| Knowledge generation model for visual analytics D Sacha, A Stoffel, F Stoffel, BC Kwon, G Ellis, DA Keim IEEE transactions on visualization and computer graphics 20 (12), 1604-1613, 2014 | 513 | 2014 |
| Anomaly detection for visual analytics of power consumption data H Janetzko, F Stoffel, S Mittelstädt, DA Keim Computers & Graphics 38, 27-37, 2014 | 149 | 2014 |
| 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 | 82 | 2018 |
| Colorcat: Guided design of colormaps for combined analysis tasks S Mittelstädt, D Jäckle, F Stoffel, DA Keim | 61 | 2015 |
| Visual sentiment analysis of customer feedback streams using geo-temporal term associations MC Hao, C Rohrdantz, H Janetzko, DA Keim, U Dayal, LE Haug, M Hsu, ... Information Visualization 12 (3-4), 273-290, 2013 | 57 | 2013 |
| Visjockey: Enriching data stories through orchestrated interactive visualization BC Kwon, F Stoffel, D Jäckle, B Lee, D Keim Poster compendium of the computation+ journalism symposium 3, 3, 2014 | 41 | 2014 |
| Finding anomalies in time-series using visual correlation for interactive root cause analysis F Stoffel, F Fischer, DA Keim Proceedings of the Tenth Workshop on Visualization for Cyber Security, 65-72, 2013 | 31 | 2013 |
| Integrating data and model space in ensemble learning by visual analytics B Schneider, D Jäckle, F Stoffel, A Diehl, J Fuchs, D Keim IEEE Transactions on Big Data 7 (3), 483-496, 2018 | 26 | 2018 |
| Predictive policing in Germany K Seidensticker, F Bode, F Stoffel | 25 | 2018 |
| Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool W Jentner, D Sacha, F Stoffel, G Ellis, L Zhang, DA Keim The Visual Computer 34, 1225-1241, 2018 | 23 | 2018 |
| Minions, sheep, and fruits: Metaphorical narratives to explain artificial intelligence and build trust W Jentner, R Sevastjanova, F Stoffel, DA Keim, J Bernard, M El-Assady | 19 | 2018 |
| Variabilität und Validität von Qualitätsmetriken im Bereich von Predictive Policing F Bode, F Stoffel, DA Keim | 18 | 2017 |
| Visual integration of data and model space in ensemble learning B Schneider, D Jäckle, F Stoffel, A Diehl, J Fuchs, D Keim 2017 IEEE Visualization in Data Science (VDS), 15-22, 2017 | 15 | 2017 |
| Interactive ambiguity resolution of named entities in fictional literature F Stoffel, W Jentner, M Behrisch, J Fuchs, D Keim Computer Graphics Forum 36 (3), 189-200, 2017 | 15 | 2017 |
| Interpretation of dimensionally-reduced crime data: A study with untrained domain experts D Jäckle, F Stoffel, S Mittelstädt, DA Keim, H Reiterer International Conference on Information Visualization Theory and …, 2017 | 12 | 2017 |
| Visual analytics of terrorist activities related to epidemics E Bertini, J Buchmüller, F Fischer, S Huber, T Lindemeier, F Maaß, ... 2011 IEEE Conference on Visual Analytics Science and Technology (VAST), 329-330, 2011 | 12 | 2011 |
| Ambient Grids: Maintain Context-Awareness via Aggregated Off-Screen Visualization D Jäckle, F Stoffel, BC Kwon, D Sacha, A Stoffel, DA Keim | 10 | 2015 |
| Spherical similarity explorer for comparative case analysis L Zhang, C Rooney, L Nachmanson, W Wong, BC Kwon, F Stoffel, ... | 9 | 2016 |
| Qualitätsmetriken im Bereich Predictive Policing. Die Variabilität und Validität von Trefferraten F Stoffel, F Bode, D Keim Polizei & Wissenschaft 4, 2-15, 2017 | 8 | 2017 |
| Feature-based visual exploration of text classification F Stoffel, L Flekova, D Oelke, I Gurevych, DA Keim | 8 | 2015 |
Daniel KeimProfessor of Computer Science, Data Analysis and Visualization, University of KonstanzVerified email at uni-konstanz.de
