Visualization & HCI

Office	36-234
Email	jl@jluk.de

Publications

2026

M. Will, J. Lukasczyk, J. Tierny, A. Gyulassy, G. H. Weber, H. Carr, and C. Garth. Scalable Computation of Topological Abstractions for Scalar Data. Computer Graphics Forum, Jun. 2026. 10.1111/cgf.70497

@article{Will_2026,
  title = {Scalable Computation of Topological Abstractions for Scalar Data},
  issn = {1467-8659},
  url = {http://dx.doi.org/10.1111/cgf.70497},
  doi = {10.1111/cgf.70497},
  journal = {Computer Graphics Forum},
  publisher = {Wiley},
  author = {Will, M. and Lukasczyk, J. and Tierny, J. and Gyulassy, A. and Weber, G. H. and Carr, H. and Garth, C.},
  year = {2026},
  month = jun
}

2024

M. Will, J. Lukasczyk, J. Tierny, and C. Garth. Distributed Path Compression for Piecewise Linear Morse-Smale Segmentations and Connected Components. In 2024 IEEE 14th Symposium on Large Data Analysis and Visualization (LDAV), Oct. 2024, pp. 54–64. 10.1109/ldav64567.2024.00007

@inproceedings{Will_2024,
  title = {Distributed Path Compression for Piecewise Linear Morse-Smale Segmentations and Connected Components},
  url = {http://dx.doi.org/10.1109/ldav64567.2024.00007},
  doi = {10.1109/ldav64567.2024.00007},
  booktitle = {2024 IEEE 14th Symposium on Large Data Analysis and Visualization (LDAV)},
  publisher = {IEEE},
  author = {Will, Michael and Lukasczyk, Jonas and Tierny, Julien and Garth, Christoph},
  year = {2024},
  month = oct,
  pages = {54–64}
}

E. Le Guillou, M. Will, P. Guillou, J. Lukasczyk, P. Fortin, C. Garth, and J. Tierny. TTK is Getting MPI-Ready. IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 8, pp. 5875–5892, Aug. 2024. 10.1109/tvcg.2024.3390219

@article{Le_Guillou_2024,
  title = {TTK is Getting MPI-Ready},
  volume = {30},
  issn = {2160-9306},
  url = {http://dx.doi.org/10.1109/tvcg.2024.3390219},
  doi = {10.1109/tvcg.2024.3390219},
  number = {8},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
  author = {Le Guillou, Eve and Will, Michael and Guillou, Pierre and Lukasczyk, Jonas and Fortin, Pierre and Garth, Christoph and Tierny, Julien},
  year = {2024},
  month = aug,
  pages = {5875–5892}
}

J. Lukasczyk, M. Will, F. Wetzels, G. H. Weber, and C. Garth. ExTreeM: Scalable Augmented Merge Tree Computation via Extremum Graphs. IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 1, pp. 1085–1094, 2024. 10.1109/TVCG.2023.3326526

@article{10290925,
  author = {Lukasczyk, Jonas and Will, Michael and Wetzels, Florian and Weber, Gunther H. and Garth, Christoph},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  title = {ExTreeM: Scalable Augmented Merge Tree Computation via Extremum Graphs},
  year = {2024},
  volume = {30},
  number = {1},
  pages = {1085-1094},
  keywords = {Topology;Manifolds;Task analysis;Memory management;Data visualization;Classification algorithms;Data analysis;Scalar field topology;merge trees;persistence pairs;high performance computing},
  doi = {10.1109/TVCG.2023.3326526}
}

2023

H. L. Weil et al. PLANTdataHUB: a collaborative platform for continuous FAIR data sharing in plant research. The Plant Journal, vol. 116, no. 4, pp. 974–988, Oct. 2023. 10.1111/tpj.16474

@article{Weil_2023,
  title = {PLANTdataHUB: a collaborative platform for continuous FAIR data sharing in plant research},
  volume = {116},
  issn = {1365-313X},
  url = {http://dx.doi.org/10.1111/tpj.16474},
  doi = {10.1111/tpj.16474},
  number = {4},
  journal = {The Plant Journal},
  publisher = {Wiley},
  author = {Weil, Heinrich Lukas and Schneider, Kevin and Tschöpe, Marcel and Bauer, Jonathan and Maus, Oliver and Frey, Kevin and Brilhaus, Dominik and Martins Rodrigues, Cristina and Doniparthi, Gajendra and Wetzels, Florian and Lukasczyk, Jonas and Kranz, Angela and Grüning, Björn and Zimmer, David and Deßloch, Stefan and von Suchodoletz, Dirk and Usadel, Björn and Garth, Christoph and Mühlhaus, Timo},
  year = {2023},
  month = oct,
  pages = {974–988}
}

M. Petersen, J. Lukasczyk, C. Gueunet, T. Chabat, and C. Garth. Extended Visual Programming for Complex Parallel Pipelines in ParaView. In Eurographics Symposium on Parallel Graphics and Visualization, 2023. 10.2312/pgv.20231084

@inproceedings{10.2312:pgv.20231084,
  booktitle = {Eurographics Symposium on Parallel Graphics and Visualization},
  editor = {Bujack, Roxana and Pugmire, David and Reina, Guido},
  title = {{Extended Visual Programming for Complex Parallel Pipelines in ParaView}},
  author = {Petersen, Marvin and Lukasczyk, Jonas and Gueunet, Charles and Chabat, Timothée and Garth, Christoph},
  year = {2023},
  publisher = {The Eurographics Association},
  issn = {1727-348X},
  isbn = {978-3-03868-215-8},
  doi = {10.2312/pgv.20231084}
}

R. G. C. Maack, J. Lukasczyk, J. Tierny, H. Hagen, R. Maciejewski, and C. Garth. Parallel Computation of Piecewise Linear Morse-Smale Segmentations. IEEE Transactions on Visualization and Computer Graphics, pp. 1–14, 2023. 10.1109/TVCG.2023.3261981

@article{10081444,
  author = {Maack, Robin G. C. and Lukasczyk, Jonas and Tierny, Julien and Hagen, Hans and Maciejewski, Ross and Garth, Christoph},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  title = {Parallel Computation of Piecewise Linear Morse-Smale Segmentations},
  year = {2023},
  volume = {},
  number = {},
  pages = {1-14},
  doi = {10.1109/TVCG.2023.3261981}
}

E. Nilsson, J. Lukasczyk, T. B. Masood, C. Garth, and I. Hotz. Probabilistic Gradient-Based Extrema Tracking. CoRR, vol. abs/2308.08956, 2023. 10.48550/arXiv.2308.08956

@article{DBLP:journals/corr/abs-2308-08956,
  author = {Nilsson, Emma and Lukasczyk, Jonas and Masood, Talha Bin and Garth, Christoph and Hotz, Ingrid},
  title = {Probabilistic Gradient-Based Extrema Tracking},
  journal = {CoRR},
  volume = {abs/2308.08956},
  year = {2023},
  url = {https://doi.org/10.48550/arXiv.2308.08956},
  doi = {10.48550/arXiv.2308.08956},
  eprinttype = {arXiv},
  eprint = {2308.08956}
}

2022

E. Nilsson, J. Lukasczyk, T. B. Masood, C. Garth, and I. Hotz. Towards Benchmark Data Generation for Feature Tracking in Scalar Fields. In 2022 Topological Data Analysis and Visualization (TopoInVis), 2022, pp. 103–112. 10.1109/TopoInVis57755.2022.00017

@inproceedings{9975817,
  author = {Nilsson, Emma and Lukasczyk, Jonas and Masood, Talha Bin and Garth, Christoph and Hotz, Ingrid},
  booktitle = {2022 Topological Data Analysis and Visualization (TopoInVis)},
  title = {Towards Benchmark Data Generation for Feature Tracking in Scalar Fields},
  year = {2022},
  volume = {},
  number = {},
  pages = {103-112},
  doi = {10.1109/TopoInVis57755.2022.00017}
}

E. Nilsson, J. Lukasczyk, W. Engelke, T. B. Masood, G. Svensson, R. Caballero, C. Garth, and I. Hotz. Exploring Cyclone Evolution with Hierarchical Features. In 2022 Topological Data Analysis and Visualization (TopoInVis), 2022, pp. 92–102. 10.1109/TopoInVis57755.2022.00016

@inproceedings{9975824,
  author = {Nilsson, Emma and Lukasczyk, Jonas and Engelke, Wito and Masood, Talha Bin and Svensson, Gunilla and Caballero, Rodrigo and Garth, Christoph and Hotz, Ingrid},
  booktitle = {2022 Topological Data Analysis and Visualization (TopoInVis)},
  title = {Exploring Cyclone Evolution with Hierarchical Features},
  year = {2022},
  volume = {},
  number = {},
  pages = {92-102},
  doi = {10.1109/TopoInVis57755.2022.00016}
}

2021

E. G. Kinner, J. Lukasczyk, D. H. Rogers, R. Maciejewski, and C. Garth. Interpolation of Scientific Image Databases. 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. 19:1–19:17. 10.4230/OASIcs.iPMVM.2020.19

@inproceedings{kinner_et_al:OASIcs.iPMVM.2020.19,
  author = {Kinner, Eric Georg and Lukasczyk, Jonas and Rogers, David Honegger and Maciejewski, Ross and Garth, Christoph},
  title = {{Interpolation of Scientific Image Databases}},
  booktitle = {2nd International Conference of the DFG International Research Training Group 2057 -- Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages = {19:1--19:17},
  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/2021/13768},
  urn = {urn:nbn:de:0030-drops-137686},
  doi = {10.4230/OASIcs.iPMVM.2020.19},
  annote = {Keywords: Image Interpolation, Image Database, Cinema Database}
}

M. Will, Q. Wofford, J. Patchett, D. Rogers, J. Lukasczyk, and C. Garth. Developing and Evaluating In Situ Visualization Algorithms Using Containers. In ISAV’21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, New York, NY, USA: Association for Computing Machinery, 2021, pp. 6–11. 10.1145/3490138.3490141
```
@inbook{10.1145/3490138.3490141,
  author = {Will, Michael and Wofford, Quincy and Patchett, John and Rogers, David and Lukasczyk, Jonas and Garth, Christoph},
  title = {Developing and Evaluating In Situ Visualization Algorithms Using Containers},
  year = {2021},
  isbn = {9781450387156},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  doi = {10.1145/3490138.3490141},
  booktitle = {ISAV'21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization},
  pages = {6-11},
  numpages = {6}
}
```
Abstract: Fundamental research into in situ visualization and analysis techniques is difficult to access for visualization researchers due to the overwhelming complexity and effort of constructing and managing in situ software stacks that allow reproducible evaluation of novel in situ visualization and analysis techniques. To address this problem, we describe EZ-ISAV, a work-in-progress towards a framework for easy construction of customizable in situ pipelines in container images. Designed for portability and ease of use, these images are intended to serve as proof-of-concept cases for in situ visualization and analysis research. Furthermore, we describe the EZ-ISAV repository, an open repository of turn-key, ready-made container images that can strongly reduce the overhead of developing and evaluating in situ techniques and provide improved reproducibility and portability of in situ visualization research.

T. B. Masood et al. An Overview of the Topology ToolKit. In Topological Methods in Data Analysis and Visualization VI, Springer International Publishing, 2021, pp. 327–342. 10.1007/978-3-030-83500-2_16

@inbook{Masood_2021,
  title = {An Overview of the Topology ToolKit},
  isbn = {9783030835002},
  issn = {2197-666X},
  url = {http://dx.doi.org/10.1007/978-3-030-83500-2_16},
  doi = {10.1007/978-3-030-83500-2_16},
  booktitle = {Topological Methods in Data Analysis and Visualization VI},
  publisher = {Springer International Publishing},
  author = {Masood, Talha Bin and Budin, Joseph and Falk, Martin and Favelier, Guillaume and Garth, Christoph and Gueunet, Charles and Guillou, Pierre and Hofmann, Lutz and Hristov, Petar and Kamakshidasan, Adhitya and Kappe, Christopher and Klacansky, Pavol and Laurin, Patrick and Levine, Joshua A. and Lukasczyk, Jonas and Sakurai, Daisuke and Soler, Maxime and Steneteg, Peter and Tierny, Julien and Usher, Will and Vidal, Jules and Wozniak, Michal},
  year = {2021},
  pages = {327–342}
}

J. Lukasczyk et al. Report of the TopoInVis TTK Hackathon: Experiences, Lessons Learned, and Perspectives. In Topological Methods in Data Analysis and Visualization VI, Springer International Publishing, 2021, pp. 359–373. 10.1007/978-3-030-83500-2_18

@inbook{Lukasczyk_2021,
  title = {Report of the TopoInVis TTK Hackathon: Experiences, Lessons Learned, and Perspectives},
  isbn = {9783030835002},
  issn = {2197-666X},
  url = {http://dx.doi.org/10.1007/978-3-030-83500-2_18},
  doi = {10.1007/978-3-030-83500-2_18},
  booktitle = {Topological Methods in Data Analysis and Visualization VI},
  publisher = {Springer International Publishing},
  author = {Lukasczyk, Jonas and Beran, Jakob and Engelke, Wito and Falk, Martin and Friederici, Anke and Garth, Christoph and Hofmann, Lutz and Hotz, Ingrid and Hristov, Petar and Köpp, Wiebke and Masood, Talha Bin and Olejniczak, Małgorzata and Rosen, Paul and Sohns, Jan-Tobias and Weinkauf, Tino and Werner, Kilian and Tierny, Julien},
  year = {2021},
  pages = {359–373}
}

J. Lukasczyk, C. Garth, R. Maciejewski, and J. Tierny. Localized Topological Simplification of Scalar Data. IEEE Trans. Vis. Comput. Graph., vol. 27, no. 2, pp. 572–582, 2021. 10.1109/TVCG.2020.3030353

@article{lgmt21,
  author = {Lukasczyk, Jonas and Garth, Christoph and Maciejewski, Ross and Tierny, Julien},
  title = {Localized Topological Simplification of Scalar Data},
  journal = {{IEEE} Trans. Vis. Comput. Graph.},
  volume = {27},
  number = {2},
  pages = {572--582},
  year = {2021},
  url = {https://doi.org/10.1109/TVCG.2020.3030353},
  doi = {10.1109/TVCG.2020.3030353},
  timestamp = {Wed, 03 Feb 2021 15:48:32 +0100},
  biburl = {https://dblp.org/rec/journals/tvcg/LukasczykGMT21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

2020

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}
}

J. Lukasczyk, C. Garth, M. Larsen, W. Engelke, I. Hotz, D. Rogers, J. Ahrens, and R. Maciejewski. Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets. arXiv, 2020. 10.48550/ARXIV.2010.03936

@misc{https://doi.org/10.48550/arxiv.2010.03936,
  doi = {10.48550/ARXIV.2010.03936},
  url = {https://arxiv.org/abs/2010.03936},
  author = {Lukasczyk, Jonas and Garth, Christoph and Larsen, Matthew and Engelke, Wito and Hotz, Ingrid and Rogers, David and Ahrens, James and Maciejewski, Ross},
  keywords = {Graphics (cs.GR), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets},
  publisher = {arXiv},
  year = {2020},
  copyright = {arXiv.org perpetual, non-exclusive license}
}

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}
}

A. P. Lohfink, F. Wetzels, J. Lukasczyk, G. H. Weber, and C. Garth. Fuzzy Contour Trees: Alignment and Joint Layout of Multiple Contour Trees. Comput. Graph. Forum, vol. 39, no. 3, pp. 343–355, 2020. 10.1111/cgf.13985

@article{lwlw+20,
  author = {Lohfink, Anna Pia and Wetzels, Florian and Lukasczyk, Jonas and Weber, Gunther H. and Garth, Christoph},
  doi = {10.1111/cgf.13985},
  journal = {Comput. Graph. Forum},
  number = {3},
  pages = {343--355},
  timestamp = {Wed, 26 Aug 2020 11:04:47 +0200},
  title = {Fuzzy Contour Trees: Alignment and Joint Layout of
  		  Multiple Contour Trees},
  url = {https://doi.org/10.1111/cgf.13985},
  volume = {39},
  year = {2020}
}

2019

M. Falk, C. Garth, C. Gueunet, J. A. Levine, J. Lukasczyk, J. Tierny, and J. Vidal. Topological Data Analysis Made Easy with the Topology ToolKit, A Sequel. In IEEE VIS Tutorials, Vancouver, Canada, Oct. 2019. https://hal.archives-ouvertes.fr/hal-02267191

@inproceedings{fggl+19,
  address = {Vancouver, Canada},
  author = {Falk, Martin and Garth, Christoph and Gueunet, Charles and Levine, Joshua A and Lukasczyk, Jonas and Tierny, Julien and Vidal, Jules},
  booktitle = {{IEEE VIS Tutorials}},
  hal_id = {hal-02267191},
  hal_version = {v1},
  month = oct,
  pdf = {https://hal.archives-ouvertes.fr/hal-02267191/file/template.pdf},
  title = {{Topological Data Analysis Made Easy with the Topology
  		  ToolKit, A Sequel}},
  url = {https://hal.archives-ouvertes.fr/hal-02267191},
  year = {2019}
}

2018

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}
}

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}
}

2017

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}
}

2015

J. Lukasczyk, R. Maciejewski, C. Garth, and H. Hagen. Understanding Hotspots: a Topological Visual Analytics Approach. In Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, Bellevue, WA, USA, November 3-6, 2015, 2015, pp. 36:1–36:10. 10.1145/2820783.2820817

@inproceedings{lmgh15a,
  author = {Lukasczyk, Jonas and Maciejewski, Ross and Garth, Christoph and Hagen, Hans},
  booktitle = {Proceedings of the 23rd {SIGSPATIAL} International
  		  Conference on Advances in Geographic Information Systems,
  		  Bellevue, WA, USA, November 3-6, 2015},
  doi = {10.1145/2820783.2820817},
  pages = {36:1--36:10},
  timestamp = {Thu, 09 Mar 2017 14:12:26 +0100},
  title = {Understanding Hotspots: a Topological Visual Analytics
  		  Approach},
  url = {http://doi.acm.org/10.1145/2820783.2820817},
  year = {2015},
  bdsk-url-2 = {https://doi.org/10.1145/2820783.2820817}
}

Department of Computer Science