| Selecting good views of high‐dimensional data using class consistency M Sips, B Neubert, JP Lewis, P Hanrahan Computer Graphics Forum 28 (3), 831-838, 2009 | 235 | 2009 |
| Recmap: Rectangular map approximations R Heilmann, DA Keim, C Panse, M Sips IEEE Symposium on Information Visualization, 33-40, 2004 | 129 | 2004 |
| Visual data mining in large geospatial point sets DA Keim, C Panse, M Sips, SC North IEEE Computer Graphics and Applications 24 (5), 36-44, 2004 | 127 | 2004 |
| CircleView: a new approach for visualizing time-related multidimensional data sets DA Keim, J Schneidewind, M Sips Proceedings of the working conference on Advanced visual interfaces, 179-182, 2004 | 122 | 2004 |
| Information visualization: Scope, techniques and opportunities for geovisualization DA Keim Exploring geovisualization, 21-52, 2005 | 107 | 2005 |
| Pixel based visual data mining of geo-spatial data DA Keim, C Panse, M Sips, SC North Computers & Graphics 28 (3), 327-344, 2004 | 84 | 2004 |
| Visual data mining techniques DA Keim, MO Ward | 69 | 2002 |
| Pixnostics: Towards measuring the value of visualization J Schneidewind, M Sips, DA Keim 2006 IEEE Symposium On Visual Analytics Science And Technology, 199-206, 2006 | 62 | 2006 |
| Perceptually driven visibility optimization for categorical data visualization S Lee, M Sips, HP Seidel IEEE Transactions on visualization and computer graphics 19 (10), 1746-1757, 2012 | 61 | 2012 |
| A visual analytics approach to multiscale exploration of environmental time series M Sips, P Köthur, A Unger, HC Hege, D Dransch IEEE Transactions on Visualization and Computer Graphics 18 (12), 2899-2907, 2012 | 53 | 2012 |
| Visualization of geo-spatial point sets via global shape transformation and local pixel placement C Panse, M Sips, D Keim, S North IEEE Transactions on Visualization and Computer Graphics 12 (5), 749-756, 2006 | 48 | 2006 |
| PyRQA—Conducting recurrence quantification analysis on very long time series efficiently T Rawald, M Sips, N Marwan Computers & Geosciences 104, 101-108, 2017 | 46 | 2017 |
| Pixelmaps: A new visual data mining approach for analyzing large spatial data sets DA Keim, C Panse, M Sips, SC North Third IEEE International Conference on Data Mining, 565-568, 2003 | 41 | 2003 |
| Pixelmaps: A new visual data mining approach for analyzing large spatial data sets DA Keim, C Panse, M Sips, SC North Third IEEE International Conference on Data Mining, 565-568, 2003 | 41 | 2003 |
| Visual analytics for comparison of ocean model output with reference data: Detecting and analyzing geophysical processes using clustering ensembles P Köthur, M Sips, H Dobslaw, D Dransch IEEE transactions on visualization and computer graphics 20 (12), 1893-1902, 2014 | 36 | 2014 |
| Pushing the limit in visual data exploration: Techniques and applications DA Keim, C Panse, J Schneidewind, M Sips, MC Hao, U Dayal KI 2003: Advances in Artificial Intelligence: 26th Annual German Conference …, 2003 | 34 | 2003 |
| Data-driven surrogate model approach for improving the performance of reactive transport simulations J Jatnieks, M De Lucia, D Dransch, M Sips Energy Procedia 97, 447-453, 2016 | 30 | 2016 |
| Visual analytics for correlation‐based comparison of time series ensembles P Köthur, C Witt, M Sips, N Marwan, S Schinkel, D Dransch Computer Graphics Forum 34 (3), 411-420, 2015 | 30 | 2015 |
| Fp-viz: Visual frequent pattern mining DA Keim, J Schneidewind, M Sips | 29 | 2005 |
| Interactive visual summaries for detection and assessment of spatiotemporal patterns in geospatial time series P Köthur, M Sips, A Unger, J Kuhlmann, D Dransch Information Visualization 13 (3), 283-298, 2014 | 28 | 2014 |
