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Jörn Schneidewind: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Daniel A. Keim, Jörn Schneidewind, Mike Sips
    CircleView: a new approach for visualizing time-related multidimensional data sets. [Citation Graph (0, 0)][DBLP]
    AVI, 2004, pp:179-182 [Conf]
  2. Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
    Analyzing Large Collections of Email. [Citation Graph (0, 0)][DBLP]
    IKE, 2004, pp:275-281 [Conf]
  3. Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind
    Interactive Poster: Visual Mining of Business Process Data. [Citation Graph (0, 0)][DBLP]
    INFOVIS, 2004, pp:- [Conf]
  4. Daniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips
    Exploring and Visualizing the History of InfoVis. [Citation Graph (0, 0)][DBLP]
    INFOVIS, 2004, pp:- [Conf]
  5. Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind
    Efficient Cartogram Generation: A Comparison. [Citation Graph (0, 0)][DBLP]
    INFOVIS, 2002, pp:33-36 [Conf]
  6. Mike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann
    Scalable Pixel-based Visual Interfaces: Challenges and Solutions. [Citation Graph (0, 0)][DBLP]
    IV, 2006, pp:32-38 [Conf]
  7. Daniel A. Keim, Florian Mansmann, Jörn Schneidewind, Hartmut Ziegler
    Challenges in Visual Data Analysis. [Citation Graph (0, 0)][DBLP]
    IV, 2006, pp:9-16 [Conf]
  8. Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips, Ming C. Hao, Umeshwar Dayal
    Pushing the Limit in Visual Data Exploration: Techniques and Applications. [Citation Graph (0, 0)][DBLP]
    KI, 2003, pp:37-51 [Conf]
  9. Roland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
    Finding Spatial Patterns in Network Data. [Citation Graph (0, 0)][DBLP]
    PaRMa, 2004, pp:- [Conf]
  10. Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
    Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps. [Citation Graph (0, 0)][DBLP]
    WSCG, 2004, pp:213-220 [Conf]
  11. Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind
    Business process impact visualization and anomaly detection. [Citation Graph (0, 0)][DBLP]
    Information Visualization, 2006, v:5, n:1, pp:15-27 [Journal]
  12. Daniel A. Keim, Stephen C. North, Christian Panse, Jörn Schneidewind
    Visualizing geographic information: VisualPoints vs. CartoDraw. [Citation Graph (0, 0)][DBLP]
    Information Visualization, 2003, v:2, n:1, pp:58-67 [Journal]
  13. Daniel A. Keim, Jörn Schneidewind
    Scalable Visual Data Exploration of Large Data Sets via MultiResolution. [Citation Graph (0, 0)][DBLP]
    J. UCS, 2005, v:11, n:11, pp:1766-1779 [Journal]
  14. Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Jörn Schneidewind
    VisBiz: A Business Process Visualization Case Study. [Citation Graph (0, 0)][DBLP]
    EuroVis, 2005, pp:109-116 [Conf]
  15. Daniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips
    Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. [Citation Graph (0, 0)][DBLP]
    EuroVis, 2005, pp:247-254 [Conf]
  16. Daniel A. Keim, Tilo Nietzschmann, Norman Schelwies, Jörn Schneidewind, Tobias Schreck, Hartmut Ziegler
    A Spectral Visualization System for Analyzing Financial Time Series Data. [Citation Graph (0, 0)][DBLP]
    EuroVis, 2006, pp:195-202 [Conf]
  17. Daniel A. Keim, Jörn Schneidewind, Mike Sips
    Scalable Pixel Based Visual Data Exploration. [Citation Graph (0, 0)][DBLP]
    VIEW, 2006, pp:12-24 [Conf]

  18. Visual quality metrics and human perception: an initial study on 2D projections of large multidimensional data. [Citation Graph (, )][DBLP]


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