Department of Computer Science

Visualization & HCI

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Prof. Dr. Heike Leitte
Chair, Visual Information Analysis
Office 36-229 (by appointment)
Tel. +49 631 205-3054
Email leitte@rptu.de
Heike Leitte
Research Interests
  • Interactive visual data exploration / Visual analytics
  • Explainable machine learning
  • Informed machine learning and Knowledge-assisted visualization
  • Feature-based data analysis using machine learning, topology, and information theory
  • High-dimensional data exploration
  • Theoretic foundations of data visualization
  • Data analysis in the Jupyter notebook
  • Applications in Geosciences, Engineering, Biology
Education
  • 2009 Dr. rer. nat. (Ph. D.) in Computer Science (summa cum laude), Universität Leipzig
  • 2006 Diplom (M. Sc.), Computer Science, Universität Leipzig
Professional Experience
  • since 2020 Member of the Senior Management Board of NFDI4Plants (DataPlant)
  • since 2017 Principal Investigator in the DFG-funded International Research Training Group 2057 "Physical Modeling for Virtual Manufacturing Systems and Processes"
  • 2017-2020 Scientific coordinator in the Carl Zeiss Centrum for Physical Modeling and Simulation (CePMS)
  • since 2015 Full Professor (W2) for Visual Information Analysis, Technische Universität Kaiserslautern
  • 2014 – 2015 Principal Investigator in the DFG-funded Research Training Group 1653 „Spatio / Temporal Probabilistic Graphical Models and Applications in Image Analysis”
  • 2010-2015 Juniorprofessor (W1) for Visualization, Ruprecht-Karls University Heidelberg
  • 2013 – 2015 Member of the Research Council (Field of Focus 2 – Struktur- und Musterbildung in der materiellen Welt), University of Heidelberg
  • 2010 – 2015 Member of the scientific committee of DFG-funded Graduate School HGSMathComp, University of Heidelberg
  • 2010 – 2016 Member of the extended board of directors of the Interdsciplinary Center for Scientific Computing (IWR), University of Heidelberg
  • 2009–2010 Postdoctoral Researcher, Swansea University, UK
  • 2006–2009 Research Assistant, Department of Computer Science, University of Leipzig
Awards
  • 2019 Best Paper Award at IEEE Symposium on Visualization for Cyber Security (VizSec)
  • 2018 Best Paper Award at IEEE 8th Symposium on Large Data Analysis and Visualization (LDAV)
  • 2017 Best Full Paper Award at EuroVis 2017 (19th EG/IEEE VGTC Conference on Visualization)
Publications
2023
  1. J.-T. Sohns, C. Garth, and H. Leitte. Decision Boundary Visualization for Counterfactual Reasoning. Comput. Graph. Forum, vol. 42, no. 1, pp. 7–20, 2023. 10.1111/cgf.14650 
    @article{DBLP:journals/cgf/SohnsGL23,
  author = {Sohns, Jan{-}Tobias and Garth, Christoph and Leitte, Heike},
  title = {Decision Boundary Visualization for Counterfactual Reasoning},
  journal = {Comput. Graph. Forum},
  volume = {42},
  number = {1},
  pages = {7--20},
  year = {2023},
  url = {https://doi.org/10.1111/cgf.14650},
  doi = {10.1111/cgf.14650}
}
2022
  1. F. Wetzels, H. Leitte, and C. Garth. Branch Decomposition-Independent Edit Distances for Merge Trees. Computer Graphics Forum, vol. 41, no. 3, pp. 367–378, 2022. https://doi.org/10.1111/cgf.14547 
    @article{https://doi.org/10.1111/cgf.14547,
  author = {Wetzels, Florian and Leitte, Heike and Garth, Christoph},
  title = {Branch Decomposition-Independent Edit Distances for Merge Trees},
  journal = {Computer Graphics Forum},
  volume = {41},
  number = {3},
  pages = {367-378},
  doi = {https://doi.org/10.1111/cgf.14547},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.14547},
  eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.14547},
  year = {2022}
}
  2. C. Kappe, M. Böttinger, and H. Leitte. Topology-based feature analysis of scalar field ensembles: An application to climate (change) analysis. Computers & Graphics, 2022. 10.1016/j.cag.2022.03.004 
    @article{KAPPE2022,
  title = {Topology-based feature analysis of scalar field ensembles: An application to climate (change) analysis},
  journal = {Computers & Graphics},
  year = {2022},
  issn = {0097-8493},
  doi = {10.1016/j.cag.2022.03.004},
  author = {Kappe, Christopher and B{\"o}ttinger, Michael and Leitte, Heike},
  keywords = {Computers and graphics, Formatting, Guidelines}
}
  3. A. Lohfink, S. Anton, H. Leitte, and C. Garth. Knowledge Rocks: Adding Knowledge Assistance to Visualization Systems. IEEE Transactions on Visualization & Computer Graphics, vol. 28, no. 01, pp. 1117–1127, Jan. 2022. 10.1109/TVCG.2021.3114687 
    @article{lagg21,
  author = {Lohfink, A. and Anton, S. and Leitte, H. and Garth, C.},
  journal = {IEEE Transactions on Visualization & Computer Graphics},
  title = {Knowledge Rocks: Adding Knowledge Assistance to Visualization Systems},
  year = {2022},
  volume = {28},
  number = {01},
  issn = {1941-0506},
  pages = {1117-1127},
  keywords = {data visualization;ontologies;knowledge based systems;lesions;computer architecture;rocks;security},
  doi = {10.1109/TVCG.2021.3114687},
  publisher = {IEEE Computer Society},
  address = {Los Alamitos, CA, USA},
  month = jan
}
2021
  1. P. Ruediger, C. Garth, H. Hagen, and H. Leitte. Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020), Dagstuhl, Germany, 2021, vol. 89, pp. 10:1–10:18. 10.4230/OASIcs.iPMVM.2020.10 
    @inproceedings{ruediger_et_al:OASIcs.iPMVM.2020.10,
  author = {Ruediger, Patrick and Garth, Christoph and Hagen, Hans and Leitte, Heike},
  title = {{Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles}},
  booktitle = {2nd International Conference of the DFG International Research Training Group 2057 -- Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages = {10:1--10:18},
  series = {Open Access Series in Informatics (OASIcs)},
  isbn = {978-3-95977-183-2},
  issn = {2190-6807},
  year = {2021},
  volume = {89},
  editor = {Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address = {Dagstuhl, Germany},
  url = {https://drops.dagstuhl.de/opus/volltexte/2021/13759},
  urn = {urn:nbn:de:0030-drops-137591},
  doi = {10.4230/OASIcs.iPMVM.2020.10},
  annote = {Keywords: Image Database, CinemaDB, Video Compression, Evaluation, Benchmark, In-situ}
}
2020
  1. J. Lukasczyk, C. Garth, G. H. Weber, T. Biedert, R. Maciejewski, and H. Leitte. Dynamic Nested Tracking Graphs. IEEE Trans. Vis. Comput. Graph., vol. 26, no. 1, pp. 249–258, 2020. 10.1109/TVCG.2019.2934368 
    @article{lgwb+20,
  author = {Lukasczyk, Jonas and Garth, Christoph and Weber, Gunther H. and Biedert, Tim and Maciejewski, Ross and Leitte, Heike},
  doi = {10.1109/TVCG.2019.2934368},
  journal = {{IEEE} Trans. Vis. Comput. Graph.},
  number = {1},
  pages = {249--258},
  timestamp = {Mon, 15 Jun 2020 16:51:31 +0200},
  title = {Dynamic Nested Tracking Graphs},
  url = {https://doi.org/10.1109/TVCG.2019.2934368},
  volume = {26},
  year = {2020}
}
  2. S. Miksch, H. Leitte, and M. Chen. Knowledge-Assisted Visualization and Guidance. In Foundations of Data Visualization, M. Chen, H. Hauser, P. Rheingans, and G. Scheuermann, Eds. Springer, 2020, pp. 61–85. 10.1007/978-3-030-34444-3_4 
    @incollection{mlc20,
  author = {Miksch, Silvia and Leitte, Heike and Chen, Min},
  booktitle = {Foundations of Data Visualization},
  doi = {10.1007/978-3-030-34444-3\_4},
  editor = {Chen, Min and Hauser, Helwig and Rheingans, Penny and Scheuermann, Gerik},
  pages = {61--85},
  publisher = {Springer},
  timestamp = {Thu, 20 Aug 2020 18:46:21 +0200},
  title = {Knowledge-Assisted Visualization and Guidance},
  url = {https://doi.org/10.1007/978-3-030-34444-3\_4},
  year = {2020}
}
  3. G. Aldrich, J. Lukasczyk, J. D. Hyman, G. Srinivasan, H. S. Viswanathan, C. Garth, H. Leitte, J. P. Ahrens, and B. Hamann. A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles. Comput. Sci. Eng., vol. 22, no. 2, pp. 64–76, 2020. 10.1109/MCSE.2019.2908104 
    @article{alhs+20,
  author = {Aldrich, Garrett and Lukasczyk, Jonas and Hyman, Jeffrey D. and Srinivasan, Gowri and Viswanathan, Hari S. and Garth, Christoph and Leitte, Heike and Ahrens, James P. and Hamann, Bernd},
  doi = {10.1109/MCSE.2019.2908104},
  journal = {Comput. Sci. Eng.},
  number = {2},
  pages = {64--76},
  timestamp = {Thu, 19 Mar 2020 10:24:12 +0100},
  title = {A Query-Based Framework for Searching, Sorting, and
  		  Exploring Data Ensembles},
  url = {https://doi.org/10.1109/MCSE.2019.2908104},
  volume = {22},
  year = {2020}
}
  4. A. P. Lohfink, S. D. Antón, H. D. Schotten, H. Leitte, and C. Garth. Security in Process: Visually Supported Triage Analysis in Industrial Process Data. IEEE Trans. Vis. Comput. Graph., vol. 26, no. 4, pp. 1638–1649, 2020. 10.1109/TVCG.2020.2969007 
    @article{lasl+20,
  author = {Lohfink, Anna Pia and Ant{\'{o}}n, Simon Duque and Schotten, Hans Dieter and Leitte, Heike and Garth, Christoph},
  doi = {10.1109/TVCG.2020.2969007},
  journal = {{IEEE} Trans. Vis. Comput. Graph.},
  number = {4},
  pages = {1638--1649},
  timestamp = {Sat, 30 May 2020 19:47:52 +0200},
  title = {Security in Process: Visually Supported Triage Analysis in
  		  Industrial Process Data},
  url = {https://doi.org/10.1109/TVCG.2020.2969007},
  volume = {26},
  year = {2020}
}
    Abstract: Operation technology networks, i.e. hard- and software used for monitoring and controlling physical/industrial processes, have been considered immune to cyber attacks for a long time. A recent increase of attacks in these networks proves this assumption wrong. Several technical constraints lead to approaches to detect attacks on industrial processes using available sensor data. This setting differs fundamentally from anomaly detection in IT-network traffic and requires new visualization approaches adapted to the common periodical behavior in OT-network data. We present a tailored visualization system that utilizes inherent features of measurements from industrial processes to full capacity to provide insight into the data and support triage analysis by laymen and experts. The novel combination of spiral plots with results from anomaly detection was implemented in an interactive system. The capabilities of our system are demonstrated using sensor and actuator data from a real-world water treatment process with introduced attacks. Exemplary analysis strategies are presented. Finally, we evaluate effectiveness and usability of our system and perform an expert evaluation.
2019
  1. B. Zheng, B. Rieck, H. Leitte, and F. Sadlo. Visualization of Equivalence in 2D Bivariate Fields. Comput. Graph. Forum, vol. 38, no. 3, pp. 311–323, 2019. 10.1111/cgf.13691 
    @article{zrls19,
  author = {Zheng, Boyan and Rieck, Bastian and Leitte, Heike and Sadlo, Filip},
  doi = {10.1111/cgf.13691},
  journal = {Comput. Graph. Forum},
  number = {3},
  pages = {311--323},
  timestamp = {Thu, 08 Aug 2019 01:00:00 +0200},
  title = {Visualization of Equivalence in 2D Bivariate Fields},
  url = {https://doi.org/10.1111/cgf.13691},
  volume = {38},
  year = {2019}
}
  2. B. Rieck, F. Sadlo, and H. Leitte. Topological Machine Learning with Persistence Indicator Functions. CoRR, vol. abs/1907.13496, 2019. arXiv:abs/1907.13496 
    @article{rsl19,
  archiveprefix = {arXiv},
  author = {Rieck, Bastian and Sadlo, Filip and Leitte, Heike},
  eprint = {1907.13496},
  journal = {CoRR},
  timestamp = {Fri, 02 Aug 2019 01:00:00 +0200},
  title = {Topological Machine Learning with Persistence Indicator
  		  Functions},
  url = {http://arxiv.org/abs/1907.13496},
  volume = {abs/1907.13496},
  year = {2019}
}
  3. B. Rieck, M. Banagl, F. Sadlo, and H. Leitte. Persistent Intersection Homology for the Analysis of Discrete Data. CoRR, vol. abs/1907.13485, 2019. arXiv:abs/1907.13485 
    @article{rbsl19,
  archiveprefix = {arXiv},
  author = {Rieck, Bastian and Banagl, Markus and Sadlo, Filip and Leitte, Heike},
  eprint = {1907.13485},
  journal = {CoRR},
  timestamp = {Fri, 02 Aug 2019 01:00:00 +0200},
  title = {Persistent Intersection Homology for the Analysis of
  		  Discrete Data},
  url = {http://arxiv.org/abs/1907.13485},
  volume = {abs/1907.13485},
  year = {2019}
}
  4. C. P. Kappe, M. Böttinger, and H. Leitte. Topology-based Feature Detection in Climate Data. In 7th Workshop on Visualisation in Environmental Sciences, EnvirVis@EuroVis 2019, Porto, Portugal, June 3, 2019, 2019, pp. 9–16. 10.2312/envirvis.20191099 
    @inproceedings{kbl19b,
  author = {Kappe, Christopher P. and B{\"{o}}ttinger, Michael and Leitte, Heike},
  booktitle = {7th Workshop on Visualisation in Environmental Sciences,
  		  EnvirVis@EuroVis 2019, Porto, Portugal, June 3, 2019},
  doi = {10.2312/envirvis.20191099},
  editor = {Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk},
  pages = {9--16},
  publisher = {Eurographics Association},
  timestamp = {Wed, 24 Jun 2020 16:15:01 +0200},
  title = {Topology-based Feature Detection in Climate Data},
  url = {https://doi.org/10.2312/envirvis.20191099},
  year = {2019}
}
  5. C. P. Kappe, M. Böttinger, and H. Leitte. Exploring Variability within Ensembles of Decadal Climate Predictions. IEEE Trans. Vis. Comput. Graph., vol. 25, no. 3, pp. 1499–1512, 2019. 10.1109/TVCG.2018.2810919 
    @article{kbl19a,
  author = {Kappe, Christopher P. and B{\"{o}}ttinger, Michael and Leitte, Heike},
  doi = {10.1109/TVCG.2018.2810919},
  journal = {{IEEE} Trans. Vis. Comput. Graph.},
  number = {3},
  pages = {1499--1512},
  timestamp = {Sat, 30 May 2020 01:00:00 +0200},
  title = {Exploring Variability within Ensembles of Decadal Climate
  		  Predictions},
  url = {https://doi.org/10.1109/TVCG.2018.2810919},
  volume = {25},
  year = {2019}
}
  6. C. P. Kappe, M. Böttinger, and H. Leitte. Analysis of Decadal Climate Predictions with User-guided Hierarchical Ensemble Clustering. Comput. Graph. Forum, vol. 38, no. 3, pp. 505–515, 2019. 10.1111/cgf.13706 
    @article{kbl19,
  author = {Kappe, Christopher P. and B{\"{o}}ttinger, Michael and Leitte, Heike},
  doi = {10.1111/cgf.13706},
  journal = {Comput. Graph. Forum},
  number = {3},
  pages = {505--515},
  timestamp = {Thu, 08 Aug 2019 01:00:00 +0200},
  title = {Analysis of Decadal Climate Predictions with User-guided
  		  Hierarchical Ensemble Clustering},
  url = {https://doi.org/10.1111/cgf.13706},
  volume = {38},
  year = {2019}
}
2018
  1. B. Rieck, U. Fugacci, J. Lukasczyk, and H. Leitte. Clique Community Persistence: A Topological Visual Analysis Approach for Complex Networks. IEEE Trans. Vis. Comput. Graph., vol. 24, no. 1, pp. 822–831, 2018. 10.1109/TVCG.2017.2744321 
    @article{rfll18,
  author = {Rieck, Bastian and Fugacci, Ulderico and Lukasczyk, Jonas and Leitte, Heike},
  doi = {10.1109/TVCG.2017.2744321},
  journal = {{IEEE} Trans. Vis. Comput. Graph.},
  number = {1},
  pages = {822--831},
  timestamp = {Fri, 30 Nov 2018 00:00:00 +0100},
  title = {Clique Community Persistence: {A} Topological Visual
  		  Analysis Approach for Complex Networks},
  url = {https://doi.org/10.1109/TVCG.2017.2744321},
  volume = {24},
  year = {2018}
}
  2. J. Lukasczyk, E. Kinner, J. P. Ahrens, H. Leitte, and C. Garth. VOIDGA: A View-Approximation Oriented Image Database Generation Approach. In 8th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2018, Berlin, Germany, October 21, 2018, 2018, pp. 12–22. 10.1109/LDAV.2018.8739204 
    @inproceedings{lkal+18,
  author = {Lukasczyk, Jonas and Kinner, Eric and Ahrens, James P. and Leitte, Heike and Garth, Christoph},
  booktitle = {8th {IEEE} Symposium on Large Data Analysis and
  		  Visualization, {LDAV} 2018, Berlin, Germany, October 21,
  		  2018},
  doi = {10.1109/LDAV.2018.8739204},
  pages = {12--22},
  publisher = {{IEEE}},
  timestamp = {Wed, 16 Oct 2019 14:14:53 +0200},
  title = {{VOIDGA:} {A} View-Approximation Oriented Image Database
  		  Generation Approach},
  url = {https://doi.org/10.1109/LDAV.2018.8739204},
  year = {2018}
}
  3. K. Hanser et al. Visualization of Parameter Sensitivity of 2D Time-Dependent Flow. In Advances in Visual Computing - 13th International Symposium, ISVC 2018, Las Vegas, NV, USA, November 19-21, 2018, Proceedings, 2018, vol. 11241, pp. 359–370. 10.1007/978-3-030-03801-4_32 
    @inproceedings{hkrw+18,
  author = {Hanser, Karsten and Klein, Ole and Rieck, Bastian and Wiebe, Bettina and Selz, Tobias and Piatkowski, Marian and Sagrist{\`{a}}, Antoni and Zheng, Boyan and Luk{\'{a}}cov{\'{a}}{-}Medvid'ov{\'{a}}, M{\'{a}}ria and Craig, George and Leitte, Heike and Sadlo, Filip},
  booktitle = {Advances in Visual Computing - 13th International
  		  Symposium, {ISVC} 2018, Las Vegas, NV, USA, November 19-21,
  		  2018, Proceedings},
  doi = {10.1007/978-3-030-03801-4\_32},
  editor = {Bebis, George and Boyle, Richard and Parvin, Bahram and Koracin, Darko and Turek, Matt and Ramalingam, Srikumar and Xu, Kai and Lin, Stephen and Alsallakh, Bilal and Yang, Jing and Cuervo, Eduardo and Ventura, Jonathan},
  pages = {359--370},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {Mon, 16 Sep 2019 01:00:00 +0200},
  title = {Visualization of Parameter Sensitivity of 2D
  		  Time-Dependent Flow},
  url = {https://doi.org/10.1007/978-3-030-03801-4\_32},
  volume = {11241},
  year = {2018}
}
2017
  1. J. Lukasczyk, G. H. Weber, R. Maciejewski, C. Garth, and H. Leitte. Nested Tracking Graphs. Comput. Graph. Forum, vol. 36, no. 3, pp. 12–22, 2017. 10.1111/cgf.13164 
    @article{lwmg+17,
  author = {Lukasczyk, Jonas and Weber, Gunther H. and Maciejewski, Ross and Garth, Christoph and Leitte, Heike},
  doi = {10.1111/cgf.13164},
  journal = {Comput. Graph. Forum},
  number = {3},
  pages = {12--22},
  timestamp = {Mon, 17 Jul 2017 16:13:51 +0200},
  title = {Nested Tracking Graphs},
  url = {https://doi.org/10.1111/cgf.13164},
  volume = {36},
  year = {2017}
}
2016
  1. B. Rieck and H. Leitte. Exploring and Comparing Clusterings of Multivariate Data Sets Using Persistent Homology. Comput. Graph. Forum, vol. 35, no. 3, pp. 81–90, 2016. 10.1111/cgf.12884 
    @article{rl16,
  author = {Rieck, Bastian and Leitte, Heike},
  doi = {10.1111/cgf.12884},
  journal = {Comput. Graph. Forum},
  number = {3},
  pages = {81--90},
  timestamp = {Fri, 30 Nov 2018 00:00:00 +0100},
  title = {Exploring and Comparing Clusterings of Multivariate Data
  		  Sets Using Persistent Homology},
  url = {https://doi.org/10.1111/cgf.12884},
  volume = {35},
  year = {2016}
}
  2. J. Portl and H. Leitte. Feature Extraction from Segmentations of Neuromuscular Junctions. CoRR, vol. abs/1605.09250, 2016. arXiv:abs/1605.09250 
    @article{pl16,
  archiveprefix = {arXiv},
  author = {Portl, Julia and Leitte, Heike},
  eprint = {1605.09250},
  journal = {CoRR},
  timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
  title = {Feature Extraction from Segmentations of Neuromuscular
  		  Junctions},
  url = {http://arxiv.org/abs/1605.09250},
  volume = {abs/1605.09250},
  year = {2016}
}
  3. C. P. Kappe, L. Schutz, S. Gunther, L. Hufnagel, S. Lemke, and H. Leitte. Reconstruction and Visualization of Coordinated 3D Cell Migration Based on Optical Flow. IEEE Trans. Vis. Comput. Graph., vol. 22, no. 1, pp. 995–1004, 2016. 10.1109/TVCG.2015.2467291 
    @article{ksgh+16,
  author = {Kappe, Christopher P. and Schutz, Lucas and Gunther, Stefan and Hufnagel, Lars and Lemke, Steffen and Leitte, Heike},
  doi = {10.1109/TVCG.2015.2467291},
  journal = {{IEEE} Trans. Vis. Comput. Graph.},
  number = {1},
  pages = {995--1004},
  timestamp = {Wed, 14 Nov 2018 00:00:00 +0100},
  title = {Reconstruction and Visualization of Coordinated 3D Cell
  		  Migration Based on Optical Flow},
  url = {https://doi.org/10.1109/TVCG.2015.2467291},
  volume = {22},
  year = {2016}
}
  4. J. Fangerau, B. Höckendorf, B. Rieck, C. Heine, J. Wittbrodt, and H. Leitte. Interactive Similarity Analysis and Error Detection in Large Tree Collections. In Visualization in Medicine and Life Sciences III, Towards Making an Impact, L. Linsen, B. Hamann, and H.-C. Hege, Eds. Springer, 2016, pp. 287–307. 10.1007/978-3-319-24523-2_13 
    @incollection{fhrh+16,
  author = {Fangerau, Jens and H{\"{o}}ckendorf, Burkhard and Rieck, Bastian and Heine, Christian and Wittbrodt, Joachim and Leitte, Heike},
  booktitle = {Visualization in Medicine and Life Sciences III, Towards
  		  Making an Impact},
  doi = {10.1007/978-3-319-24523-2\_13},
  editor = {Linsen, Lars and Hamann, Bernd and Hege, Hans{-}Christian},
  pages = {287--307},
  publisher = {Springer},
  series = {Mathematics and Visualization},
  timestamp = {Fri, 02 Nov 2018 00:00:00 +0100},
  title = {Interactive Similarity Analysis and Error Detection in
  		  Large Tree Collections},
  url = {https://doi.org/10.1007/978-3-319-24523-2\_13},
  year = {2016}
}
  5. C. Heine, H. Leitte, M. Hlawitschka, F. Iuricich, L. D. Floriani, G. Scheuermann, H. Hagen, and C. Garth. A Survey of Topology-based Methods in Visualization. Comput. Graph. Forum, vol. 35, no. 3, pp. 643–667, 2016. 10.1111/cgf.12933 
    @article{hlhi+16,
  author = {Heine, Christian and Leitte, Heike and Hlawitschka, Mario and Iuricich, Federico and Floriani, Leila De and Scheuermann, Gerik and Hagen, Hans and Garth, Christoph},
  doi = {10.1111/cgf.12933},
  journal = {Comput. Graph. Forum},
  number = {3},
  pages = {643--667},
  timestamp = {Fri, 26 May 2017 22:53:55 +0200},
  title = {A Survey of Topology-based Methods in Visualization},
  url = {https://doi.org/10.1111/cgf.12933},
  volume = {35},
  year = {2016}
}
2015
  1. A. Schäfer, G. Bock, J. Sanday, and H. Leitte. Virtually reassembling Angkor-style Khmer temples. Digit. Appl. Archaeol. Cult. Heritage, vol. 2, no. 1, pp. 2–11, 2015. 10.1016/j.daach.2014.12.001 
    @article{sbsl15,
  author = {Sch{\"{a}}fer, Anja and Bock, Georg and Sanday, John and Leitte, Heike},
  doi = {10.1016/j.daach.2014.12.001},
  journal = {Digit. Appl. Archaeol. Cult. Heritage},
  number = {1},
  pages = {2--11},
  timestamp = {Mon, 24 Feb 2020 00:00:00 +0100},
  title = {Virtually reassembling Angkor-style Khmer temples},
  url = {https://doi.org/10.1016/j.daach.2014.12.001},
  volume = {2},
  year = {2015}
}
  2. B. Rieck and H. Leitte. Persistent Homology for the Evaluation of Dimensionality Reduction Schemes. Comput. Graph. Forum, vol. 34, no. 3, pp. 431–440, 2015. 10.1111/cgf.12655 
    @article{rl15,
  author = {Rieck, Bastian and Leitte, Heike},
  doi = {10.1111/cgf.12655},
  journal = {Comput. Graph. Forum},
  number = {3},
  pages = {431--440},
  timestamp = {Fri, 30 Nov 2018 00:00:00 +0100},
  title = {Persistent Homology for the Evaluation of Dimensionality
  		  Reduction Schemes},
  url = {https://doi.org/10.1111/cgf.12655},
  volume = {34},
  year = {2015}
}
2014
  1. H. Leitte and M. Meyer. Visualization in Biology and Medicine. In Scientific Visualization, C. D. Hansen, M. Chen, C. R. Johnson, A. E. Kaufman, and H. Hagen, Eds. Springer, 2014, pp. 247–263. 10.1007/978-1-4471-6497-5_22 
    @incollection{lm14,
  author = {Leitte, Heike and Meyer, Miriah},
  booktitle = {Scientific Visualization},
  doi = {10.1007/978-1-4471-6497-5\_22},
  editor = {Hansen, Charles D. and Chen, Min and Johnson, Christopher R. and Kaufman, Arie E. and Hagen, Hans},
  pages = {247--263},
  publisher = {Springer},
  series = {Mathematics and Visualization},
  timestamp = {Tue, 02 Jul 2019 07:59:52 +0200},
  title = {Visualization in Biology and Medicine},
  url = {https://doi.org/10.1007/978-1-4471-6497-5\_22},
  year = {2014}
}
  2. B. Rieck and H. Leitte. Structural Analysis of Multivariate Point Clouds Using Simplicial Chains. Comput. Graph. Forum, vol. 33, no. 8, pp. 28–37, 2014. 10.1111/cgf.12398 
    @article{rl14,
  author = {Rieck, Bastian and Leitte, Heike},
  doi = {10.1111/cgf.12398},
  journal = {Comput. Graph. Forum},
  number = {8},
  pages = {28--37},
  timestamp = {Fri, 30 Nov 2018 00:00:00 +0100},
  title = {Structural Analysis of Multivariate Point Clouds Using
  		  Simplicial Chains},
  url = {https://doi.org/10.1111/cgf.12398},
  volume = {33},
  year = {2014}
}
2013
  1. H. Leitte, J. Portl, I. V. Röder, R. R. Schröder, and I. U. Wacker. Towards a Structured Analysis of Quantitative Descriptors from Segmented Biological Image Data. In 3rd International Workshop on Visualization in Medicine and Life Sciences, VMLS@EuroVis 2013 - Short Papers, Leipzig, Germany, June 16-18, 2013, 2013. 10.2312/PE.VMLS.VMLS2013.025-029 
    @inproceedings{lprs+13,
  author = {Leitte, Heike and Portl, Julia and R{\"{o}}der, Ira V. and Schr{\"{o}}der, Rasmus R. and Wacker, Irene U.},
  booktitle = {3rd International Workshop on Visualization in Medicine
  		  and Life Sciences, VMLS@EuroVis 2013 - Short Papers,
  		  Leipzig, Germany, June 16-18, 2013},
  doi = {10.2312/PE.VMLS.VMLS2013.025-029},
  editor = {Linsen, Lars and Hege, Hans{-}Christian and Hamann, Bernd},
  publisher = {Eurographics Association},
  timestamp = {Fri, 03 Jul 2020 18:39:25 +0200},
  title = {Towards a Structured Analysis of Quantitative Descriptors
  		  from Segmented Biological Image Data},
  url = {https://doi.org/10.2312/PE.VMLS.VMLS2013.025-029},
  year = {2013}
}
  2. R. Maciejewski, Y. Jang, I. Woo, H. Jänicke, K. P. Gaither, and D. S. Ebert. Abstracting Attribute Space for Transfer Function Exploration and Design. IEEE Trans. Vis. Comput. Graph., vol. 19, no. 1, pp. 94–107, 2013. 10.1109/TVCG.2012.105 
    @article{mjwj+13,
  author = {Maciejewski, Ross and Jang, Yun and Woo, Insoo and J{\"{a}}nicke, Heike and Gaither, Kelly P. and Ebert, David S.},
  doi = {10.1109/TVCG.2012.105},
  journal = {{IEEE} Trans. Vis. Comput. Graph.},
  number = {1},
  pages = {94--107},
  timestamp = {Wed, 14 Nov 2018 00:00:00 +0100},
  title = {Abstracting Attribute Space for Transfer Function
  		  Exploration and Design},
  url = {https://doi.org/10.1109/TVCG.2012.105},
  volume = {19},
  year = {2013}
}
2012
  1. B. Rieck, H. Mara, and H. Leitte. Multivariate Data Analysis Using Persistence-Based Filtering and Topological Signatures. IEEE Trans. Vis. Comput. Graph., vol. 18, no. 12, pp. 2382–2391, 2012. 10.1109/TVCG.2012.248 
    @article{rml12,
  author = {Rieck, Bastian and Mara, Hubert and Leitte, Heike},
  doi = {10.1109/TVCG.2012.248},
  journal = {{IEEE} Trans. Vis. Comput. Graph.},
  number = {12},
  pages = {2382--2391},
  timestamp = {Fri, 30 Nov 2018 00:00:00 +0100},
  title = {Multivariate Data Analysis Using Persistence-Based
  		  Filtering and Topological Signatures},
  url = {https://doi.org/10.1109/TVCG.2012.248},
  volume = {18},
  year = {2012}
}
  2. H. Leitte, J. Fangerau, X. Lou, B. Höckendorf, S. Lemke, A. Maizel, and J. Wittbrodt. Visualization Software for 3D Video Microscopy: A Design Study. In 14th Eurographics Conference on Visualization, EuroVis 2012 - Short Papers, Vienna, Austria, June 5-8, 2012, 2012. 10.2312/PE/EuroVisShort/EuroVisShort2012/073-077 
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  author = {Leitte, Heike and Fangerau, Jens and Lou, Xinghua and H{\"{o}}ckendorf, Burkhard and Lemke, Steffen and Maizel, Alexis and Wittbrodt, Jochen},
  booktitle = {14th Eurographics Conference on Visualization, EuroVis
  		  2012 - Short Papers, Vienna, Austria, June 5-8, 2012},
  doi = {10.2312/PE/EuroVisShort/EuroVisShort2012/073-077},
  editor = {Meyer, Miriah and Weinkauf, Tino},
  publisher = {Eurographics Association},
  timestamp = {Wed, 01 Jul 2020 13:32:37 +0200},
  title = {Visualization Software for 3D Video Microscopy: {A} Design
  		  Study},
  url = {https://doi.org/10.2312/PE/EuroVisShort/EuroVisShort2012/073-077},
  year = {2012}
}
  3. B. X. Kausler, M. Schiegg, B. Andres, M. S. Lindner, U. Köthe, H. Leitte, J. Wittbrodt, L. Hufnagel, and F. A. Hamprecht. A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness. In Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part III, 2012, vol. 7574, pp. 144–157. 10.1007/978-3-642-33712-3_11 
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  author = {Kausler, Bernhard X. and Schiegg, Martin and Andres, Bj{\"{o}}rn and Lindner, Martin S. and K{\"{o}}the, Ullrich and Leitte, Heike and Wittbrodt, Jochen and Hufnagel, Lars and Hamprecht, Fred A.},
  booktitle = {Computer Vision - {ECCV} 2012 - 12th European Conference
  		  on Computer Vision, Florence, Italy, October 7-13, 2012,
  		  Proceedings, Part {III}},
  doi = {10.1007/978-3-642-33712-3\_11},
  editor = {Fitzgibbon, Andrew W. and Lazebnik, Svetlana and Perona, Pietro and Sato, Yoichi and Schmid, Cordelia},
  pages = {144--157},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {Sat, 19 Oct 2019 01:00:00 +0200},
  title = {A Discrete Chain Graph Model for 3d+t Cell Tracking with
  		  High Misdetection Robustness},
  url = {https://doi.org/10.1007/978-3-642-33712-3\_11},
  volume = {7574},
  year = {2012}
}
  4. J. Fangerau, B. Hockendorf, J. Wittbrodt, and H. Leitte. Similarity analysis of cell movements in video microscopy. In 2012 IEEE Symposium on Biological Data Visualization, BioVis 2011, Seattle, WA, USA, October 14-15, 2012, 2012, pp. 69–76. 10.1109/BioVis.2012.6378595 
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  author = {Fangerau, Jens and Hockendorf, Burkhard and Wittbrodt, Joachim and Leitte, Heike},
  booktitle = {2012 {IEEE} Symposium on Biological Data Visualization,
  		  BioVis 2011, Seattle, WA, USA, October 14-15, 2012},
  doi = {10.1109/BioVis.2012.6378595},
  pages = {69--76},
  publisher = {{IEEE} Computer Society},
  timestamp = {Wed, 16 Oct 2019 14:14:52 +0200},
  title = {Similarity analysis of cell movements in video
  		  microscopy},
  url = {https://doi.org/10.1109/BioVis.2012.6378595},
  year = {2012}
}
  5. R. Borgo et al. State of the Art Report on Video-Based Graphics and Video Visualization. Comput. Graph. Forum, vol. 31, no. 8, pp. 2450–2477, 2012. 10.1111/j.1467-8659.2012.03158.x 
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  author = {Borgo, Rita and Chen, Min and Daubney, Ben and Grundy, Edward and Heidemann, Gunther and H{\"{o}}ferlin, Benjamin and H{\"{o}}ferlin, Markus and Leitte, Heike and Weiskopf, Daniel and Xie, Xianghua},
  doi = {10.1111/j.1467-8659.2012.03158.x},
  journal = {Comput. Graph. Forum},
  number = {8},
  pages = {2450--2477},
  timestamp = {Tue, 04 Jun 2019 01:00:00 +0200},
  title = {State of the Art Report on Video-Based Graphics and Video
  		  Visualization},
  url = {https://doi.org/10.1111/j.1467-8659.2012.03158.x},
  volume = {31},
  year = {2012}
}
2011
  1. P. Oesterling, C. Heine, H. Jänicke, G. Scheuermann, and G. Heyer. Visualization of High-Dimensional Point Clouds Using Their Density Distribution’s Topology. IEEE Trans. Vis. Comput. Graph., vol. 17, no. 11, pp. 1547–1559, 2011. 10.1109/TVCG.2011.27 
    @article{ohjs+11,
  author = {Oesterling, Patrick and Heine, Christian and J{\"{a}}nicke, Heike and Scheuermann, Gerik and Heyer, Gerhard},
  doi = {10.1109/TVCG.2011.27},
  journal = {{IEEE} Trans. Vis. Comput. Graph.},
  number = {11},
  pages = {1547--1559},
  timestamp = {Wed, 14 Nov 2018 00:00:00 +0100},
  title = {Visualization of High-Dimensional Point Clouds Using Their
  		  Density Distribution's Topology},
  url = {https://doi.org/10.1109/TVCG.2011.27},
  volume = {17},
  year = {2011}
}
  2. X. Lou, F. O. Kaster, M. S. Lindner, B. X. Kausler, U. Köthe, B. Hockendorf, J. Wittbrodt, H. Jänicke, and F. A. Hamprecht. Deltr: Digital embryo lineage tree reconstructor. In Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2011, March 30 - April 2, 2011, Chicago, Illinois, USA, 2011, pp. 1557–1560. 10.1109/ISBI.2011.5872698 
    @inproceedings{lklk+11,
  author = {Lou, Xinghua and Kaster, Frederik O. and Lindner, Martin S. and Kausler, Bernhard X. and K{\"{o}}the, Ullrich and Hockendorf, Burkhard and Wittbrodt, Jochen and J{\"{a}}nicke, Heike and Hamprecht, Fred A.},
  booktitle = {Proceedings of the 8th {IEEE} International Symposium on
  		  Biomedical Imaging: From Nano to Macro, {ISBI} 2011, March
  		  30 - April 2, 2011, Chicago, Illinois, {USA}},
  doi = {10.1109/ISBI.2011.5872698},
  pages = {1557--1560},
  publisher = {{IEEE}},
  timestamp = {Wed, 16 Oct 2019 14:14:52 +0200},
  title = {Deltr: Digital embryo lineage tree reconstructor},
  url = {https://doi.org/10.1109/ISBI.2011.5872698},
  year = {2011}
}
  3. H. Jänicke, T. Weidner, D. H. S. Chung, R. S. Laramee, P. Townsend, and M. Chen. Visual Reconstructability as a Quality Metric for Flow Visualization. Comput. Graph. Forum, vol. 30, no. 3, pp. 781–790, 2011. 10.1111/j.1467-8659.2011.01927.x 
    @article{jwcl+11,
  author = {J{\"{a}}nicke, Heike and Weidner, Thomas and Chung, David H. S. and Laramee, Robert S. and Townsend, Peter and Chen, Min},
  doi = {10.1111/j.1467-8659.2011.01927.x},
  journal = {Comput. Graph. Forum},
  number = {3},
  pages = {781--790},
  timestamp = {Wed, 05 Jun 2019 01:00:00 +0200},
  title = {Visual Reconstructability as a Quality Metric for Flow
  		  Visualization},
  url = {https://doi.org/10.1111/j.1467-8659.2011.01927.x},
  volume = {30},
  year = {2011}
}
  4. R. Borgo et al. A Survey on Video-based Graphics and Video Visualization. In 32nd Annual Conference of the European Association for Computer Graphics, Eurographics 2011 - State of the Art Reports, Llandudno, UK, April 11-15, 2011, 2011, pp. 1–23. 10.2312/EG2011/stars/001-023 
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  author = {Borgo, Rita and Chen, Min and Daubney, Ben and Grundy, Edward and Heidemann, Gunther and H{\"{o}}ferlin, Benjamin and H{\"{o}}ferlin, Markus and J{\"{a}}nicke, Heike and Weiskopf, Daniel and Xie, Xianghua},
  booktitle = {32nd Annual Conference of the European Association for
  		  Computer Graphics, Eurographics 2011 - State of the Art
  		  Reports, Llandudno, UK, April 11-15, 2011},
  doi = {10.2312/EG2011/stars/001-023},
  editor = {John, Nigel W. and Wyvill, Brian},
  pages = {1--23},
  publisher = {Eurographics Association},
  timestamp = {Fri, 03 Jul 2020 16:45:59 +0200},
  title = {A Survey on Video-based Graphics and Video Visualization},
  url = {https://doi.org/10.2312/EG2011/stars/001-023},
  year = {2011}
}
  5. H. Jänicke. Information-theoretic Analysis of Unsteady Data. In Scientific Visualization: Interactions, Features, Metaphors, vol. 2, H. Hagen, Ed. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany, 2011, pp. 118–128. 10.4230/DFU.Vol2.SciViz.2011.118 
    @incollection{j11,
  author = {J{\"{a}}nicke, Heike},
  booktitle = {Scientific Visualization: Interactions, Features,
  		  Metaphors},
  doi = {10.4230/DFU.Vol2.SciViz.2011.118},
  editor = {Hagen, Hans},
  pages = {118--128},
  publisher = {Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik,
  		  Germany},
  series = {Dagstuhl Follow-Ups},
  timestamp = {Sun, 21 May 2017 01:00:00 +0200},
  title = {Information-theoretic Analysis of Unsteady Data},
  url = {https://doi.org/10.4230/DFU.Vol2.SciViz.2011.118},
  volume = {2},
  year = {2011}
}
2010
  1. P. Oesterling, C. Heine, H. Jänicke, and G. Scheuermann. Visual analysis of high dimensional point clouds using topological landscapes. In IEEE Pacific Visualization Symposium PacificVis 2010, Taipei, Taiwan, March 2-5, 2010, 2010, pp. 113–120. 10.1109/PACIFICVIS.2010.5429601 
    @inproceedings{ohjs10,
  author = {Oesterling, Patrick and Heine, Christian and J{\"{a}}nicke, Heike and Scheuermann, Gerik},
  booktitle = {{IEEE} Pacific Visualization Symposium PacificVis 2010,
  		  Taipei, Taiwan, March 2-5, 2010},
  doi = {10.1109/PACIFICVIS.2010.5429601},
  pages = {113--120},
  publisher = {{IEEE} Computer Society},
  timestamp = {Wed, 16 Oct 2019 14:14:55 +0200},
  title = {Visual analysis of high dimensional point clouds using
  		  topological landscapes},
  url = {https://doi.org/10.1109/PACIFICVIS.2010.5429601},
  year = {2010}
}
  2. H. Jänicke and G. Scheuermann. Visual Analysis of Flow Features Using Information Theory. IEEE Computer Graphics and Applications, vol. 30, no. 1, pp. 40–49, 2010. 10.1109/MCG.2010.17 
    @article{js10b,
  author = {J{\"{a}}nicke, Heike and Scheuermann, Gerik},
  doi = {10.1109/MCG.2010.17},
  journal = {{IEEE} Computer Graphics and Applications},
  number = {1},
  pages = {40--49},
  timestamp = {Sat, 30 May 2020 01:00:00 +0200},
  title = {Visual Analysis of Flow Features Using Information
  		  Theory},
  url = {https://doi.org/10.1109/MCG.2010.17},
  volume = {30},
  year = {2010}
}
  3. H. Jänicke and G. Scheuermann. Towards Automatic Feature-based Visualization. In Scientific Visualization: Advanced Concepts, vol. 1, H. Hagen, Ed. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany, 2010, pp. 62–77. 10.4230/DFU.SciViz.2010.62 
    @incollection{js10a,
  author = {J{\"{a}}nicke, Heike and Scheuermann, Gerik},
  booktitle = {Scientific Visualization: Advanced Concepts},
  doi = {10.4230/DFU.SciViz.2010.62},
  editor = {Hagen, Hans},
  pages = {62--77},
  publisher = {Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik,
  		  Germany},
  series = {Dagstuhl Follow-Ups},
  timestamp = {Sun, 21 May 2017 01:00:00 +0200},
  title = {Towards Automatic Feature-based Visualization},
  url = {https://doi.org/10.4230/DFU.SciViz.2010.62},
  volume = {1},
  year = {2010}
}
  4. R. Borgo, K. J. Proctor, M. Chen, H. Jänicke, T. Murray, and I. M. Thornton. Evaluating the impact of task demands and block resolution on the effectiveness of pixel-based visualization. IEEE Trans. Vis. Comput. Graph., vol. 16, no. 6, pp. 963–972, 2010. 10.1109/TVCG.2010.150 
    @article{bpcj+10,
  author = {Borgo, Rita and Proctor, Karl J. and Chen, Min and J{\"{a}}nicke, Heike and Murray, Tavi and Thornton, Ian M.},
  doi = {10.1109/TVCG.2010.150},
  journal = {{IEEE} Trans. Vis. Comput. Graph.},
  number = {6},
  pages = {963--972},
  timestamp = {Tue, 04 Jun 2019 01:00:00 +0200},
  title = {Evaluating the impact of task demands and block resolution
  		  on the effectiveness of pixel-based visualization},
  url = {https://doi.org/10.1109/TVCG.2010.150},
  volume = {16},
  year = {2010}
}
  5. H. Jänicke and M. Chen. A Salience-based Quality Metric for Visualization. Comput. Graph. Forum, vol. 29, no. 3, pp. 1183–1192, 2010. 10.1111/j.1467-8659.2009.01667.x 
    @article{jc10,
  author = {J{\"{a}}nicke, Heike and Chen, Min},
  doi = {10.1111/j.1467-8659.2009.01667.x},
  journal = {Comput. Graph. Forum},
  number = {3},
  pages = {1183--1192},
  timestamp = {Tue, 04 Jun 2019 01:00:00 +0200},
  title = {A Salience-based Quality Metric for Visualization},
  url = {https://doi.org/10.1111/j.1467-8659.2009.01667.x},
  volume = {29},
  year = {2010}
}
  6. H. Jänicke, R. Borgo, J. S. D. Mason, and M. Chen. SoundRiver: Semantically-Rich Sound Illustration. Comput. Graph. Forum, vol. 29, no. 2, pp. 357–366, 2010. 10.1111/j.1467-8659.2009.01605.x 
    @article{jbmc10,
  author = {J{\"{a}}nicke, Heike and Borgo, Rita and Mason, John S. D. and Chen, Min},
  doi = {10.1111/j.1467-8659.2009.01605.x},
  journal = {Comput. Graph. Forum},
  number = {2},
  pages = {357--366},
  timestamp = {Tue, 04 Jun 2019 01:00:00 +0200},
  title = {\emph{SoundRiver: } Semantically-Rich Sound Illustration},
  url = {https://doi.org/10.1111/j.1467-8659.2009.01605.x},
  volume = {29},
  year = {2010}
}
  7. M. Chen and H. Jänicke. An Information-theoretic Framework for Visualization. IEEE Trans. Vis. Comput. Graph., vol. 16, no. 6, pp. 1206–1215, 2010. 10.1109/TVCG.2010.132 
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  author = {Chen, Min and J{\"{a}}nicke, Heike},
  doi = {10.1109/TVCG.2010.132},
  journal = {{IEEE} Trans. Vis. Comput. Graph.},
  number = {6},
  pages = {1206--1215},
  timestamp = {Sat, 30 May 2020 01:00:00 +0200},
  title = {An Information-theoretic Framework for Visualization},
  url = {https://doi.org/10.1109/TVCG.2010.132},
  volume = {16},
  year = {2010}
}
  8. H. Jänicke and G. Scheuermann. Measuring Complexity in Lagrangian and Eulerian Flow Descriptions. Comput. Graph. Forum, vol. 29, no. 6, pp. 1783–1794, 2010. 10.1111/j.1467-8659.2010.01648.x 
    @article{js10,
  author = {J{\"{a}}nicke, Heike and Scheuermann, Gerik},
  doi = {10.1111/j.1467-8659.2010.01648.x},
  journal = {Comput. Graph. Forum},
  number = {6},
  pages = {1783--1794},
  timestamp = {Fri, 26 May 2017 01:00:00 +0200},
  title = {Measuring Complexity in Lagrangian and Eulerian Flow
  		  Descriptions},
  url = {https://doi.org/10.1111/j.1467-8659.2010.01648.x},
  volume = {29},
  year = {2010}
}
2009
  1. H. Jänicke and G. Scheuermann. Steady visualization of the dynamics in fluids using epsilon-machines. Comput. Graph., vol. 33, no. 5, pp. 597–606, 2009. 10.1016/j.cag.2009.06.003 
    @article{js09,
  author = {J{\"{a}}nicke, Heike and Scheuermann, Gerik},
  doi = {10.1016/j.cag.2009.06.003},
  journal = {Comput. Graph.},
  number = {5},
  pages = {597--606},
  timestamp = {Wed, 19 Feb 2020 00:00:00 +0100},
  title = {Steady visualization of the dynamics in fluids using
  		  epsilon-machines},
  url = {https://doi.org/10.1016/j.cag.2009.06.003},
  volume = {33},
  year = {2009}
}
  2. H. Jänicke, M. Böttinger, U. Mikolajewicz, and G. Scheuermann. Visual Exploration of Climate Variability Changes Using Wavelet Analysis. IEEE Trans. Vis. Comput. Graph., vol. 15, no. 6, pp. 1375–1382, 2009. 10.1109/TVCG.2009.197 
    @article{jbms09,
  author = {J{\"{a}}nicke, Heike and B{\"{o}}ttinger, Michael and Mikolajewicz, Uwe and Scheuermann, Gerik},
  doi = {10.1109/TVCG.2009.197},
  journal = {{IEEE} Trans. Vis. Comput. Graph.},
  number = {6},
  pages = {1375--1382},
  timestamp = {Wed, 14 Nov 2018 00:00:00 +0100},
  title = {Visual Exploration of Climate Variability Changes Using
  		  Wavelet Analysis},
  url = {https://doi.org/10.1109/TVCG.2009.197},
  volume = {15},
  year = {2009}
}
  3. H. Jänicke. Information theoretic methods for the visual analysis of climate and flow data. PhD thesis, Martin Luther University of Halle-Wittenberg, 2009. http://d-nb.info/997095261 
    @phdthesis{j09,
  author = {J{\"{a}}nicke, Heike},
  school = {Martin Luther University of Halle-Wittenberg},
  timestamp = {Wed, 04 May 2016 01:00:00 +0200},
  title = {Information theoretic methods for the visual analysis of
  		  climate and flow data},
  url = {http://d-nb.info/997095261},
  year = {2009}
}
2008
  1. T. Salzbrunn, H. Jänicke, T. Wischgoll, and G. Scheuermann. The State of the Art in Flow Visualization: Partition-Based Techniques. In Simulation and Visualization 2008 (SimVis 2008), 18-29 Februar 2008, Magdeburg, 2008, pp. 75–92. http://www.simvis.org/Tagung2008/sv-proceedings.html 
    @inproceedings{sjws08,
  author = {Salzbrunn, Tobias and J{\"{a}}nicke, Heike and Wischgoll, Thomas and Scheuermann, Gerik},
  booktitle = {Simulation and Visualization 2008 (SimVis 2008), 18-29
  		  Februar 2008, Magdeburg},
  editor = {Hauser, Helwig and Stra{\ss}burger, Steffen and Theisel, Holger},
  pages = {75--92},
  publisher = {{SCS} Publishing House e.V.},
  timestamp = {Wed, 12 Mar 2008 10:45:01 +0100},
  title = {The State of the Art in Flow Visualization:
  		  Partition-Based Techniques},
  url = {http://www.simvis.org/Tagung2008/sv-proceedings.html},
  year = {2008}
}
  2. H. Jänicke, M. Böttinger, and G. Scheuermann. Brushing of Attribute Clouds for the Visualization of Multivariate Data. IEEE Trans. Vis. Comput. Graph., vol. 14, no. 6, pp. 1459–1466, 2008. 10.1109/TVCG.2008.116 
    @article{jbs08,
  author = {J{\"{a}}nicke, Heike and B{\"{o}}ttinger, Michael and Scheuermann, Gerik},
  doi = {10.1109/TVCG.2008.116},
  journal = {{IEEE} Trans. Vis. Comput. Graph.},
  number = {6},
  pages = {1459--1466},
  timestamp = {Wed, 14 Nov 2018 00:00:00 +0100},
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  2. H. Jänicke, A. Wiebel, G. Scheuermann, and W. Kollmann. Multifield Visualization Using Local Statistical Complexity. IEEE Trans. Vis. Comput. Graph., vol. 13, no. 6, pp. 1384–1391, 2007. 10.1109/TVCG.2007.70615 
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}
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