggis: a continuous refinement approach to master heterogeneity and uncertainty in spatio-temporal big data (vision paper) P Wiener, M Stein, D Seebacher, J Bruns, M Frank, V Simko, S Zander, ... Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances …, 2016 | 15 | 2016 |
| Where to go: Computational and visual what-if analyses in soccer M Stein, D Seebacher, R Marcelino, T Schreck, M Grossniklaus, DA Keim, ... Journal of sports sciences 37 (24), 2774-2782, 2019 | 14 | 2019 |
| Investigating the Sketchplan: A novel way of identifying tactical behavior in massive soccer datasets D Seebacher, T Polk, H Janetzko, DA Keim, T Schreck, M Stein IEEE Transactions on Visualization and Computer Graphics 29 (4), 1920-1936, 2021 | 11 | 2021 |
| From movement to events: Improving soccer match annotations M Stein, D Seebacher, T Karge, T Polk, M Grossniklaus, DA Keim MultiMedia Modeling: 25th International Conference, MMM 2019, Thessaloniki …, 2019 | 9 | 2019 |
| 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 | 8 | 2018 |
| 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 Similarity Search and Applications: 10th International Conference, SISAP …, 2017 | 8 | 2017 |
Daniel KeimProfessor of Computer Science, Data Analysis and Visualization, University of KonstanzBestätigte E-Mail-Adresse bei uni-konstanz.de
