Mike Sips

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 9

Top Venues

EnvirVis@EuroVis

IEEE Trans. Vis. Comput. Graph.

Datenbank-Spektrum

CoRR

University of Konstanz (PHD)

Education History

University of Konstanz

PHD

Publications

Tobias Rawald, Mike Sips, Norbert Marwan
PyRQA - Conducting Recurrence Quantification Analysis on Very Long Time Series Efficiently. CoRR (2024)
Doris Dransch, Daniel Eggert, Mike Sips
F4ESS - a framework for interdisciplinary data-driven earth system science. Int. J. Digit. Earth 16 (1) (2023)
Mike Sips, Magdalena Vassileva, Daniel Eggert, Mahdi Motagh
MultiSat4Slows System for Detecting and Assessing Potentially Active Landslide Regions - Initial Results from an Ongoing Interdisciplinary Collaboration. EnvirVis@EuroVis (2023)
Daniel Eggert, Mike Sips, Philipp S. Sommer, Doris Dransch
DASF: A data analytics software framework for distributed environments. J. Open Source Softw. 7 (78) (2022)
Andrea Unger, Nadine Drager, Mike Sips, Dirk J. Lehmann
Understanding a Sequence of Sequences: Visual Exploration of Categorical States in Lake Sediment Cores. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Tobias Rawald, Mike Sips, Norbert Marwan
PyRQA - Conducting recurrence quantification analysis on very long time series efficiently. Comput. Geosci. 104 (2017)
Patrick Köthur, Daniel Eggert, Andreas Schenk, Mike Sips
Visual Analytics for Persistent Scatterer Interferometry: First Steps and Future Challenges. EuroVA@EuroVis (2016)
Daniel Eggert, Mike Sips, Patrick Köthur
Towards Visual Analytics for Multi-Sensor Analysis of Remote Sensing Archives. EnvirVis@EuroVis (2016)
Mike Sips, Patrick Köthur, Daniel Eggert
Toward a Visual Analytics Approach to Support Multi-Sensor Analysis in Remote Sensing Science. Datenbank-Spektrum 16 (3) (2016)
Janis Jatnieks, Mike Sips, Marco De Lucia, Doris Dransch
Towards Interactive Definition of Fast Surrogate Models for Geochemical Simulations Using Visual Analysis. EnvirVis@EuroVis (2015)
Patrick Köthur, Carl Witt, Mike Sips, Norbert Marwan, Stefan Schinkel, Doris Dransch
Visual Analytics for Correlation-Based Comparison of Time Series Ensembles. Comput. Graph. Forum 34 (3) (2015)
Tobias Rawald, Mike Sips, Norbert Marwan, Ulf Leser
Massively Parallel Analysis of Similarity Matrices on Heterogeneous Hardware. EDBT/ICDT Workshops (2015)
Tobias Rawald, Mike Sips, Ingo Sasgen, Doris Dransch
An Interactive Visualization Approach to Explore Mass Variations in the Earth System. EnvirVis@EuroVis (2014)
Patrick Köthur, Mike Sips, Andrea Unger, Julian Kuhlmann, Doris Dransch
Interactive visual summaries for detection and assessment of spatiotemporal patterns in geospatial time series. Inf. Vis. 13 (3) (2014)
Patrick Köthur, Mike Sips, Henryk Dobslaw, Doris Dransch
Visual Analytics for Comparison of Ocean Model Output with Reference Data: Detecting and Analyzing Geophysical Processes Using Clustering Ensembles. IEEE Trans. Vis. Comput. Graph. 20 (12) (2014)
Sungkil Lee, Mike Sips, Hans-Peter Seidel
Perceptually Driven Visibility Optimization for Categorical Data Visualization. IEEE Trans. Vis. Comput. Graph. 19 (10) (2013)
Mike Sips, Patrick Köthur, Andrea Unger, Hans-Christian Hege, Doris Dransch
A Visual Analytics Approach to Multiscale Exploration of Environmental Time Series. IEEE Trans. Vis. Comput. Graph. 18 (12) (2012)
Patrick Köthur, Mike Sips, Julian Kuhlmann, Doris Dransch
Visualization of Geospatial Time Series from Environmental Modeling Output. EuroVis (Short Papers) (2012)
Axel Radloff, Martin Luboschik, Mike Sips, Heidrun Schumann
Supporting Display Scalability by Redundant Mapping. ISVC (1) (2011)
Mike Sips, Boris Neubert, John P. Lewis, Pat Hanrahan
Selecting good views of high-dimensional data using class consistency. Comput. Graph. Forum 28 (3) (2009)
Mike Sips, Sascha Simon, John Gerth
Interactive Exploration of the Network Behavior of Personal Machines. Visualization and Monitoring of Network Traffic (2009)
Mike Sips, Jörn Schneidewind, Daniel A. Keim
Highlighting space-time patterns: Effective visual encodings for interactive decision-making. Int. J. Geogr. Inf. Sci. 21 (8) (2007)
Jörn Schneidewind, Mike Sips, Daniel A. Keim
An automated approach for the optimization of pixel-based visualizations. Inf. Vis. 6 (1) (2007)
Mike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann
Scalable Pixel-based Visual Interfaces: Challenges and Solutions. IV (2006)
Daniel A. Keim, Jörn Schneidewind, Mike Sips
Scalable Pixel Based Visual Data Exploration. VIEW (2006)
Carmen Sanz Merino, Mike Sips, Daniel A. Keim, Christian Panse, Robert Spence
Task-at-hand interface for change detection in stock market data. AVI (2006)
Jörn Schneidewind, Mike Sips, Daniel A. Keim
Pixnostics: Towards Measuring the Value of Visualization. IEEE VAST (2006)
Christian Panse, Mike Sips, Daniel A. Keim, Stephen C. North
Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement. IEEE Trans. Vis. Comput. Graph. 12 (5) (2006)
Daniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips
Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. EuroVis (2005)
Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North
Visual Data Mining in Large Geospatial Point Sets. IEEE Computer Graphics and Applications 24 (5) (2004)
Daniel A. Keim, Jörn Schneidewind, Mike Sips
CircleView: a new approach for visualizing time-related multidimensional data sets. AVI (2004)
Roland Heilmann, Daniel A. Keim, Christian Panse, Mike Sips
RecMap: Rectangular Map Approximations. INFOVIS (2004)
Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North
Pixel based visual data mining of geo-spatial data. Comput. Graph. 28 (3) (2004)
Roland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
Finding Spatial Patterns in Network Data. PaRMa (2004)
Daniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips
Exploring and Visualizing the History of InfoVis. INFOVIS (2004)
Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
Analyzing Large Collections of Email. IKE (2004)
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)
Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets. ICDM (2003)
Daniel A. Keim, Christian Panse, Mike Sips
Visual Data Mining of Large Spatial Data Sets. DNIS (2003)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mike Sips