Natalia Andrienko, Gennady Andrienko, Silvia Miksch, Heidrun Schumann, Stefan Wrobel, "A Theoretical Model for Pattern Discovery in Visual Analytics", Visual Informatics, vol. 5, pp. 20, 2022. paper
Velitchko Filipov, Victor Schetinger, Kathrin Raminger, Nathalie Soursos, Susana Zapke, Silvia Miksch, "Gone full circle: A radial approach to visualize event-based networks in digital humanities", Visual Informatics, vol. 5, pp. 45-60, 2021. paper
Alessio Arleo, Silvia Miksch, Daniel Archambault, "A Multilevel Approach for Event-Based Dynamic Graph Drawing", EuroVIS 2021, 2021. GitHub page Supplemental Video
: Different combinations of structural and temporal encodings of a network as depicted in our study Velitchko Filipov, Alessio Arleo, Silvia Miksch, "Exploratory User Study on Graph Temporal Encodings", , pp. 126-130, 2021. paper
Davide Ceneda, Natalia Andrienko, Gennady Andrienko, Theresia Gschwandtner, Silvia Miksch, Nikolaus Piccolotto, Tobias Schreck, Marc Streit, Josef Suschnigg, Christian Tominski, "Guide Me in Analysis: A Framework for Guidance Designers", Computer Graphics Forum, vol. 39, pp. 19, 2020. paper
Andreas Walch, Michael Schwärzler, Christian Luksch, Elmar Eisemann, Theresia Gschwandtner, "LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization", IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 26, pp. 10, 2020. paper
Florian Windhager, Saminu Salisu, Roger Leite, Velitchko Filipov, Silvia Miksch, Günther Schreder, Eva Mayr, "Many Views Are Not Enough: Designing for Synoptic Insights in Cultural Collections", IEEE Computer Graphics and Applications, vol. 40, pp. 58-71, 2020. paper
Roger Leite, Theresia Gschwandtner, Silvia Miksch, Erich Gstrein, Johannes Kuntner, "NEVA: Visual Analytics to Identify Fraudulent Networks", Computer Graphics Forum, vol. 39, 2020. paper
Johannes Gärtner, Luca Miksch, Mikko Miksch, Silvia Miksch, "Handbuch Fisch & Fußball: Oder warum Fische die besseren Fußballer*innen sind", , 2020. paper
Silvia Miksch, Heike Leite, Min Chen, "Knowledge-Assisted Visualization and Guidance", Foundations of Data Visualization, pp. 61--85, 2020. paper
Christian Bors, Christian Eichner, Silvia Miksch, Christian Tominski, Heidrun Schumann, Theresia Gschwandtner, "Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques", EuroVis 2020, 2020. paper
Teaser Image Alessio Arleo, Walter Didimo, Giuseppe Liotta, Silvia Miksch, Fabrizio Montecchiani, "VAIM: Visual Analytics for Influence Maximization", 28th International Symposium on Graph Drawing and Network Visualization, 2020. arXiv version YouTube
Markus Bögl, "Visual Analysis of Periodic Time Series Data - Supporting Model Selection, Prediction, Imputation, and Outlier Detection Using Visual Analytics", Institute of Visual Computing and Human-Centered Technology, vol. PhD, Dr.-techn., 2020. paper
Victor Schetinger, Kathrin Raminger, Velitchko Filipov, Nathalie Soursos, Susana Zapke, Silvia Miksch, "Bridging the Gap between Visual Analytics and Digital Humanities: Beyond the Data-Users-Tasks Design Triangle", , 2020.
Roger Leite, Victor Schetinger, Davide Ceneda, Bernardo Henz, Silvia Miksch, "COVIs: Supporting Temporal Visual Analysis of Covid-19 Events Usable in Data-Driven Journalism", IEEE VIS 2020, short paper, 2020.
Christian Bors, "Facilitating Data Quality Assessment Utilizing Visual Analytics: Tackling Time, Metrics, Uncertainty, and Provenance", Institute of Visual Computing and Human-Centered Technology, vol. PhD, Dr.-techn., 2020.
Davide Ceneda, "Guidance-Enriched Visual Analytics", Institute of Visual Computing and Human-Centered Technology, vol. PhD, Dr.-techn., pp. 206, 2020. paper
Roger Leite, Alessio Arleo, Johannes Sorger, Theresia Gschwandtner, Silvia Miksch, "Hermes: Guidance-enriched Visual Analytics for economic network exploration", Visual Informatics, Elsevier, vol. 4, 2020.
Jürgen Bernard, Marco Hutter, Heiko Reinemuth, Hendrik Pfeifer, Christian Bors, Jörn Kohlhammer, "Visual-Interactive Preprocessing of Multivariate Time Series Data", Computer Graphics Forum, vol. 38, pp. 11, 2019. paper
Iterative refinement of the provenance task abstraction framework. Christian Bors, John Wenskovitch, Michelle Dowling, Simon Attfield, Leilani Battle, Alex Endert, Olga Kulyk, Robert Laramee, "A Provenance Task Abstraction Framework", IEEE Computer Graphics and Applications, vol. 39, pp. 15, 2019. paper
Johannes Sorger, Manuela Waldner, Wolfgang Knecht, Alessio Arleo, "Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation", IEEE AIVR 2019, 2019. paper
Velitchko Filipov, Nathalie Soursos, Victor Schetinger, Susana Zapke, Silvia Miksch, "Exiled but not forgotten: Investigating commemoration of musicians in Vienna after 1945 through Visual Analytics", , 2019.
Christos Tsigkanos, Alessio Arleo, Johannes Sorger, Schahram Dustdar, "How do firms transact? Guesstimation and Validation of Financial Transaction Networks with Satisfiability", IEEE 20th International Conference on Information Reuse and Integration for Data Science, 2019.
Eva Mayr, Saminu Salisu, Velitchko Filipov, Günther Schreder, Roger Leite, Silvia Miksch, Florian Windhager, "Visualizing Biographical Trajectories by Historical Artifacts: A Case Study based on the Photography Collection of Charles W. Cushman", , 2019.
Alessio Arleo, Christos Tsigkanos, Chao Jia, Roger Leite, Ilir Murturi, Manfred Klaffenböck, Schahram Dustdar, Silvia Miksch, Michael Wimmer, Johannes Sorger, "Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge", IEEE VIS 2019, 2019. paper…