Y. Zhang, H. Williams, F. Schreiber, and K. Klein, “Visualising the Invisible : Exploring Approaches for Visual Analysis of Dynamic Airflow in Geographic Environments Using Sensor Data,” in
Proceedings of the EuroVis Workshop on Visual Analytics 2024, Eindhoven, 2024. doi:
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M. Kern, S. Jaeger-Honz, F. Schreiber, and B. Sommer, “APL@voro—interactive visualization and analysis of cell membrane simulations,”
Bioinformatics, vol. 39, Art. no. 2, Feb. 2023, doi:
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W. Kerle-Malcharek, S. P. Feyer, F. Schreiber, and K. Klein, “GAV-VR: An Extensible Framework for Graph Analysis and Visualisation in Virtual Reality,” in
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L. Joos, S. Jaeger-Honz, F. Schreiber, D. A. Keim, and K. Klein, “Visual Comparison of Networks in VR,”
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K. Klein, M. Sedlmair, and F. Schreiber, “Immersive Analytics: An Overview,”
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Y. Zhang, K. Klein, O. Deussen, T. Gutschlag, and S. Storandt, “Robust Visualization of Trajectory Data,”
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D. Bienroth et al., “Spatially resolved transcriptomics in immersive environments,”
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F. Schreiber and D. Weiskopf, “Quantitative Visual Computing,”
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D. Garkov, C. Müller, M. Braun, D. Weiskopf, and F. Schreiber, “Research Data Curation in Visualization : Position Paper.” IEEE, pp. 56–65, 2022. doi:
10.1109/beliv57783.2022.00011.
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K. Klein, M. Aichem, Y. Zhang, S. Erk, B. Sommer, and F. Schreiber, “TEAMwISE : synchronised immersive environments for exploration and analysis of animal behaviour,”
Journal of Visualization, 2021, doi:
10.1007/s12650-021-00746-2.
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M. Kraus, K. Klein, J. Fuchs, D. A. Keim, F. Schreiber, and M. Sedlmair, “The Value of Immersive Visualization,”
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K. Klein et al., “Visual analytics of sensor movement data for cheetah behaviour analysis,”
Journal of Visualization, 2021, doi:
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K. Klein, D. Garkov, S. Rütschlin, T. Böttcher, and F. Schreiber, “QSDB—a graphical Quorum Sensing Database,”
Database, vol. 2021, Art. no. 2021, Nov. 2021, doi:
10.1093/database/baab058.
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M. Kraus et al., “Immersive Analytics with Abstract 3D Visualizations: A Survey,”
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M. Aichem et al., “Visual exploration of large metabolic models,”
Bioinformatics, vol. 37, Art. no. 23, May 2021, doi:
10.1093/bioinformatics/btab335.
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K. Klein, M. Aichem, B. Sommer, S. Erk, Y. Zhang, and F. Schreiber, “TEAMwISE: Synchronised Immersive Environments for Exploration and Analysis of Movement Data,” in
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K. Klein et al., “Fly with the flock : immersive solutions for animal movement visualization and analytics,”
Journal of the Royal Society Interface, vol. 16, Art. no. 153, 2019, doi:
10.1098/rsif.2018.0794.
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Y. Zhu et al., “Genome-scale Metabolic Modeling of Responses to Polymyxins in Pseudomonas Aeruginosa,”
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M. Klapperstueck et al., “Contextuwall: Multi-site Collaboration Using Display Walls,”
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V. Yoghourdjian, T. Dwyer, K. Klein, K. Marriott, and M. Wybrow, “Graph Thumbnails: Identifying and Comparing Multiple Graphs at a Glance,”
IEEE Transactions on Visualization and Computer Graphics, vol. 24, Art. no. 12, 2018, [Online]. Available:
https://ieeexplore.ieee.org/document/8249874BibTeX
M. Ghaffar et al., “3D Modelling and Visualisation of Heterogeneous Cell Membranes in Blender,” in
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M. de Ridder, K. Klein, and J. Kim, “A Review and Outlook on Visual Analytics for Uncertainties in Functional Magnetic Resonance Imaging,”
Brain Informatics, vol. 5, Art. no. 2, 2018, doi:
10.1186/s40708-018-0083-0.
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H. T. Nim et al., “Design Considerations for Immersive Analytics of Bird Movements Obtained by Miniaturised GPS Sensors,” in
Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), Eurographics Association, 2017. doi:
10.2312/vcbm.20171234.
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M. de Ridder, K. Klein, and J. Kim, “Temporaltracks: Visual Analytics for Exploration of 4D fMRI Time-series Coactivation,” in
Proceedings of the Computer Graphics International Conference (CGI), X. Mao, D. Thalmann, and M. L. Gavrilova, Eds., ACM, 2017, pp. 13:1–13:6. doi:
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