Jörn Schneidewind

	2008
21		Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Jim Thomas, Hartmut Ziegler: Visual Analytics: Scope and Challenges. Visual Data Mining 2008: 76-90
	2007
20		Jörn Schneidewind, Mike Sips, Daniel A. Keim: An automated approach for the optimization of pixel-based visualizations. Information Visualization 6(1): 75-88 (2007)
19		Mike Sips, Jörn Schneidewind, Daniel A. Keim: Highlighting space-time patterns: Effective visual encodings for interactive decision-making. International Journal of Geographical Information Science 21(8): 879-893 (2007)
18		Daniel A. Keim, Jörn Schneidewind: Introduction. SIGKDD Explorations 9(2): 3-4 (2007)
	2006
17		Daniel A. Keim, Tilo Nietzschmann, Norman Schelwies, Jörn Schneidewind, Tobias Schreck, Hartmut Ziegler: A Spectral Visualization System for Analyzing Financial Time Series Data. EuroVis 2006: 195-202
16		Mike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann: Scalable Pixel-based Visual Interfaces: Challenges and Solutions. IV 2006: 32-38
15		Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Hartmut Ziegler: Challenges in Visual Data Analysis. IV 2006: 9-16
14		Daniel A. Keim, Jörn Schneidewind, Mike Sips: Scalable Pixel Based Visual Data Exploration. VIEW 2006: 12-24
13		Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind: Business process impact visualization and anomaly detection. Information Visualization 5(1): 15-27 (2006)
	2005
12		Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind: VisBiz: A Business Process Visualization Case Study. EuroVis 2005: 109-116
11		Daniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips: Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. EuroVis 2005: 247-254
10		Daniel A. Keim, Jörn Schneidewind: Scalable Visual Data Exploration of Large Data Sets via MultiResolution. J. UCS 11(11): 1766-1779 (2005)
	2004
9		Daniel A. Keim, Jörn Schneidewind, Mike Sips: CircleView: a new approach for visualizing time-related multidimensional data sets. AVI 2004: 179-182
8		Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips: Analyzing Large Collections of Email. IKE 2004: 275-281
7		Daniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips: Exploring and Visualizing the History of InfoVis. INFOVIS 2004
6		Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind: Interactive Poster: Visual Mining of Business Process Data. INFOVIS 2004
5		Roland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips: Finding Spatial Patterns in Network Data. PaRMa 2004
4		Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips: Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps. WSCG 2004: 213-220
	2003
3		Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips, Ming C. Hao, Umeshwar Dayal: Pushing the Limit in Visual Data Exploration: Techniques and Applications. KI 2003: 37-51
2		Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind: Visualizing geographic information: VisualPoints vs. CartoDraw. Information Visualization 2(1): 58-67 (2003)
	2002
1		Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind: Efficient Cartogram Generation: A Comparison. INFOVIS 2002: 33-36

Coauthor Index

1	Helmut Barro	[7]
2	Umeshwar Dayal	[3] [6] [12] [13]
3	Ming C. Hao	[3] [6] [12] [13]
4	Roland Heilmann	[5]
5	Daniel A. Keim	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21]
6	Florian Mansmann	[11] [15] [21]
7	Tilo Nietzschmann	[17]
8	Stephen C. North	[1] [2]
9	Christian Panse	[1] [2] [3] [4] [5] [7] [8] [11]
10	Norman Schelwies	[17]
11	Tobias Schreck	[17]
12	Heidrun Schumann (Heidi Schumann)	[16]
13	Mike Sips	[3] [4] [5] [7] [8] [9] [11] [14] [16] [19] [20]
14	James J. Thomas (Jim Thomas)	[21]
15	Hartmut Ziegler	[15] [17] [21]