TU Wien Informatics

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Silvia Miksch

Univ.Prof.in Mag.a rer.soc.oec. Dr.in rer.soc.oec.

Research Focus

  • Information Systems Engineering: 20%
  • Logic and Computation: 20%
  • Visual Computing and Human-Centered Technology: 60%

Research Areas

  • Visual Computing, Time-oriented Data, Information and Knowledge Engineering, Information Visualization, Information Design, Process Engineering, Plan Management, Medical Informatics, Visual Analytics
Silvia Miksch

About

Visualization (Information Visualization, Visual Analytics), Interaction Design, Process Engineering, time-oriented data

Roles

  • Head of Research Unit
    Visual Analytics, E193-07
  • Full Professor
    Visual Analytics, E193-07
  • Research Focus Coordinator
    Visual Computing and Human-Centered Technology
  • Faculty Council
    Principal Member

Contact

2022W

2023S

 

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

2023

2022

  • Event‐based Dynamic Graph Drawing without the Agonizing Pain / Arleo, A., Miksch, S., & Archambault, D. (2022). Event‐based Dynamic Graph Drawing without the Agonizing Pain. Computer Graphics Forum. https://doi.org/10.1111/cgf.14615
  • Visual Exploration of Financial Data with Incremental Domain Knowledge / Arleo, A., Tsigkanos, C., Leite, R. A., Dustdar, S., Miksch, S., & Sorger, J. (2022). Visual Exploration of Financial Data with Incremental Domain Knowledge. Computer Graphics Forum. https://doi.org/10.1111/cgf.14723
  • The Combinatorics of HumaneAI / Schetinger, V., Eiter, T., Kiesel, R. P. D., & Miksch, S. (2022, November 16). The Combinatorics of HumaneAI [Poster Presentation]. Conference on AI for Humanity and Society, Stockholm, Sweden. / Project: HumanE-AI-Net
  • Visual Analytics Meets Temporal Reasoning: Challenges and Opportunities / Miksch, S. (2022, November 8). Visual Analytics Meets Temporal Reasoning: Challenges and Opportunities [Keynote Presentation]. TIME 2022: 29th International Symposium on Temporal Representation and Reasoning, virtuel - online, Italy. https://doi.org/10.4230/LIPIcs.TIME.2022.2
  • TBSSvis: Visual analytics for temporal blind source separation / Piccolotto, N., Bögl, M., Gschwandtner, T., Muehlmann, C., Nordhausen, K., Filzmoser, P., & Miksch, S. (2022). TBSSvis: Visual analytics for temporal blind source separation. Visual Informatics, 6(4), 51–66. https://doi.org/10.1016/j.visinf.2022.10.002
  • Visual Analytics: Opportunities and Challenges / Miksch, S. (2022, October 19). Visual Analytics: Opportunities and Challenges [Conference Presentation]. VIS 2022 Panel: Grand Challenges in Visual Analytic Systems, Oklahoma City, United States of America (the).
  • Influence Maximization with Visual Analytics / Arleo, A., Didimo, W., Liotta, G., Miksch, S., & Montecchiani, F. (2022). Influence Maximization with Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 28(10), 3428–3440. https://doi.org/10.1109/TVCG.2022.3190623
  • A Typology of Guidance Tasks in Mixed‐Initiative Visual Analytics Environments / Perez Messina, I. B., Ceneda, D., El-Assady, M., Miksch, S., & Sperrle, F. (2022). A Typology of Guidance Tasks in Mixed‐Initiative Visual Analytics Environments. Computer Graphics Forum, 41(3), 465–476. https://doi.org/10.1111/cgf.14555 / Projects: DoRIAH, GuidedVA, KnoVA
  • A Typology of Guidance in Mixed-Initiative Visual Analytics Environments / Perez Messina, I. B., Ceneda, D., & Miksch, S. (2022, June 16). A Typology of Guidance in Mixed-Initiative Visual Analytics Environments [Conference Presentation]. EuroVis 2022, Rom, Italy. / Projects: DoRIAH, KnoVA
  • Visual Parameter Selection for Spatial Blind Source Separation / Piccolotto, N., Bögl, M., Mühlmann, C., Nordhausen, K., Filzmoser, P., & Miksch, S. (2022, June 15). Visual Parameter Selection for Spatial Blind Source Separation [Conference Presentation]. EuroVis 2022, Rome, Italy.
  • Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics / Ceneda, D., Arleo, A., Gschwandtner, T., & Miksch, S. (2022, June 14). Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics [Conference Presentation]. EuroVis 2022, Rom, Italy. https://doi.org/10.1109/TVCG.2021.3094870 / Projects: DoRIAH, GuidedVA, KnoVA
  • Preface / Lee, B., Miksch, S., Ynnerman, A., Bezerianos, A., Chen, J., Chen, W., Collins, C., Gleicher, M., Gröller, E., Lex, A., Preim, B., Seo, J., Westermann, R., Yang, J., Yuan, X., Shen, H.-W., Fekete, J.-D., & Liu, S. (2022). Preface. IEEE Transactions on Visualization and Computer Graphics, 28(1), xiv–xxiii. https://doi.org/10.1109/TVCG.2021.3114891
  • Visual Parameter Selection for Spatial Blind Source Separation / Piccolotto, N., Bögl, M., Muehlmann, C., Nordhausen, K., Filzmoser, P., & Miksch, S. (2022). Visual Parameter Selection for Spatial Blind Source Separation. Computer Graphics Forum, 41(3), 157–168. https://doi.org/10.1111/cgf.14530
  • VIS 2021 - Preface / Lee, B., Miksch, S., Ynnerman, A., Bezerianos, A., Chen, J., Chen, W., Collins, C., Gleicher, M., Gröller, E., Lex, A., Preim, B., Seo, J., Westermann, R., Yang, J., Yuan, X., Shen, H. W., Fekete, J. D., & Liu, S. (2022). VIS 2021 - Preface. IEEE Transactions on Visualization and Computer Graphics, 28(1), XIV–XXIII. https://doi.org/10.1109/TVCG.2021.3114891
  • Perspectives of Visualization Onboarding and Guidance in VA / Stoiber, C., Ceneda, D., Wagner, M., Schetinger, V., Gschwandtner, T., Streit, M., Miksch, S., & Aigner, W. (2022). Perspectives of Visualization Onboarding and Guidance in VA. Visual Informatics, 6(1), 68–83. https://doi.org/10.1016/j.visinf.2022.02.005

2021

2020

2019

2018

2017

  • Amending the Characterization of Guidance in Visual Analytics / Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Schulz, H.-J., Streit, M., & Tominski, C. (2017). Amending the Characterization of Guidance in Visual Analytics. arXiv. https://doi.org/10.48550/arXiv.1710.06615
  • Characterizing Guidance in Visual Analytics / Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Schulz, H.-J., Streit, M., & Tominski, C. (2017). Characterizing Guidance in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 23(1), 111–120. https://doi.org/10.1109/tvcg.2016.2598468
  • Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction / Bögl, M., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Leite, R. A., Miksch, S., & Rind, A. (2017). Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction. Computer Graphics Forum, 36(3), 227–238. http://hdl.handle.net/20.500.12708/146628 / Project: VISSECT
  • EVA: Visual Analytics to Identify Fraudulent Events / Leite, R. A., Gschwandtner, T., Miksch, S., Kriglstein, S., Pohl, M., Gstrein, E., & Kuntner, J. (2017). EVA: Visual Analytics to Identify Fraudulent Events. IEEE VIS Conference, Phoenix, AZ, USA, Non-EU. http://hdl.handle.net/20.500.12708/86534
  • Visual Support for Rastering of Unequally Spaced Time Series / Bors, C., Bögl, M., Gschwandtner, T., & Miksch, S. (2017). Visual Support for Rastering of Unequally Spaced Time Series. Data Science, Statistics & Visualisation, Lissabon, EU. http://hdl.handle.net/20.500.12708/86514 / Project: VISSECT
  • Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction / Bögl, M., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Leite, R. A., Miksch, S., & Rind, A. (2017). Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction. Eurographics / IEEE VGTC Conference on Visualization (EuroVis 2017), Barcelona, Spain, EU. http://hdl.handle.net/20.500.12708/86509 / Project: VISSECT
  • The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics / Federico, P., Wagner, M., Rind, A., Amor-Amoros, A., Miksch, S., & Aigner, W. (2017). The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics. In Proceedings of the IEEE Conference on Visual Analytics Science and Technology (IEEE VAST 2017) (pp. 1–12). http://hdl.handle.net/20.500.12708/56998
  • Visual support for rastering of unequally spaced time series / Bors, C., Bögl, M., Gschwandtner, T., & Miksch, S. (2017). Visual support for rastering of unequally spaced time series. In R. P. Biuk-Aghai, J. Li, & S. Takahashi (Eds.), Proceedings of the 10th International Symposium on Visual Information Communication and Interaction. ACM International Conference Proceeding Series. https://doi.org/10.1145/3105971.3105984 / Project: VISSECT
  • Visual Analytics for Multitemporal Aerial Image Georeferencing / Amor-Amoros, A., Federico, P., Miksch, S., Zambanini, S., Brenner, S., & Sablatnig, R. (2017). Visual Analytics for Multitemporal Aerial Image Georeferencing. In M. Sedlmair & C. Tominski (Eds.), Proceedings of the EuroVis Workshop on Visual Analytics (EuroVA) (pp. 55–59). https://doi.org/10.2312/eurova.20171120
  • Images of Time: Visual Representation of Time-Oriented Data / Tominski, C., Aigner, W., Miksch, S., & Schumann, H. (2017). Images of Time: Visual Representation of Time-Oriented Data. In Information Design: Research and Practice (pp. 23–42). Routledge. http://hdl.handle.net/20.500.12708/29672

2016

  • Characterizing Guidance in Visual Analytics / Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Schulz, H.-J., Streit, M., & Tominski, C. (2016). Characterizing Guidance in Visual Analytics (p. 120). http://hdl.handle.net/20.500.12708/86330
  • Visual Encodings of Temporal Uncertainty: A Comparative User Study / Gschwandtner, T., Bögl, M., Federico, P., & Miksch, S. (2016). Visual Encodings of Temporal Uncertainty: A Comparative User Study. IEEE Transactions on Visualization and Computer Graphics, 22(1), 539–548. https://doi.org/10.1109/tvcg.2015.2467752
  • The State-of-the-Art of Set Visualization / Alsallakh, B., Micallef, L., Aigner, W., Hauser, H., Miksch, S., & Rodgers, P. (2016). The State-of-the-Art of Set Visualization. Computer Graphics Forum, 35(1), 234–260. http://hdl.handle.net/20.500.12708/150103
  • A Survey on Visual Approaches for Analyzing Scientific Literature and Patents / Federico, P., Heimerl, F., Koch, S., & Miksch, S. (2016). A Survey on Visual Approaches for Analyzing Scientific Literature and Patents. IEEE Transactions on Visualization and Computer Graphics, 23(9), 2179–2198. https://doi.org/10.1109/tvcg.2016.2610422 / Project: EXPAND
  • Visual Analytics for Fraud Detection: Focusing on Profile Analysis / Almeida Leite, R., Gschwandtner, T., Miksch, S., Gstrein, E., & Kuntner, J. (2016). Visual Analytics for Fraud Detection: Focusing on Profile Analysis. In T. Isenberg & F. Sadlo (Eds.), Poster proceedings of Eurographics Conference on Visualization (EuroVis 2016) (p. 3). http://hdl.handle.net/20.500.12708/56485
  • Reframing Cultural Heritage Collections in a Visualization Framework of Space-Time Cubes / Windhager, F., Mayr, E., Schreder, G., Smuc, M., Federico, P., & Miksch, S. (2016). Reframing Cultural Heritage Collections in a Visualization Framework of Space-Time Cubes. In Proceedings of the 3rd HistoInformatics Workshop on Computational History (HistoInformatics 2016), (pp. 20–24). CEUR-WS. http://hdl.handle.net/20.500.12708/55430 / Project: Space-Time Cube
  • Guiding the Visualization of Time-oriented Data / Ceneda, D., Aigner, W., Bögl, M., Gschwandtner, T., & Miksch, S. (2016). Guiding the Visualization of Time-oriented Data. In Proceedings of IEEE VIS. IEEE Visualization, Minneapolis, USA, Austria. http://hdl.handle.net/20.500.12708/56578
  • Visually-supported graph traversals for exploratory analysis / Amor-Amoros, A., Federico, P., & Miksch, S. (2016). Visually-supported graph traversals for exploratory analysis. In Proceedings of IEEE VIS (p. 2). http://hdl.handle.net/20.500.12708/56552 / Project: EXPAND
  • A Nested Workflow Model for Visual Analytics Design and Validation / Federico, P., Amor-Amorós, A., & Miksch, S. (2016). A Nested Workflow Model for Visual Analytics Design and Validation. In Proceedings of the Beyond Time and Errors on Novel Evaluation Methods for Visualization - BELIV ’16. Sixth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualisation (BELIV ´16), Baltimore, MD, USA, Non-EU. ACM. https://doi.org/10.1145/2993901.2993915 / Project: DeVisOR
  • Evaluation of Two Interaction Techniques for Visualization of Dynamic Graphs / Federico, P., & Miksch, S. (2016). Evaluation of Two Interaction Techniques for Visualization of Dynamic Graphs. In Lecture Notes in Computer Science (pp. 557–571). Springer. https://doi.org/10.1007/978-3-319-50106-2_43 / Project: EXPAND
  • Visualization of Cultural Heritage Data for Casual Users / Mayr, E., Federico, P., Miksch, S., Schreder, G., Smuc, M., & Windhager, F. (2016). Visualization of Cultural Heritage Data for Casual Users. In Workshop on Visualization for the Digital Humanities (p. 4). http://hdl.handle.net/20.500.12708/56535 / Project: Space-Time Cube

2015

  • Exploration and Assessment of Event Data / Bodesinsky, P., Alsallakh, B., Gschwandtner, T., & Miksch, S. (2015). Exploration and Assessment of Event Data. In E. Bertini & J. C. Roberts (Eds.), EuroVA 2015 EuroVis Workshop on Visual Analytics (pp. 67–71). The Eurographics Association. https://doi.org/10.2312/eurova.20151106
  • Gnaeus: utilizing clinical guidelines for a knowledge-assisted visualisation of EHR cohorts / Federico, P., Unger, J., Amor-Amoros, A., Sacchi, L., Klimov, D., & Miksch, S. (2015). Gnaeus: utilizing clinical guidelines for a knowledge-assisted visualisation of EHR cohorts. In E. Bertini & J. C. Roberts (Eds.), EuroVA 2015 EuroVis Workshop on Visual Analytics (pp. 79–83). The Eurographics Association. https://doi.org/10.2312/eurova.20151108 / Project: MobiGuide
  • Integrating Predictions in Time Series Model Selection / Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2015). Integrating Predictions in Time Series Model Selection. In J. Yang, E. Bertini, N. Elmqvist, T. Dwyer, X. Yuan, & H. Carr (Eds.), EuroVA 2015 EuroVis Workshop on Visual Analytics (pp. 73–78). The Eurographics Association. https://doi.org/10.2312/eurova.20151107 / Project: HypoVis
  • Integrating Predictions in Time Series Model Selection / Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2015). Integrating Predictions in Time Series Model Selection. The Sixth International EuroVis Workshop on Visual Analytics (EuroVA), Cagliari, Italy, EU. https://doi.org/10.2312/eurova.20151107 / Project: HypoVis
  • Task Cube: A Three-Dimensional Conceptual Space of User Tasks in Visualization Design and Evaluation / Rind, A., Aigner, W., Wagner, M., Miksch, S., & Lammarsch, T. (2015). Task Cube: A Three-Dimensional Conceptual Space of User Tasks in Visualization Design and Evaluation. Information Visualization, 15(4), 288–300. https://doi.org/10.1177/1473871615621602 / Project: HypoVis
  • Visual Analytics Meets Process Mining: Challenges and Opportunities / Gschwandtner, T., & Miksch, S. (2015). Visual Analytics Meets Process Mining: Challenges and Opportunities. Fifth International Symposium on Data-Driven Process Discovery and Analysis, Wien, Austria. http://hdl.handle.net/20.500.12708/86356
  • Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series / Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2015). Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series. In J. Yang, E. Bertini, N. Elmqvist, T. Dwyer, X. Yuan, & H. Carr (Eds.), Poster Proceedings of the IEEE Visualization Conference 2015 (p. 2). http://hdl.handle.net/20.500.12708/56130
  • Visual Analytics for Fraud Detection and Monitoring / Almeida Leite, R., Gschwandtner, T., Miksch, S., Gstrein, E., & Kuntner, J. (2015). Visual Analytics for Fraud Detection and Monitoring. In J. Yang, E. Bertini, N. Elmqvist, T. Dwyer, X. Yuan, & H. Carr (Eds.), Poster Proceedings of the IEEE Visualization Conference 2015 (p. 2). http://hdl.handle.net/20.500.12708/56390
  • Supporting Activity Recognition by Visual Analytics / Röhlig, M., Luboschik, M., Bögl, M., Krüger, F., Alsallakh, B., Miksch, S., Kirste, T., & Schumann, H. (2015). Supporting Activity Recognition by Visual Analytics. In Proceedings of the IEEE Conference on Visual Analytics Science and Technology (p. 8). IEEE. http://hdl.handle.net/20.500.12708/56131
  • QualityFlow: Provenance Generation from Data Quality / Bors, C., Gschwandtner, T., & Miksch, S. (2015). QualityFlow: Provenance Generation from Data Quality. In R. Maciejewski & F. Marton (Eds.), Proceedings of the Eurographics Conference on Visualization (EuroVis) - Posters 2015 (p. 3). Eurographics Association. http://hdl.handle.net/20.500.12708/56051
  • Enhancing Time Series Segmentation and Labeling Through the Knowledge Generation Model / Gschwandtner, T., Schumann, H., Bernard, J., May, T., Bögl, M., Miksch, S., Kohlhammer, J., Röhlig, M., & Alsallakh, B. (2015). Enhancing Time Series Segmentation and Labeling Through the Knowledge Generation Model. In R. Maciejewski & F. Marton (Eds.), Proceedings of the Eurographics Conference on Visualization (EuroVis) - Posters 2015 (p. 3). Eurographics Association. http://hdl.handle.net/20.500.12708/56049
  • A Concept for the Exploratory Visualization of Patent Network Dynamics / Windhager, F., Amor-Amorós, A., Smuc, M., Federico, P., Zenk, L., & Miksch, S. (2015). A Concept for the Exploratory Visualization of Patent Network Dynamics. In Proceedings of the 6th International Conference on Information Visualization Theory and Applications. The International Conference on Information Visualization Theory and Applications IVAPP, Berlin, EU. https://doi.org/10.5220/0005360002680273 / Project: EXPAND
  • Visualization Techniques for Time-Oriented Data / Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2015). Visualization Techniques for Time-Oriented Data. In Interactive Data Visualization: Foundations, Techniques, and Applications, 2nd edition (pp. 253–284). A K Peters/CRC Press. http://hdl.handle.net/20.500.12708/28671

2014

  • A Matter of Time: Applying a Data-Users-Tasks Design Triangle to Visual Analytics of Time-Oriented Data / Miksch, S., & Aigner, W. (2014). A Matter of Time: Applying a Data-Users-Tasks Design Triangle to Visual Analytics of Time-Oriented Data. Computers and Graphics, 38, 286–290. https://doi.org/10.1016/j.cag.2013.11.002 / Projects: HypoVis, VIENA
  • Visual Methods for Analyzing Probabilistic Classification Data / Alsallakh, B., Hanbury, A., Hauser, H., Miksch, S., & Rauber, A. (2014). Visual Methods for Analyzing Probabilistic Classification Data. IEEE Transactions on Visualization and Computer Graphics, 20(12), 1703–1712. https://doi.org/10.1109/tvcg.2014.2346660
  • Mind the Time: Unleashing Temporal Aspects in Pattern Discovery / Lammarsch, T., Aigner, W., Miksch, S., Bertone, A., & Rind, A. (2014). Mind the Time: Unleashing Temporal Aspects in Pattern Discovery. Computers and Graphics, 38, 38–50. https://doi.org/10.1016/j.cag.2013.10.007 / Project: HypoVis
  • Evaluating the Dot-Based Contingency Wheel: Results from a Usability and Utility Study / Pohl, M., Scholz, F., Kriglstein, S., Alsallakh, B., & Miksch, S. (2014). Evaluating the Dot-Based Contingency Wheel: Results from a Usability and Utility Study. In S. Yamamoto (Ed.), Human Interface and the Management of Information. Information and Knowledge Design and Evaluation (pp. 76–86). Springer. https://doi.org/10.1007/978-3-319-07731-4_8
  • Knowledge-assisted EHR visualization for cohorts / Federico, P., Amor-Amoros, A., & Miksch, S. (2014). Knowledge-assisted EHR visualization for cohorts. Workshop on Visualizing Electronic Health Record Data (EHRVis 2014), Paris, EU. http://hdl.handle.net/20.500.12708/85881 / Project: MobiGuide
  • Knowledge Representation for Health Care / Miksch, S., Riano, D., & ten Teije, A. (Eds.). (2014). Knowledge Representation for Health Care. Springer International Publishing. https://doi.org/10.1007/978-3-319-13281-5 / Project: MobiGuide
  • Showing Important Facts to a Critical Audience by Means Beyond Desktop Computing / Lammarsch, T., Aigner, W., Miksch, S., & Rind, A. (2014). Showing Important Facts to a Critical Audience by Means Beyond Desktop Computing. In Y. Jansen, P. Isenberg, J. Dykes, S. Carpendale, & D. Keefe (Eds.), Death of the Desktop - Envisioning Visualization without Desktop Computing. http://hdl.handle.net/20.500.12708/55768 / Project: HypoVis
  • QualityTrails: Data Quality Provenance as a Basis for Sensemaking / Bors, C., Gschwandtner, T., Miksch, S., & Gärtner, J. (2014). QualityTrails: Data Quality Provenance as a Basis for Sensemaking. In K. Xu, S. Attfield, & T. J. Jankun-Kelly (Eds.), Proceedings of the IEEE VIS Workshop on Provenance for Sensemaking (pp. 1–2). http://hdl.handle.net/20.500.12708/55302
  • User tasks for evaluation / Rind, A., Aigner, W., Wagner, M., Miksch, S., & Lammarsch, T. (2014). User tasks for evaluation. In Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization. Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV 2014), Paris, Frankreich, EU. ACM digital library. https://doi.org/10.1145/2669557.2669568
  • Experiences and Challenges with Evaluation Methods in Practice: A Case Study / Kriglstein, S., Pohl, M., Suchy, N., Gärtner, J., Gschwandtner, T., & Miksch, S. (2014). Experiences and Challenges with Evaluation Methods in Practice: A Case Study. In Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV 2014) (pp. 118–125). ACM digital library. http://hdl.handle.net/20.500.12708/55292
  • TimeCleanser / Gschwandtner, T., Aigner, W., Miksch, S., Gärtner, J., Kriglstein, S., Pohl, M., & Suchy, N. (2014). TimeCleanser. In S. Lindstaedt, M. Granitzer, & H. Sack (Eds.), Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business - i-KNOW ’14. ACM Press. https://doi.org/10.1145/2637748.2638423
  • Analyzing Parameter Influence on Time-Series Segmentation and Labeling / Röhlig, M., Luboschik, M., Schumann, H., Bögl, M., Alsallakh, B., & Miksch, S. (2014). Analyzing Parameter Influence on Time-Series Segmentation and Labeling. In G. Andrienko, E. Bertini, H. Carr, N. Elmqvist, B. Lee, & H. Leitte (Eds.), Poster Proceedings of the IEEE Visualization Conference 2014. http://hdl.handle.net/20.500.12708/55193
  • TimeGraph: a data management framework for Visual Analytics of large multivariate time-oriented networks / Amor-Amoros, A., Federico, P., & Miksch, S. (2014). TimeGraph: a data management framework for Visual Analytics of large multivariate time-oriented networks. In Poster Proceedings of the IEEE Visualization Conference 2014. IEEE Visualization, Minneapolis, USA, Austria. http://hdl.handle.net/20.500.12708/55158 / Project: EXPAND
  • Towards a Visualization of Multi-faceted Search Results / Alsallakh, B., Miksch, S., & Rauber, A. (2014). Towards a Visualization of Multi-faceted Search Results. In Workshop on Knowledge Maps and Information Retrieval (KMIR). Workshop on Knowledge Maps and Information Retrieval (KMIR), at the the ACM/IEEE Joint Conference on Digital Libraries, London, EU. http://hdl.handle.net/20.500.12708/55156
  • Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions / Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2014). Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions. In Proceedings of the 2014 IEEE VIS Workshop on Visualization for Predictive Analytics (p. 4). http://hdl.handle.net/20.500.12708/55730
  • Visual Process Mining: Event Data Exploration and Analysis / Bodesinsky, P., Alsallakh, B., Gschwandtner, T., & Miksch, S. (2014). Visual Process Mining: Event Data Exploration and Analysis. In G. Andrienko, E. Bertini, H. Carr, N. Elmqvist, B. Lee, & H. Leitte (Eds.), VAST Poster Proceedings of the IEEE Visualization Conference (VIS 2014) (p. 2). http://hdl.handle.net/20.500.12708/55817
  • Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges / Alsallakh, B., Micallef, L., Aigner, W., Hauser, H., Miksch, S., & Rodgers, P. (2014). Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges. In R. Borgo, R. Maciejewski, & I. Viola (Eds.), Eurographics Conference on Visualization - State of The Art Reports (pp. 1–21). Eurographics. https://doi.org/10.2312/eurovisstar.20141170
  • A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data / Alsallakh, B., Bögl, M., Gschwandtner, T., Miksch, S., Esmael, B., Arnaout, A., Thonhauser, G., & Zöllner, P. (2014). A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data. In M. Pohl & J. C. Roberts (Eds.), EuroVis Workshop on Visual Analytics (EuroVA) (pp. 31–35). Eurographics. https://doi.org/10.2312/eurova.20141142
  • Qualizon graphs / Federico, P., Hoffmann, S., Rind, A., Aigner, W., & Miksch, S. (2014). Qualizon graphs. In Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces - AVI ’14. 12th International Working Conference on Advanced Visual Interfaces (AVI2014), Como (Italy), EU. ACM. https://doi.org/10.1145/2598153.2598172 / Project: MobiGuide
  • Temporal Multivariate Networks / Archambault, D., Abello, J., Kennedy, J., Kobourov, S., Ma, K.-L., Miksch, S., Muelder, C., & Telea, A. C. (2014). Temporal Multivariate Networks. In Multivariate Network Visualization (pp. 151–174). Springer. https://doi.org/10.1007/978-3-319-06793-3_8 / Project: EXPAND

2013

  • TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data / Rind, A., Lammarsch, T., Aigner, W., Alsallakh, B., & Miksch, S. (2013). TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2247–2256. https://doi.org/10.1109/tvcg.2013.206 / Project: HypoVis
  • Radial Sets: Interactive Visual Analysis of Large Overlapping Sets / Alsallakh, B., Aigner, W., Miksch, S., & Hauser, H. (2013). Radial Sets: Interactive Visual Analysis of Large Overlapping Sets. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2496–2505. https://doi.org/10.1109/tvcg.2013.184
  • Interactive Information Visualization to Explore and Query Electronic Health Records / Rind, A., Wang, T. D., Aigner, W., Miksch, S., Wongsuphasawat, K., Plaisant, C., & Shneiderman, B. (2013). Interactive Information Visualization to Explore and Query Electronic Health Records. Foundations and Trends in Human-Computer Interaction, 5(3), 207–298. https://doi.org/10.1561/1100000039 / Project: HypoVis
  • Visual Analytics for Model Selection in Time Series Analysis / Bögl, M., Aigner, W., Filzmoser, P., Lammarsch, T., Miksch, S., & Rind, A. (2013). Visual Analytics for Model Selection in Time Series Analysis. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2237–2246. https://doi.org/10.1109/tvcg.2013.222 / Project: HypoVis
  • Radial Sets: Interactive Visual Analysis of Large Overlapping Sets / Alsallakh, B., Aigner, W., Miksch, S., & Hauser, H. (2013). Radial Sets: Interactive Visual Analysis of Large Overlapping Sets. IEEE Conference on Information Visualization (InfoVis 2013), Atlanta, Non-EU. http://hdl.handle.net/20.500.12708/85612
  • Visual Analytics for Model Selection in Time Series Analysis / Bögl, M., Aigner, W., Filzmoser, P., Lammarsch, T., Miksch, S., & Rind, A. (2013). Visual Analytics for Model Selection in Time Series Analysis. IEEE Conference on Visual Analytics Science and Technology (IEEE VAST), Atlanta, GA, USA, Non-EU. http://hdl.handle.net/20.500.12708/85611 / Project: HypoVis
  • TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data / Rind, A., Lammarsch, T., Aigner, W., Alsallakh, B., & Miksch, S. (2013). TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data. IEEE Conference on Visual Analytics Science and Technology (IEEE VAST), Atlanta, GA, USA, Non-EU. http://hdl.handle.net/20.500.12708/85606 / Project: HypoVis
  • Visual Analysis of Compliance with Clinical Guidelines / Bodesinsky, P., Federico, P., & Miksch, S. (2013). Visual Analysis of Compliance with Clinical Guidelines. In Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies - i-Know ’13. 13th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW), Graz, Austria. ACM. https://doi.org/10.1145/2494188.2494202 / Project: MobiGuide
  • Supporting Computer-Interpretable Guidelines' Modeling by Automatically Classifying Clinical Actions / Minard, A.-L., & Kaiser, K. (2013). Supporting Computer-Interpretable Guidelines’ Modeling by Automatically Classifying Clinical Actions. In D. Riano, R. Lenz, S. Miksch, M. Peleg, M. Reichert, & A. ten Teije (Eds.), Proceedings of the Joint International Workshop: 5th Knowledge Representation for Health Care (KR4HC’13) + 6th Process-Oriented Information Systems in Healthcare (ProHealth’13) (pp. 30–44). http://hdl.handle.net/20.500.12708/54645 / Projects: Brigid, MobiGuide
  • Identifying Condition-Action Sentences Using a Heuristic-based Information Extraction Method / Wenzina, R., & Kaiser, K. (2013). Identifying Condition-Action Sentences Using a Heuristic-based Information Extraction Method. In D. Riano, R. Lenz, S. Miksch, M. Peleg, M. Reichert, & A. ten Teije (Eds.), Proceedings of the Joint International Workshop: 5th Knowledge Representation for Health Care (KR4HC’13) + 6th Process-Oriented Information Systems in Healthcare (ProHealth’13) (pp. 17–29). http://hdl.handle.net/20.500.12708/54644 / Project: Brigid
  • Mind the Time: Unleashing the Temporal Aspects in Pattern Discovery / Lammarsch, T., Aigner, W., Bertone, A., Miksch, S., & Rind, A. (2013). Mind the Time: Unleashing the Temporal Aspects in Pattern Discovery. In M. Pohl & H. Schumann (Eds.), Proceedings of the Fourth International EuroVis Workshop on Visual Analytics held in Europe (EuroVA 2013) (pp. 31–35). Eurographics Publications. https://doi.org/10.2312/PE.EuroVAST.EuroVA13.031-035 / Project: HypoVis
  • Interactive Visual Transformation for Symbolic Representation of Time-Oriented Data / Lammarsch, T., Aigner, W., Bertone, A., Bögl, M., Gschwandtner, T., Miksch, S., & Rind, A. (2013). Interactive Visual Transformation for Symbolic Representation of Time-Oriented Data. In A. Holzinger, M. Ziefle, & V. Glavinić (Eds.), Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data (pp. 400–419). Springer. https://doi.org/10.1007/978-3-642-39146-0_37
  • Visualizing Complex Process Hierarchies During the Modeling Process / Seyfang, A., Kaiser, K., Gschwandtner, T., & Miksch, S. (2013). Visualizing Complex Process Hierarchies During the Modeling Process. In M. La Rosa & P. Soffer (Eds.), BPM 2012 International Workshops (pp. 768–779). Springer. http://hdl.handle.net/20.500.12708/54200 / Project: Brigid
  • Supporting Shared Decision Making within the MobiGuide Project / Quaglini, S., Shahar, Y., Peleg, M., Miksch, S., Napolitano, C., Rigla, M., Pallàs, A., Parimbelli, E., & Sacchi, L. (2013). Supporting Shared Decision Making within the MobiGuide Project. In Proceedings of the AMIA Annual Symposium (pp. 1175–1184). American Medical Informatics Association (AMIA). http://hdl.handle.net/20.500.12708/54900 / Project: MobiGuide
  • Process Support and Knowledge Representation in Health Care / Process Support and Knowledge Representation in Health Care. (2013). In R. Lenz, S. Miksch, M. Peleg, M. Reichert, D. Riano, & A. ten Teije (Eds.), Lecture Notes in Computer Science. Springer-Verlag, Lecture Notes in Artificial Intelligence 8268. https://doi.org/10.1007/978-3-642-36438-9 / Project: MobiGuide
  • Identifying Condition-Action Sentences Using a Heuristic-Based Information Extraction Method / Wenzina, R., & Kaiser, K. (2013). Identifying Condition-Action Sentences Using a Heuristic-Based Information Extraction Method. In D. Riano, R. Lenz, S. Miksch, M. Peleg, M. Reichert, & A. ten Teije (Eds.), Lecture Notes in Computer Science (pp. 26–38). Springer Verlag, LNAI 8268. https://doi.org/10.1007/978-3-319-03916-9_3 / Project: Brigid
  • Supporting Computer-interpretable Guidelines’ Modeling by Automatically Classifying Clinical Actions / Minard, A.-L., & Kaiser, K. (2013). Supporting Computer-interpretable Guidelines’ Modeling by Automatically Classifying Clinical Actions. In D. Riano, R. Lenz, S. Miksch, M. Peleg, M. Reichert, & A. ten Teije (Eds.), Lecture Notes in Computer Science (pp. 39–52). Springer Verlag, LNAI 8268. https://doi.org/10.1007/978-3-319-03916-9_4 / Projects: Brigid, MobiGuide
  • How Do You Connect Moving Dots? Insights from User Studies on Dynamic Network Visualizations / Smuc, M., Federico, P., Windhager, F., Aigner, W., Zenk, L., & Miksch, S. (2013). How Do You Connect Moving Dots? Insights from User Studies on Dynamic Network Visualizations. In W. Huang (Ed.), Handbook of Human Centric Visualization (pp. 623–650). Springer. https://doi.org/10.1007/978-1-4614-7485-2_25
  • Process Support and Knowledge Representation in Health Care / Process Support and Knowledge Representation in Health Care. (2013). In D. Riano, R. Lenz, S. Miksch, M. Peleg, M. Reichert, & A. ten Teije (Eds.), Lecture Notes in Computer Science. Springer-Verlag, Lecture Notes in Artificial Intelligence 8268. https://doi.org/10.1007/978-3-319-03916-9 / Project: MobiGuide

2012

2011

2010

2009

2008

2007

2006

2005

2004

  • TimeWrap - A Method for Automatic Transformation of Structured Guideline Components into Formal Process-Representations / Kaiser, K., & Miksch, S. (2004). TimeWrap - A Method for Automatic Transformation of Structured Guideline Components into Formal Process-Representations. In J. Zvárová, P. Hanzlicek, J. Peleska, P. Precková, V. Svátek, & Z. Valenta (Eds.), Proceedings of the International Joint Meeting EuroMISE 2004 (p. 95). EuroMISE. http://hdl.handle.net/20.500.12708/50961
  • CareVis: Integrated Visualization of Computerized Protocols and Temporal Patient Data / Aigner, W., & Miksch, S. (2004). CareVis: Integrated Visualization of Computerized Protocols and Temporal Patient Data. In Workshop Notes of the Workshop on Intelligent Data Analyis in Medicine and Pharmacology (pp. 55–60). http://hdl.handle.net/20.500.12708/50964
  • Protocure: Supporting the Development of Medical Protocols Through Formal Methods / Balser, M., Coltell, O., van Croonenborg, J., Duelli, C., van Harmelen, F., Jovell, A., Lucas, P., Marcos, M., Miksch, S., Reif, W., Rosenbrand, K., Seyfang, A., & ten Teije, A. (2004). Protocure: Supporting the Development of Medical Protocols Through Formal Methods. In J. Zvárová, P. Hanzlicek, J. Peleska, P. Precková, V. Svátek, & Z. Valenta (Eds.), Proceedings of the International Joint Meeting EuroMISE 2004 (p. 81). EuroMISE. http://hdl.handle.net/20.500.12708/50978
  • Protocure: Supporting the Development of Medical Protocols Through Formal Methods / Balser, M., Coltell, O., van Croonenborg, J., Duelli, C., van Harmelen, F., Jovell, A., Lucas, P., Marcos, M., Miksch, S., Reif, W., Rosenbrand, K., Seyfang, A., & ten Teije, A. (2004). Protocure: Supporting the Development of Medical Protocols Through Formal Methods. In K. Kaiser, S. Miksch, & S. W. Tu (Eds.), Computer-based Support for Clinical Guidelines and Protocols (pp. 103–107). http://hdl.handle.net/20.500.12708/50976
  • Advanced Temporal Data Abstraction for Guideline Execution / Seyfang, A., & Miksch, S. (2004). Advanced Temporal Data Abstraction for Guideline Execution. In K. Kaiser, S. Miksch, & S. W. Tu (Eds.), Computer-based Support for Clinical Guidelines and Protocols (pp. 88–102). IOS Press. http://hdl.handle.net/20.500.12708/50969
  • Advanced Temporal Data Abstraction for Guideline Execution / Seyfang, A., & Miksch, S. (2004). Advanced Temporal Data Abstraction for Guideline Execution. In J. Zvárová, P. Hanzlicek, J. Peleska, P. Precková, V. Svátek, & Z. Valenta (Eds.), Proceedings of the International Joint Meeting EuroMISE 2004 (p. 94). EuroMISE. http://hdl.handle.net/20.500.12708/50968
  • Communicating the Logic of a Treatment Plan Formulated in Asbru to Domain Experts / Aigner, W., & Miksch, S. (2004). Communicating the Logic of a Treatment Plan Formulated in Asbru to Domain Experts. In J. Zvárová, P. Hanzlicek, J. Peleska, P. Precková, V. Svátek, & Z. Valenta (Eds.), Proceedings of the International Joint Meeting EuroMISE 2004 (p. 75). EuroMISE. http://hdl.handle.net/20.500.12708/50962
  • Specification of AsbruLight / Seyfang, A., Miksch, S., & Votruba, P. (2004). Specification of AsbruLight. http://hdl.handle.net/20.500.12708/33014
  • MHB - A Many-Headed Bridge between Guideline Formats / Seyfang, A., Miksch, S., Votruba, P., Rosenbrand, K., Wittenberg, J., van Croonenborg, J., Reif, W., Balser, M., Schmitt, J., von der Weide, T., Lucas, P., & Hommersom, A. (2004). MHB - A Many-Headed Bridge between Guideline Formats. http://hdl.handle.net/20.500.12708/33013
  • Treating Temporal Information in Plan and Process Modeling / Kaiser, K., & Miksch, S. (2004). Treating Temporal Information in Plan and Process Modeling. http://hdl.handle.net/20.500.12708/32942

2003

2002

 

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

  • Bridging the Gap between Visual Analytics and Digital Humanities: Beyond the Data-Users-Tasks Design Triangle
    2019 / Best Paper Award at VIS workshop vis4dh (IEEE VIS Conference) / USA / Website
  • The Fabric of Heroes: an Infographic about Marvel Cinematic Universe
    2019 / Third prize winner at International Symposium on Graph Drawing and Network Visualization Creative Topic Challenge, Contest / Czech Republic / Website
  • The Circle Of Thrones: Conveying the Story of Game of Thrones Using Radial Infographics
    2018 / Third prize winner at International Symposium on Graph Drawing and Network Visualization Creative Topic Challenge, Contest / Spain / Website
  • Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series
    2015 / Best Poster Award at IEEE Conference on Visual Analytics Science and Technology (VAST) / USA
  • Recognition of Service Award
    2012 / Eurographics: European Association for Computer Graphics
  • Honorable Mention at IEEE Conference on Visual Analytics Science and Technology (VAST) 2012
    2012 / IEEE Computer Society Visualization & Graphics Technical Committee (VGTC) / USA
  • Karl Ritter von Ghega Award of Recognition for the research project "VisuExplore"
    2010 / Karl-Ritter-von-Ghega-Preis / Austria
  • Top Cited Article 2005-2010 in Computers and Graphics
    2010 / Pergamon/Elsevier / Netherlands
  • Karl Ritter von Ghega Award of Recognition for the research project "DisCo"
    2008 / Karl-Ritter-von-Ghega-Preis / Austria

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Silvia Miksch’s research profile in TISS .