| Quality metrics for information visualization M Behrisch, M Blumenschein, NW Kim, L Shao, M El‐Assady, J Fuchs, ... Computer Graphics Forum 37 (3), 625-662, 2018 | 163 | 2018 |
| 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 | 117 | 2017 |
| Commercial visual analytics systems–advances in the big data analytics field M Behrisch, D Streeb, F Stoffel, D Seebacher, B Matejek, SH Weber, ... IEEE transactions on visualization and computer graphics 25 (10), 3011-3031, 2018 | 84 | 2018 |
| 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 (5), 50-60, 2016 | 81 | 2016 |
| An adaptive image-based plagiarism detection approach N Meuschke, C Gondek, D Seebacher, C Breitinger, D Keim, B Gipp Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries …, 2018 | 49 | 2018 |
| Ts-mule: Local interpretable model-agnostic explanations for time series forecast models U Schlegel, DL Vo, DA Keim, D Seebacher Joint European conference on machine learning and knowledge discovery in …, 2021 | 37 | 2021 |
| Towards a survey on static and dynamic hypergraph visualizations MT Fischer, A Frings, DA Keim, D Seebacher 2021 IEEE visualization conference (VIS), 81-85, 2021 | 36 | 2021 |
| Visual analytics for temporal hypergraph model exploration MT Fischer, D Arya, D Streeb, D Seebacher, DA Keim, M Worring IEEE Transactions on Visualization and Computer Graphics 27 (2), 550-560, 2020 | 35 | 2020 |
| 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 |
| 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 | 19 | 2018 |
| 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 | 18 | 2016 |
| Visual analytics of volunteered geographic information: Detection and investigation of urban heat islands D Seebacher, M Miller, T Polk, J Fuchs, DA Keim IEEE computer graphics and applications 39 (5), 83-95, 2019 | 17 | 2019 |
| 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 | 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 |
| CommAID: Visual analytics for communication analysis through interactive dynamics modeling MT Fischer, D Seebacher, R Sevastjanova, DA Keim, M El‐Assady Computer Graphics Forum 40 (3), 25-36, 2021 | 12 | 2021 |
| 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 |
| Multisegva: using visual analytics to segment biologging time series on multiple scales P Meschenmoser, JF Buchmüller, D Seebacher, M Wikelski, DA Keim IEEE Transactions on Visualization and Computer Graphics 27 (2), 1623-1633, 2020 | 11 | 2020 |
| ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions. E Haedecke, M Mock, M Akila EuroVA@ EuroVis, 1-5, 2022 | 9 | 2022 |
| 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 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 | 9 | 2017 |
Daniel KeimProfessor of Computer Science, Data Analysis and Visualization, University of KonstanzΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα uni-konstanz.de
