General Information
This page provides an overview of Best Papers, papers with extended versions for Special Issues, papers that made it into the Most Impactful Papers category, as well as an overview of all Proceedings in the EuroGraphics Digital Library.
https://diglib.eg.org/handle/10.2312/982
Best Papers
- 2022
- Yuncong Yu, Tim Becker, and Michael Behrisch: Multivariate Time Series Retrieval with Symbolic Aggregate Approximation, Regular Expression, and Query Expansion
- Marius Hogräfer, Jakob Burkhardt, and Hans-Jörg Schulz: A Pipeline for Tailored Sampling for Progressive Visual Analytics [Honorable Mention]
- 2021
- Jan Burmeister, Jürgen Bernard, Jörn Kohlhammer: LFPeers: Temporal Similarity Search in COVID-19 Data
- Dario Antweiler, David Sessler, Sebastian Ginzel, Jörn Kohlhammer: Towards the Detection and Visual Analysis of COVID-19 Infection Clusters [Honorable Mention]
- 2020
- Fabian Sperrle, Astrik Jeitler, Jürgen Bernard, Daniel Keim, Menna El-Assady: Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics
- 2019
- Siming Chen, Gennady Andrienko, Natalia Andrienko, Christos Doulkeridis, and Athanasios Koumparos: Contextualized Analysis of Movement Events
- Jürgen Bernard, Marco Hutter, Christian Ritter, Markus Lehmann, Michael Sedlmair, and Matthias Zeppelzauer: Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling [Honorable Mention]
- 2018
- Jie Li, Siming Chen, Gennady Andrienko, Natalia Andrienko: Visual Exploration of Spatial and Temporal Variations of Tweet Topic Popularity
- Christian Ritter, Christian Altenhofen, Matthias Zeppelzauer, Arjan Kuijper, Tobias Schreck, and Jürgen Bernard: Personalized Visual-Interactive Music Classification [Honorable Mention]
- 2017
- Martin Röhlig, Paul Rosenthal, Christoph Schmidt, Heidrun Schumann, Oliver Stachs: Visual Analysis of Optical Coherence Tomography Data in Ophthalmology
- 2016
- Jürgen Bernard, Eduard Dobermann, Markus Bögl, Martin Röhlig, Anna Vögele, and Jörn Kohlhammer: Visual-Interactive Segmentation of Multivariate Time Series [Honorable Mention]
Extended Selected Papers of EuroVA
- 2017
- Martin Röhlig, Christoph Schmidt, Ruby Kala Prakasam, Paul Rosenthal, Heidrun Schumann, Oliver Stachs: Visual Analysis of Retinal Changes with Optical Coherence Tomography, The Visual Computer, 2018.
- Wolfgang Jentner, Dominik Sacha, Florian Stoffel, Geoffrey Ellis, Leishi Zhang, Daniel Keim: Making Machine Intelligence Less Scary for Criminal Analysts: Reflections on Designing a Visual Comparative Case Analysis Tool, The Visual Computer, 2018.
- Jürgen Bernard, Matthias Zeppelzauer, Michael Sedlmair, Wolfgang Aigner: VIAL—A Unified Process for Visual-Interactive Labeling, The Visual Computer, 2018.
- 2018
- no special issue
- 2019: Special Issue in the ACM TiiS
- Jürgen Bernard, Marco Hutter, Christian Ritter, Markus Lehmann, Michael Sedlmair, Matthias Zeppelzauer: Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling ⇾ A Taxonomy of Property Measures to Unify Active Learning and Human-centered Approaches to Data Labeling, ACM Transactions on Interactive Intelligent Systems, 2021
- Christian Steinparz, Andreas Hinterreiter, Holger Stitz, Marc Streit: Visualization of Rubik’s Cube Solution Algorithms ⇾ Projection Path Explorer: Exploring Visual Patterns in Projected Decision-making Paths, Interactive Intelligent Systems, 2021
- 2020
- Sperrle, Fabian, Astrik Jeitler, Jürgen Bernard, Daniel Keim, and Mennatallah El-Assady: Co-adaptive visual data analysis and guidance processes, Computers & Graphics, 2021
- Bernard, Jürgen, Marco Hutter, Matthias Zeppelzauer, Michael Sedlmair, and Tamara Munzner: ProSeCo: Visual analysis of class separation measures and dataset characteristics, Computers & Graphics, 2021
- Tian, Zonglin, Xiaorui Zhai, Daan van Driel, Gijs van Steenpaal, Mateus Espadoto, and Alexandru Telea: Using multiple attribute-based explanations of multidimensional projections to explore high-dimensional data, Computers & Graphics, 2021
- Buchmüller, Juri F., Udo Schlegel, Eren Cakmak, Daniel A. Keim, and Evanthia Dimara: SpatialRugs: A compact visualization of space and time for analyzing collective movement data, Computers & Graphics, 2021
- 2021
- Benjamin Russig, Oliver Winke, Carolin Ligges, Raimund Dachselt, Stefan Gumhold: Understanding multi-modal brain network data: an immersive 3D visualization approach, Computers & Graphics, 2022
- Benjamin Watson: Toward integrated interfaces: weaving sensemaking into physical workplaces with augmented reality, Computers & Graphics, 2022
- Marius Hogräfer, Martin Röhlig, Heidrun Schumann, Bodo Urban, Hans-Jörg Schulz: A Data-Driven Platform for the Coordination of Independent Visual Analytics Tools, Computers & Graphics, 2022
- David Sessler, Maxim Rossknecht, Benjamin Abb, Jörn Kohlhammer: Uncovering Chains of Infections through Spatio-Temporal and Visual Analysis of COVID-19 Contact Traces, Computers & Graphics, 2022
- 2022
- special issue invitations will be sent out to the authors soon
Most Cited EuroVA Publications
The assembly of most cited papers is based on two metrics, (1) papers published before 2018 with at least 10 citations and (2) papers published since 2018 with an above-average citation count.
- 2010
- Seifert C, Sabol V, Kienreich W.: Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualisations
- Pölitz C, Andrienko G, Andrienko N.: Finding arbitrary shaped clusters with related extents in space and time
- Dou W, Ribarsky W, Chang R.: Capturing Reasoning Process through User Interaction
- von Landesberger T, Bremm S, Bernard J, Schreck T.: Smart Query Definition for Content-Based Search in Large Sets of Graphs
- Telea AC, Ersoy O, Voinea L.: Visual Analytics in Software Maintenance: Challenges and Opportunities
- 2011
- Eisemann M, Albuquerque G, Magnor MA.: Data-Driven Color Mapping
- Bremm S, Andrienko G, Andrienko N, Schreck T, Landesberger TV.: Interactive analysis of object group changes over time
- Lammarsch T, Aigner W, Bertone A, Miksch S, Rind A.: Towards a concept how the structure of time can support the visual analytics process
- Wörner M, Ertl T, Miksch S, Santucci G.: Visual Analysis of Advanced Manufacturing Simulations
- Alsallakh B, Gröller ME, Miksch S, Suntinger M.: Contingency Wheel: Visual Analysis of Large Contingency Tables
- Ahmed Z, Yost P, McGovern A, Weaver CE.: Steerable Clustering for Visual Analysis of Ecosystems
- 2012
- Wörner M, Ertl T.: Visual Analysis of Public Transport Vehicle Movement
- Bremm S, Hess M, von Landesberger T, Fellner DW.: PCDC-On the Highway to Data-A Tool for the Fast Generation of Large Synthetic Data Sets
- Oelke D, Geißelmann B, Keim DA.: Visual Analysis of Explicit Opinion and News Bias in German Soccer Articles
- da Silva IC, Santucci G, del Sasso Freitas C.: Ontology Visualization: One Size Does Not Fit All
- Peca I, Fuchs G, Vrotsou K, Andrienko NV, Andrienko GL.: Scalable Cluster Analysis of Spatial Events
- Behrisch M, Krstajic M, Schreck T, Keim DA.: The News Auditor: Visual Exploration of Clusters of Stories
- Lammarsch T, Rind A, Aigner W, Miksch S.: Developing an extended task framework for exploratory data analysis along the structure of time
- 2013
- Angelini M, Santucci G.: Modeling Incremental Visualizations
- 2014
- Ritsos PD, Roberts JC.: Towards more visual analytics in learning analytics
- Shao L, Behrisch M, Schreck T, von Landesberger T, Scherer M, Bremm S, Keim DA.: Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces
- Alsallakh B, Bögl M, Gschwandtner T, Miksch S, Esmael B, Arnaout A, Thonhauser G, Zöllner P.: A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data
- Roberts JC, Keim DA, Hanratty TP, Rowlingson R, Walker R, Hall M, Jackobson Z, Lavigne V, Rooney C, Varga M.: From Ill-defined Problems to Informed Decisions
- Agibetov A, Vaquero RM, Friese KI, Patanè G, Spagnuolo M, Wolter FE.: Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space
- 2015
- da Silva RR, Rauber PE, Martins RM, Minghim R, Telea AC: Attribute-based Visual Explanation of Multidimensional Projections
- Chae J, Cui Y, Jang Y, Wang G, Malik A, Ebert DS.: Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media
- Federico P, Unger J, Amor-Amorós A, Sacchi L, Klimov D, Miksch S. Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts
- Rauber PE, da Silva RR, Feringa S, Celebi ME, Falcão AX, Telea AC.: Interactive Image Feature Selection Aided by Dimensionality Reduction
- 2016
- Bernard J, Dobermann E, Bögl M, Röhlig M, Vögele A, Kohlhammer J.: Visual-Interactive Segmentation of Multivariate Time Series
- Asokarajan B, Etemadpour R, Abbas J, Huskey SJ, Weaver CE, Andrienko N, Sedlmair M.: Visualization of Latin Textual Variants using a Pixel-Based Text Analysis Tool
- 2017
- Jentner W, El-Assady M, Gipp B, Keim DA.: Feature alignment for the analysis of verbatim text transcripts
- Alemzadeh S, Hielscher T, Niemann U, Cibulski L, Ittermann T, Völzke H, Spiliopoulou M, Preim B.: Subpopulation Discovery and Validation in Epidemiological Data
- 2018
- Bernard J, Bors C, Bögl M, Eichner C, Gschwandtner T, Miksch S, Schumann H, Kohlhammer J.: Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series
- Li J, Chen S, Andrienko GL, Andrienko NV.: Visual Exploration of Spatial and Temporal Variations of Tweet Topic Popularity
- Dang T, Vinh The Nguyen. ComModeler: Topic Modeling Using Community Detection
- Ceneda D, Gschwandtner T, May T, Miksch S, Streit M, Tominski C.: Guidance or No Guidance? A Decision Tree Can Help
- Ritter C, Altenhofen C, Zeppelzauer M, Kuijper A, Schreck T, Bernard J.: Personalized Visual-Interactive Music Classification
- 2019
- Angelini M, May T, Santucci G, Schulz HJ.: On Quality Indicators for Progressive Visual Analytics
- Chen S, Andrienko G, Andrienko N, Doulkeridis C, Koumparos A.: Contextualized analysis of movement events
- Eckelt K, Adelberger P, Zichner T, Wernitznig A, Streit M.: TourDino: A Support View for Confirming Patterns in Tabular Data
- Espadoto M, Rodrigues FC, Hirata NS, Hirata Jr R, Telea AC.: Deep Learning Inverse Multidimensional Projections
- 2020
- Sperrle F, Jeitler AV, Bernard J, Keim DA, El-Assady M.: Learning and teaching in co-adaptive guidance for mixed-initiative visual analytics
- Cantareira GD, Paulovich FV.: A Generic Model for Projection Alignment Applied to Neural Network Visualization
- van Driel D, Zhai X, Tian Z, Telea AC.: Enhanced Attribute-Based Explanations of Multidimensional Projections