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
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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
ICAT-EGVE 2023 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, J.-M. Normand, M. Sugimoto, and V. Sundstedt, Eds., The Eurographics Association, 2023. 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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K. Klein, M. Sedlmair, and F. Schreiber, “Immersive Analytics: An Overview,”
it - Information Technology, vol. 64, pp. 155–168, 2022, doi:
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Y. Zhang, K. Klein, O. Deussen, T. Gutschlag, and S. Storandt, “Robust Visualization of Trajectory Data,”
it - Information Technology, vol. 64, pp. 181–191, 2022, doi:
10.1515/itit-2022-0036.
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L. Joos, S. Jaeger-Honz, F. Schreiber, D. A. Keim, and K. Klein, “Visual Comparison of Networks in VR,”
IEEE Transactions on Visualization and Computer Graphics, vol. 28, Art. no. 11, 2022, [Online]. Available:
https://ieeexplore.ieee.org/document/9873980BibTeX
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:
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M. Kraus et al., “Immersive Analytics with Abstract 3D Visualizations: A Survey,”
Computer Graphics Forum, 2021, doi:
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M. Kraus, K. Klein, J. Fuchs, D. A. Keim, F. Schreiber, and M. Sedlmair, “The Value of Immersive Visualization,”
IEEE Computer Graphics and Applications (CG&A), vol. 41, Art. no. 4, 2021, doi:
10.1109/MCG.2021.3075258.
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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 et al., “Visual analytics of sensor movement data for cheetah behaviour analysis,”
Journal of Visualization, 2021, doi:
10.1007/s12650-021-00742-6.
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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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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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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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Y. Zhu et al., “Genome-scale Metabolic Modeling of Responses to Polymyxins in Pseudomonas Aeruginosa,”
GigaScience, vol. 7, Art. no. 4, 2018, doi:
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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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K. Marriott et al.,
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10.1007/978-3-030-01388-2.
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M. Klapperstueck et al., “Contextuwall: Multi-site Collaboration Using Display Walls,”
Journal of Visual Languages & Computing, vol. 46, pp. 35–42, 2018, doi:
10.1016/j.jvlc.2017.10.002.
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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:
10.1145/3095140.3095153.
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H. T. Nim et al., “Design Considerations for Immersive Analytics of Bird Movements Obtained by Miniaturised GPS Sensors,” in
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