| Characterizing guidance in visual analytics D Ceneda, T Gschwandtner, T May, S Miksch, HJ Schulz, M Streit, ... IEEE transactions on visualization and computer graphics 23 (1), 111-120, 2016 | 282 | 2016 |
| The state‐of‐the‐art of set visualization B Alsallakh, L Micallef, W Aigner, H Hauser, S Miksch, P Rodgers Computer Graphics Forum 35 (1), 234-260, 2016 | 169 | 2016 |
| A taxonomy of dirty time-oriented data T Gschwandtner, J Gärtner, W Aigner, S Miksch International Conference on Availability, Reliability, and Security, 58-72, 2012 | 126 | 2012 |
| CareCruiser: Exploring and visualizing plans, events, and effects interactively T Gschwandtner, W Aigner, K Kaiser, S Miksch, A Seyfang 2011 IEEE pacific visualization symposium, 43-50, 2011 | 99 | 2011 |
| A review of guidance approaches in visual data analysis: A multifocal perspective D Ceneda, T Gschwandtner, S Miksch Computer Graphics Forum 38 (3), 861-879, 2019 | 95 | 2019 |
| Visual encodings of temporal uncertainty: A comparative user study T Gschwandtnei, M Bögl, P Federico, S Miksch IEEE transactions on visualization and computer graphics 22 (1), 539-548, 2015 | 94 | 2015 |
| Eva: Visual analytics to identify fraudulent events RA Leite, T Gschwandtner, S Miksch, S Kriglstein, M Pohl, E Gstrein, ... IEEE transactions on visualization and computer graphics 24 (1), 330-339, 2017 | 83 | 2017 |
| TimeCleanser: A visual analytics approach for data cleansing of time-oriented data T Gschwandtner, W Aigner, S Miksch, J Gärtner, S Kriglstein, M Pohl, ... Proceedings of the 14th international conference on knowledge technologies …, 2014 | 72 | 2014 |
| Visual analytics for event detection: Focusing on fraud RA Leite, T Gschwandtner, S Miksch, E Gstrein, J Kuntner Visual Informatics 2 (4), 198-212, 2018 | 61 | 2018 |
| Mean-field model for the growth and coarsening of stoichiometric precipitates at grain boundaries E Kozeschnik, J Svoboda, R Radis, FD Fischer Modelling and simulation in materials science and engineering 18 (1), 015011, 2009 | 48 | 2009 |
| Guide me in analysis: A framework for guidance designers D Ceneda, N Andrienko, G Andrienko, T Gschwandtner, S Miksch, ... Computer Graphics Forum 39 (6), 269-288, 2020 | 41 | 2020 |
| Perspectives of visualization onboarding and guidance in VA C Stoiber, D Ceneda, M Wagner, V Schetinger, T Gschwandtner, M Streit, ... Visual Informatics 6 (1), 68-83, 2022 | 39 | 2022 |
| Capturing and visualizing provenance from data wrangling C Bors, T Gschwandtner, S Miksch IEEE computer graphics and applications 39 (6), 61-75, 2019 | 39 | 2019 |
| Visual interactive creation, customization, and analysis of data quality metrics C Bors, T Gschwandtner, S Kriglstein, S Miksch, M Pohl Journal of Data and Information Quality (JDIQ) 10 (1), 1-26, 2018 | 32 | 2018 |
| Exploration and explanation in data-driven storytelling A Thudt, J Walny, T Gschwandtner, J Dykes, J Stasko Data-Driven Storytelling, 59-83, 2018 | 32 | 2018 |
| Visual analytics meets process mining: challenges and opportunities T Gschwandtner Data-Driven Process Discovery and Analysis: 5th IFIP WG 2.6 International …, 2017 | 30 | 2017 |
| Challenges of time-oriented data in visual analytics for healthcare W Aigner, P Federico, T Gschwandtner, S Miksch, A Rind IEEE VisWeek workshop on visual analytics in healthcare 4, 2012 | 27 | 2012 |
| Guidance or No Guidance? A Decision Tree Can Help. D Ceneda, T Gschwandtner, T May, S Miksch, M Streit, C Tominski EuroVA@ EuroVis, 19-23, 2018 | 26 | 2018 |
| Know your enemy: Identifying quality problems of time series data T Gschwandtner, O Erhart 2018 IEEE Pacific Visualization Symposium (PacificVis), 205-214, 2018 | 26 | 2018 |
| Neva: Visual analytics to identify fraudulent networks R A. Leite, T Gschwandtner, S Miksch, E Gstrein, J Kuntner Computer Graphics Forum 39 (6), 344-359, 2020 | 25 | 2020 |
Silvia MikschVienna University of Technology (TU Wien)ایمیل تأیید شده در ifs.tuwien.ac.at