2018

• Bernard, J., Hutter, M., Zeppelzauer, M., Fellner, D., & Sedlmair, M. (2018). Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study. IEEE Trans. Visualization and Computer Graphics (TVCG, Proc. VAST 2017).
• Niederer, C., K. Blumenstein, M. Wagner, S. Emerich, and W. Aigner (2018). Visualizing Text Data in Space and Time to Augment a Political News Broadcast on a Second Screen. In 9th International Conference on Information Visualization Theory and Applications (IVAPP 2018), Madeira, SCITEPRESS, forthcoming, In Press.
• Niederer, C., Stitz, H., Hourieh, R., Grassinger, F., Aigner, W., & Streit, M. (2018). TACO: Visualizing Changes in Tables Over Time. IEEE Transactions on Visualization and Computer Graphics, 24(1), 677–686. doi:10.1109/TVCG.2017.2745298
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• Valdez, A. C., Ziefle, M., & Sedlmair, M. (2018). Priming and Anchoring Effects in Visualization. IEEE Trans. Visualization and Computer Graphics (TVCG, Proc. InfoVis 2017).
• Wang, Y., Chu, X., Bao, C., Zhu, L., Deussen, O., Chen, B., & Sedlmair, M. (2018). EdWordle: Consistency-preserving Word Cloud Editing. IEEE Trans. Visualization and Computer Graphics (TVCG, Proc. InfoVis 2017).

2017

• Ausserhofer, J., Gutounig, R., Oppermann, M., Matiasek, S., & Goldgruber, E. (2017). The datafication of data journalism scholarship: Focal points, methods, and research propositions for the investigation of data-intensive newswork. Journalism. doi:10.1177/1464884917700667
• Bernard, J., Zeppelzauer, M., Sedlmair, M., & Aigner, W. (2017). A Unified Process for Visual-Interactive Labeling. In Proc. Eurographics Intl. Workshop on Visual Analytics (EuroVA).
  
• Blumenstein, K., C. Niederer, M. Wagner, W. Pfersmann, M. Seidl, and W. Aigner (2017). Visualizing Spatial and Time-Oriented Data in a Second Screen Application. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, ACM.
• Isenberg, P., Isenberg, T., Sedlmair, M., Chen, J., & Möller, T. (2017). Visualization as Seen Through its Research Paper Keywords. IEEE Trans. Visualization and Computer Graphics (TVCG, Proc. SciVis 2016), 23(1), 771–780.
• Jenny, M., Haselmayer, M., Rudkowsky, E., Wastian, M., Emrich, S., & Sedlmair, M. (2017). Incivility in Austrian parliamentary debates: A supervised sentiment analysis of parliamentary speeches. In ECPR Joint Sessions of Workshops.
• Oppermann, M., Möller, T., & Sedlmair, M. (2017). Bike Sharing Atlas: Visual Analysis of Bike-Sharing Networks. International Journal of Transportation.
• Rind, A., A. Haberson, K. Blumenstein, C. Niederer, M. Wagner, and W. Aigner (2017). PubViz: Lightweight Visual Presentation of Publication Data. In Proc. Eurographics Conf. Visualization (EuroVis) – Short Paper: EuroGraphics, pp. 169-173. doi:10.2312/eurovisshort.20171152
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• Rudkowsky, E., Haselmayer, M., Wastian, M., Jenny, M., Emrich, S., & Sedlmair, M. (2017). Supervised Sentiment Analysis of Parliamentary Speeches and News Reports. In 67th Annual Conference of the International Communication Association (ICA), Panel on ‘Automatic Sentiment Analysis.’
• Tominski, C., W. Aigner, S. Miksch, and H. Schumann (2017). Images of Time: Visual Representation of Time-Oriented Data. In Information Design: Research and Practice: Gower/Routledge, pp. 23–42.
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• Valdez, A. C., Ziefle, M., & Sedlmair, M. (2017). A Framework for Studying Biases in Visualization Research. In IEEE VIS Workshop on Dealing with Cognitive Biases in Visualisations (DECISIVe).

2016

• Aupetit, M., & Sedlmair, M. (2016). SepMe: 2002 New visual separation measures. In IEEE Pacific Visualization Symposium (pp. 1–8).
• Blumenstein, K., Niederer, C., Wagner, M., Schmiedl, G., Rind, A., and Aigner, W. (2016). Evaluating Information Visualization on Mobile Devices: Gaps and Challenges in the Empirical Evaluation Design Space, In Proceedings of 2016 Workshop on Beyond Time And Errors: Novel Evaluation Methods For Visualization (pp. 125–132), Baltimore, MD, USA, ACM. doi: 10.1145/2993901.2993906
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• Gutounig, R., Goldgruber, E., Ausserhofer, J., Andrews, K., Traunmüller, T., & Wolkinger, T. (2016). The Styrian Diversity Visualisation Project: Communicating Data Stories with an Open Data Visualisation Web App. In Tagungsband zum 10. Forschungsforum der Österreichischen Fachhochschulen. 30.-31. März 2016, Fachhochschule des BFI Wien. Vienna.
• Niederer, C., A. Rind, W. Aigner, J. Ausserhofer, R. Gutounig, and M. Sedlmaier (2016). Visual Exploration of Media Transparency for Data Journalists: Problem Characterization and Abstraction. In Procedding of the 10th Forschungsforum der österreichischen Fachhochschulen, Vienna, Austria, FH des BFI Wien.
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• Rind, A., Aigner, W., Wagner, M., Miksch, S., & Lammarsch, T. (2016). Task Cube: A Three-Dimensional Conceptual Space of User Tasks in Visualization Design and Evaluation. Information Visualization 15(4), pp. 288-300. doi:10.1177/1473871615621602
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• Rind, A., Pfahler, D., Niederer, C., and Aigner, W. (2016). Exploring Media Transparency With Multiple Views. In Proceedings of the 9th Forum Media Technology 2016 (pp. 65–73), St. Pölten, Austria, CEUR-WS.org.
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• Sacha, D., Sedlmair, M., Zhang, L., Lee, J. A., Weiskopf, D., North, S. C., & Keim, D. A. (2016). Human-Centered Machine Learning Through Interactive Visualization: Review and Open Challenges. In European Symposium on Artificial Neural Networks (ESANN).
• Sedlmair, M. (2016). Design Study Contributions Come in Different Guises: Seven Guiding Scenarios. In IEEE VIS Workshop Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV) (pp. 152–161). ACM Press.

2015

• Ausserhofer, J. (2015). „Die Methode liegt im Code”: Routinen und digitale Methoden im Datenjournalismus. In A. Maireder, J. Ausserhofer, C. Schumann, & M. Taddicken (Hrsg.), Digitale Methoden in der Kommunikationswissenschaft (S. 87–111). doi: 10.17174/dcr.v2.5
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• Niederer, C., Aigner, W., & Rind, A. (2015). Survey on Visualizing Dynamic, Weighted, and Directed Graphs in the Context of Data-Driven Journalism. In Schulz, H.-J.; Urban, B. & von Lukas, U. (eds.), Proceedings of the International Summer School on Visual Computing 2015 (pp. 49–58). Rostock, Fraunhofer.
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• Sedlmair, M., & Aupetit, M. (2015). Data-driven Evaluation of Visual Quality Measures. Computer Graphics Forum (CGF, Proc. EuroVis 2015), 34(3), 201–210.
• Simon, S., Mittelstädt, S., Keim, D. A., & Sedlmair, M. (2015). Bridging the Gap of Domain and Visualization Experts with a Liaison. In Eurographics Conference on Visualization (EuroVis, Short Paper). doi:10.2312/eurovisshort.20151137

• Ausserhofer, J., Gutounig, R., Oppermann, M., Matiasek, S., & Goldgruber, E. (2016, April). Research on data journalism: What is there to investigate? Insights from a structured literature review. Presented at the Northern Data Journalism Conference (NODA16), Helsinki, Finland.

  PDF, Slides
• Niederer, C., Rind, A., Aigner, W., Ausserhofer, J., Gutounig, R., & Sedlmair, M. (2016, March). Visual exploration of media transparency for data journalists: problem characterization and abstraction. Presented at the Forschungsforum der österreichischen Fachhochschulen (FFH2016), Vienna, Austria.
  Postprint PDF
• Gutounig, R., Goldgruber, E., Ausserhofer, J., Andrews, K., Traunmüller, T., & Wolkinger, T. (2016, March). The styrian diversity visualisation project: communicating data stories with an open data visualisation web app. Presented at the Forschungsforum der österreichischen Fachhochschulen (FFH2016), Vienna, Austria.
• Ausserhofer, J., Gutounig, R., & Oppermann, M. (2015, October). News Production Workflows in Data-driven, Algorithmic Journalism: A Systematic Literature Review. Presented at the Dubrovnik Media Days, Dubrovnik, Crotia.
  PDF, Slides