| MotionRugs: Visualizing collective trends in space and time J Buchmüller, D Jäckle, E Cakmak, U Brandes, DA Keim IEEE transactions on visualization and computer graphics 25 (1), 76-86, 2018 | 40 | 2018 |
| Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs E Cakmak, U Schlegel, D Jäckle, D Keim, T Schreck IEEE Transactions on Visualization and Computer Graphics 27 (2), 517-527, 2020 | 16 | 2020 |
| Visual Comparison of Language Model Adaptation R Sevastjanova, E Cakmak, S Ravfogel, R Cotterell, M El-Assady IEEE Transactions on Visualization and Computer Graphics 29 (1), 1178-1188, 2022 | 14 | 2022 |
| Spatio-temporal clustering benchmark for collective animal behavior E Cakmak, M Plank, DS Calovi, A Jordan, D Keim Proceedings of the 1st ACM SIGSPATIAL International Workshop on Animal …, 2021 | 12 | 2021 |
| VulnEx: Exploring Open-Source Software Vulnerabilities in Large Development Organizations to Understand Risk Exposure FL Dennig, E Cakmak, H Plate, DA Keim 2021 IEEE Symposium on Visualization for Cyber Security (VizSec), 79-83, 2021 | 9 | 2021 |
| Multiscale visualization: A structured literature analysis E Cakmak, D Jäckle, T Schreck, DA Keim, J Fuchs IEEE Transactions on Visualization and Computer Graphics 28 (12), 4918-4929, 2021 | 8 | 2021 |
| MotionGlyphs: Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior E Cakmak, H Schäfer, J Buchmüller, J Fuchs, T Schreck, A Jordan, ... | 8 | 2020 |
| dg2pix: Pixel-Based Visual Analysis of Dynamic Graphs E Cakmak, D Jäckle, T Schreck, D Keim 2020 IEEE Visualization in Data Science (VDS) 1, 32-41, 2020 | 7 | 2020 |
| SpatialRugs: A compact visualization of space and time for analyzing collective movement data JF Buchmüller, U Schlegel, E Cakmak, DA Keim, E Dimara Computers & Graphics 101, 23-34, 2021 | 6 | 2021 |
| SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations JF Buchmüller, U Schlegel, E Cakmak, E Dimara, DA Keim arXiv preprint arXiv:2003.12282, 2020 | 6 | 2020 |
| Towards visual debugging for multi-target time series classification U Schlegel, E Cakmak, H Arnout, M El-Assady, D Oelke, DA Keim Proceedings of the 25th International Conference on Intelligent User …, 2020 | 6 | 2020 |
| Motif-Based Visual Analysis of Dynamic Networks E Cakmak, J Fuchs, D Jäckle, T Schreck, U Brandes, D Keim 2022 IEEE Visualization in Data Science (VDS), 17-26, 2022 | 5 | 2022 |
| ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods U Schlegel, E Cakmak, DA Keim International Workshop on Machine Learning in Visualisation for Big Data …, 2020 | 5 | 2020 |
| G-Rap: Interactive text synthesis using recurrent neural network suggestions U Schlegel, E Cakmak, J Buchmüller, DA Keim European Symposium on Artificial Neural Networks, Computational Intelligence …, 2018 | 5 | 2018 |
| Time Series Projection to Highlight Trends and Outliers E Cakmak, D Seebacher, J Buchmüller, DA Keim 2018 IEEE Conference on Visual Analytics Science and Technology (VAST), 104-105, 2018 | 4 | 2018 |
| Visual Analytics for Supporting Conflict Resolution in Large Railway Networks U Schlegel, W Jentner, J Buchmueller, E Cakmak, G Castiglia, R Canepa, ... INNS Big Data and Deep Learning conference, 206-215, 2019 | 3 | 2019 |
| Applying visual analytics to explore and analyze movement data E Cakmak, A Gärtner, T Hepp, J Buchmüller, F Fischer, DA Keim 2015 IEEE Conference on Visual Analytics Science and Technology (VAST), 127-128, 2015 | 3 | 2015 |
| Visualisierung der COVID-19-Inzidenzen und Behandlungskapazitäten mit CoronaVis W Jentner, F Sperrle, D Seebacher, M Kraus, R Sevastjanova, MT Fischer, ... | 2 | 2022 |
| Interactive Classification Using Spectrograms and Audio Glyphs E Cakmak, U Schlegel, M Miller, J Buchmüller, W Jentner, DA Keim 2018 IEEE Conference on Visual Analytics Science and Technology (VAST), 110-111, 2018 | 2 | 2018 |
| Identifying Patterns and Anomalies within Spatiotemporal Water Sampling Data I Piljek, G Dehn, J Frauendorf, Z Salem, Y Niyazbayev, J Buchmüller, ... 2018 IEEE Conference on Visual Analytics Science and Technology (VAST), 98-99, 2018 | 2 | 2018 |
Daniel KeimProfessor of Computer Science, Data Analysis and Visualization, University of KonstanzVerified email at uni-konstanz.de
