| State-of-the-art of visualization for eye tracking data. T Blascheck, K Kurzhals, M Raschke, M Burch, D Weiskopf, T Ertl EuroVis (STARs), 2014 | 332 | 2014 |
| A taxonomy and survey of dynamic graph visualization F Beck, M Burch, S Diehl, D Weiskopf Computer graphics forum 36 (1), 133-159, 2017 | 287 | 2017 |
| The State of the Art in Visualizing Dynamic Graphs. F Beck, M Burch, S Diehl, D Weiskopf EuroVis (STARs), 2014 | 270 | 2014 |
| Visual analytics methodology for eye movement studies G Andrienko, N Andrienko, M Burch, D Weiskopf IEEE transactions on Visualization and Computer Graphics 18 (12), 2889-2898, 2012 | 246 | 2012 |
| Visualization of eye tracking data: A taxonomy and survey T Blascheck, K Kurzhals, M Raschke, M Burch, D Weiskopf, T Ertl Computer Graphics Forum 36 (8), 260-284, 2017 | 236 | 2017 |
| Parallel edge splatting for scalable dynamic graph visualization M Burch, C Vehlow, F Beck, S Diehl, D Weiskopf IEEE Transactions on Visualization and Computer Graphics 17 (12), 2344-2353, 2011 | 199 | 2011 |
| Evaluation of traditional, orthogonal, and radial tree diagrams by an eye tracking study M Burch, N Konevtsova, J Heinrich, M Höferlin, D Weiskopf IEEE Transactions on visualization and Computer Graphics 17 (12), 2440-2448, 2011 | 165 | 2011 |
| TimeRadarTrees: Visualizing dynamic compound digraphs M Burch, S Diehl Computer Graphics Forum 27 (3), 823-830, 2008 | 122 | 2008 |
| User performance and reading strategies for metro maps: An eye tracking study R Netzel, B Ohlhausen, K Kurzhals, R Woods, M Burch, D Weiskopf Spatial Cognition & Computation 17 (1-2), 39-64, 2017 | 111 | 2017 |
| Visualizing the evolution of compound digraphs with TimeArcTrees M Greilich, M Burch, S Diehl Computer Graphics Forum 28 (3), 975-982, 2009 | 101 | 2009 |
| Timeline trees: visualizing sequences of transactions in information hierarchies M Burch, F Beck, S Diehl Proceedings of the working conference on Advanced visual interfaces, 75-82, 2008 | 98 | 2008 |
| Uncovering strengths and weaknesses of radial visualizations---an empirical approach S Diehl, F Beck, M Burch IEEE Transactions on Visualization and Computer Graphics 16 (6), 935-942, 2010 | 95 | 2010 |
| Visual data mining in software archives M Burch, S Diehl, P Weißgerber Proceedings of the 2005 ACM symposium on Software visualization, 37-46, 2005 | 94 | 2005 |
| Concentri cloud: Word cloud visualization for multiple text documents S Lohmann, F Heimerl, F Bopp, M Burch, T Ertl 2015 19th International Conference on Information Visualisation, 114-120, 2015 | 92 | 2015 |
| AOI rivers for visualizing dynamic eye gaze frequencies M Burch, A Kull, D Weiskopf Computer Graphics Forum 32 (3pt3), 281-290, 2013 | 91 | 2013 |
| Radcloud: Visualizing multiple texts with merged word clouds M Burch, S Lohmann, F Beck, N Rodriguez, L Di Silvestro, D Weiskopf 2014 18th International Conference on Information Visualisation, 108-113, 2014 | 87 | 2014 |
| On the benefits and drawbacks of radial diagrams M Burch, D Weiskopf Handbook of human centric visualization, 429-451, 2014 | 84 | 2014 |
| On the benefits and drawbacks of radial diagrams M Burch, D Weiskopf Handbook of human centric visualization, 429-451, 2014 | 84 | 2014 |
| Gaze stripes: Image-based visualization of eye tracking data K Kurzhals, M Hlawatsch, F Heimerl, M Burch, T Ertl, D Weiskopf IEEE transactions on visualization and computer graphics 22 (1), 1005-1014, 2015 | 82 | 2015 |
| Towards an aesthetic dimensions framework for dynamic graph visualisations F Beck, M Burch, S Diehl 2009 13th international conference information visualisation, 592-597, 2009 | 81 | 2009 |
Daniel WeiskopfProfessor of Computer Science, University of StuttgartBestätigte E-Mail-Adresse bei visus.uni-stuttgart.de
