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Andrienko G, Andrienko N, Demar U, Dransch D, Dykes J, Fabrikant S, Jern M, Kraak M-J, Schumann H, Tominski C.  2010.  Space, Time, and Visual Analytics. International Journal Geographical Information Science. :pp.1577-1600.
Andrienko G, Andrienko N, Schumann H, Tominski C.  2014.  Visualization of Trajectory Attributes in Space–Time Cube and Trajectory Wall. Cartography from Pole to Pole - Lecture Notes in Geoinformation and Cartography. :157--163.
Hadlak S, Schumann H, Cap CH, Wollenberg T.  2013.  Supporting the Visual Analysis of Dynamic Networks by Clustering associated Temporal Attributes. IEEE Transactions on Visualization and Computer Graphics. 19(12):2267--2276.
Hadlak S, Schulz H-J, Schumann H.  2011.  In Situ Exploration of Large Dynamic Networks. IEEE Transactions on Visualization and Computer Graphics. 17(12):2334--2343.
Helms T, Luboschik M, Schumann H, Uhrmacher A.  2013.  An Approximate Execution of Rule-Based Multi-level Models. Computational Methods in Systems Biology. 8130:19--32.
Holzhüter C, Lex A, Schmalstieg D, Schulz H-J, Schumann H, Streit M.  2012.  Visualizing Uncertainty in Biological Expression Data. Proceedings of the Conference on Visualization and Data Analysis (VDA'12).
Luboschik M, Tominski C, Bittig AT, Uhrmacher A, Schumann H.  2012.  Towards Interactive Visual Analysis of Microscopic-Level Simulation Data. Proceedings of the Annual SIGRAD Conference, Special Theme: Interactive Visual Analysis of Data.
Luboschik M, Maus C, Schulz H-J, Schumann H, Uhrmacher A.  2012.  Heterogeneity-based guidance for exploring multiscale data in Systems Biology. Proceedings of the IEEE Symposium on Biological Data Visualization (BioVis'12).
Nguyen D, Schumann H.  2013.  Web-Based Exploration of Photos with Time and Geospace. Web Information Systems and Technologies. 140:153--166.
Radloff A, Fuchs G, Schumann H.  2012.  Supporting Visual Analysis in Smart Meeting Rooms. Proceedings of the EuroVis Workshop on Visual Analytics (EuroVA'12).
Radloff A, Luboschik M, Sips M, Schumann H.  2011.  Supporting Display Scalability by Redundant Mapping. Proceedings of Advances in Visual Computing - International Symposium on Visual Computing (ISVC'11).