Revealing patterns and trends of mass mobility through spatial and temporal abstraction of origin-destination movement data G Andrienko, N Andrienko, G Fuchs, J Wood IEEE transactions on visualization and computer graphics 23 (9), 2120-2136, 2016 | 156 | 2016 |
Thematic patterns in georeferenced tweets through space-time visual analytics G Andrienko, N Andrienko, H Bosch, T Ertl, G Fuchs, P Jankowski, ... Computing in Science & Engineering 15 (3), 72-82, 2013 | 153 | 2013 |
Task-driven color coding C Tominski, G Fuchs, H Schumann 2008 12th International Conference Information Visualisation, 373-380, 2008 | 131 | 2008 |
Visual analysis of pressure in football G Andrienko, N Andrienko, G Budziak, J Dykes, G Fuchs, ... Data Mining and Knowledge Discovery 31, 1793-1839, 2017 | 129 | 2017 |
Viewing visual analytics as model building N Andrienko, T Lammarsch, G Andrienko, G Fuchs, D Keim, S Miksch, ... Computer graphics forum 37 (6), 275-299, 2018 | 120 | 2018 |
Clustering trajectories by relevant parts for air traffic analysis G Andrienko, N Andrienko, G Fuchs, JMC Garcia IEEE transactions on visualization and computer graphics 24 (1), 34-44, 2017 | 106 | 2017 |
Tracing the German centennial flood in the stream of tweets: first lessons learned G Fuchs, N Andrienko, G Andrienko, S Bothe, H Stange Proceedings of the second ACM SIGSPATIAL international workshop on …, 2013 | 94 | 2013 |
Scalable and privacy-respectful interactive discovery of place semantics from human mobility traces N Andrienko, G Andrienko, G Fuchs, P Jankowski Information Visualization 15 (2), 117-153, 2016 | 78 | 2016 |
Constructing spaces and times for tactical analysis in football G Andrienko, N Andrienko, G Anzer, P Bauer, G Budziak, G Fuchs, ... IEEE Transactions on Visualization and Computer Graphics 27 (4), 2280-2297, 2019 | 70 | 2019 |
Visualizing abstract data on maps G Fuchs, H Schumann Proceedings. Eighth International Conference on Information Visualisation …, 2004 | 52 | 2004 |
DART: A machine-learning approach to trajectory prediction and demand-capacity balancing EC Fernández, JM Cordero, G Vouros, N Pelekis, T Kravaris, H Georgiou, ... SESAR Innovation Days, Belgrade, 28-30, 2017 | 51 | 2017 |
Understanding movement data quality G Andrienko, N Andrienko, G Fuchs Journal of location Based services 10 (1), 31-46, 2016 | 50 | 2016 |
Extracting Semantics of Individual Places from Movement Data by Analyzing Temporal Patterns of Visits. GL Andrienko, NV Andrienko, G Fuchs, AMO Raimond, J Symanzik, ... COMP@ SIGSPATIAL, 9-15, 2013 | 48 | 2013 |
Towards an integrated approach for task modeling and human behavior recognition M Giersich, P Forbrig, G Fuchs, T Kirste, D Reichart, H Schumann Human-Computer Interaction. Interaction Design and Usability: 12th …, 2007 | 44 | 2007 |
Visual analytics for data scientists N Andrienko, G Andrienko, G Fuchs, A Slingsby, C Turkay, S Wrobel Springer International Publishing, 2020 | 41 | 2020 |
Data abstraction for visualizing large time series G Shurkhovetskyy, N Andrienko, G Andrienko, G Fuchs Computer Graphics Forum 37 (1), 125-144, 2018 | 39 | 2018 |
SimpliFly: A methodology for simplification and thematic enhancement of trajectories K Vrotsou, H Janetzko, C Navarra, G Fuchs, D Spretke, F Mansmann, ... IEEE Transactions on Visualization and Computer Graphics 21 (1), 107-121, 2014 | 38 | 2014 |
Visual analytics for exploring local impact of air traffic J Buchmüller, H Janetzko, G Andrienko, N Andrienko, G Fuchs, DA Keim Computer Graphics Forum 34 (3), 181-190, 2015 | 35 | 2015 |
Detection, tracking, and visualization of spatial event clusters for real time monitoring N Andrienko, G Andrienko, G Fuchs, S Rinzivillo, HD Betz 2015 IEEE International conference on data science and advanced analytics …, 2015 | 34 | 2015 |
Big Data Analytics for Time Critical Mobility Forecasting: Recent Progress and Research Challenges. GA Vouros, A Vlachou, GM Santipantakis, C Doulkeridis, N Pelekis, ... EDBT, 612-623, 2018 | 33 | 2018 |