Kathrin Guckes, Marc Schäpers, Prof Pohl, Prof Kerren, Prof von Landesberger (2024). A Shape Change Enhancing Hierarchical Layout for the Pairwise Comparison of Directed Acyclic Graphs.
https://doi.org/10.48550/arXiv.2406.05560

Kathrin Guckes, Lisa Eisenhardt, Prof Pohl, Prof von Landesberger (2024). GuidelineExplorer--Navigating through the Forrest of Actionable Guidelines on Node-Link Graph Visualization.
https://doi.org/10.48550/arXiv.2406.05558

Kathrin Guckes, Alena Beyer, Prof Pohl, Prof von Landesberger (2024). Learning Human Detected Differences in Directed Acyclic Graphs.
https://doi.org/10.48550/arXiv.2406.05561

Schmitz, T. & Gerrits, T. (2024). Exploring Uncertainty Visualization for Degenerate Tensors in 3D Symmetric Second-Order Tensor Field Ensembles. 2024 IEEE VIS Workshop on Uncertainty Visualization. doi: https://doi.org/10.48550/arXiv.2408.08099

Best Paper Award Uncertainty Visualization Workshop (VIS24)

Daniel Archambault, Fintan McGee, Nicolás Reinoso-Schiller, Tatiana von Landesberger, and Simone Scheithauer. Reflections on Pandemic Visualization (Dagstuhl Seminar 24091). In Dagstuhl Reports, Volume 14, Issue 2, pp. 191-205, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/DagRep.14.2.191

D. Braun, R. Chang, M. Gleicher and T. v. Landesberger, "Beware of Validation by Eye: Visual Validation of Linear Trends in Scatterplots," in IEEE Transactions on Visualization and Computer Graphics, 2024, doi: 10.1109/TVCG.2024.3456305.

Marschollek, M., Marquet, M., Reinoso Schiller, N. et al. Automatisierte Surveillance und Risikovorhersage mit dem Ziel einer risikostratifizierten Infektionskontrolle und -prävention (RISK Prediction for Risk-stratified Infection Control and Prevention). Bundesgesundheitsbl (2024). doi: 10.1007/s00103-024-03882-w

Schiller, N. R., Bludau, A., Mathes, T., König, A., von Landesberger, T. & Scheithauer, S. (2023). Unpacking Nudge Sensu Lato: Insights from a Scoping Review. Journal of Hospital Infection. doi: 10.1016/j.jhin.2023.11.001.

Graniczkowska, C., Pelchmann, L.,  von Landesberger, T. and Pohl, M. (2023). Factors Influencing Visual Comparison of Colored Directed Acyclic Graphs. doi. https://doi.org/10.2312/vmv.20231232

D. Braun, R. Borgo, M. Sondag and T. von Landesberger, "Reclaiming the Horizon: Novel Visualization Designs for Time-Series Data with Large Value Ranges," in IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 1, pp. 1161-1171, Jan. 2024, doi: 10.1109/TVCG.2023.3326576.

D. Braun, A. Suh, R. Chang, M. Gleicher and T. v. Landesberger, "Visual Validation versus Visual Estimation: A Study on the Average Value in Scatterplots," 2023 IEEE Visualization and Visual Analytics (VIS), Melbourne, Australia, 2023, pp. 181-185, doi: 10.1109/VIS54172.2023.00045.

Gleicher, M., Riveiro, M., von Landesberger, T., Deussen, O., Chang, R. & Gillman, C. (2023). A Problem Space for Designing Visualizations. IEEE Computer Graphics and Applications 43 (4), 111--120.  (Doi: 10.1109/mcg.2023.3267213.)

Mcneill, G., Sondag, M., Powell, S., Asplin, P., Turkay, C., Moller, F. & Archambault, D.  (2023). From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children. In A. Schmidt, K. Väänänen, T. Goyal, P. O. Kristensson, A. Peters, S. Mueller, J. R. Williamson & M. L. Wilson (ed.),Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, April 23-28, 2023 (pp. 839:1--839:17). ACM. doi: 10.1145/3544548.3581573

Höhn, M., Wunderlich, M., Ballweg, K., Kohlhammer, J. & Landesberger, T. v. (2023). Interactive Input and Visualization for Planning with Temporal Uncertainty. SN Comput. Sci. 4 (3), 231.  Doi: 10.1007/s42979-023-01705-4

Pelchmann, L., Bremm, S., Ebell, K.  and von Landesberger, T. (2023). Explorative Study on Semantically Resonant Colors for Combinations of Categories with Application to Meteorological Data. doi: https://doi.org/10.2312/evp.20231061

Braun, D., Ebell, K., Schemann, V., Pelchmann, L., Crewell, S., Borgo, R., & von Landesberger, T., "Color Coding of Large Value Ranges Applied to Meteorological Data," 2022 IEEE Visualization and Visual Analytics (VIS), Oklahoma City, OK, USA, 2022, pp. 125-129, doi: 10.1109/VIS54862.2022.00034

Sondag, M., Turkay, C., Xu, K., Matthews, L., Mohr, S. & Archambault, D. (2022). Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response. Computer Graphics Forum 41 (3), 29-41.  doi: 10.1111/cgf.14520. Best paper honourable mention.

Roberts, J. C., Bach, B., Boucher, M., Chevalier, F., Diehl, A., Hinrichs, U., Huron, S., Kirk, A., Knudsen, S., Meirelles, I., Noonan, R., Pelchmann, L., Rajabiyazdi, F. & Stoiber, C. (2022). Reflections and Considerations on Running Creative Visualization Learning Activities. CoRR abs/2209.09807.   doi:10.1109/VisGuides57787.2022.00009

Aerts, J., Aigner, W., Bach, B., Bishop, F., Boucher, M., Cheng, P. C.-H., Diehl, A., Dykes, J., Hayes, S., Hinrichs, U., Huron, S., Kinkeldey, C., Kirk, A., Knudsen, S., Kosminsky, D., Losev, T., Manataki, A., Manches, A., Meirelles, I., Morais, L., Nagel, T., Noonan, R., Panagiotidou, G., Pelchmann, L., Rajabiyazdi, F., Stoiber, C., Landesberger, T. v., Walny, J. & Willett, W.  (2022). Me-ifestos for Visualization Empowerment in Teaching (and Learning?). https://pure.itu.dk/en/publications/me-ifestos-for-visualization-empowerment-in-teaching-and-learning

Moller, F., Powell, S., Asplin, P., Archambault, D., Turkay, C., McNeill, G. & Sondag, M. S. (2022). Modelling Zombies and Other Diseases. doi: 10.34641/ctestem.2022.457

Höhn, M., Wunderlich, M., Ballweg, K., Kohlhammer, J. & Landesberger, T. v.  (2022). Interactive Input and Visualization for Planning with Temporal Uncertainty. In C. Hurter, H. C. Purchase & K. Bouatouch (ed.),Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Volume 3: IVAPP, Online Streaming, February 6-8, 2022 (pp. 27--37). SCITEPRESS. doi: 10.5220/0010761900003124

Schäfer, S., Baumgartl, T., Wulff, A., Kuijper, A., Marschollek, M., Scheithauer, S. & Landesberger, T. v.  (2022). Interactive Visualization of Machine Learning Model Results Predicting Infection Risk. In M. Krone, S. Lenti & J. Schmidt (ed.),24th Eurographics Conference on Visualization, EuroVis 2022 - Posters, Rome, Italy, June 13-17, 2023 (pp. 31--33). Eurographics Association. doi: 10.2312/evp.20221113

Hamacher, K., Kussel, T., Landesberger, T. v., Baumgartl, T., Höhn, M., Scheithauer, S., Marschollek, M. & Wulff, A. (2022). Fallzahlen, Re-Identifikation und der technische Datenschutz. Datenschutz und Datensicherheit 46 (3), 143--148.  doi: 10.1007/s11623-022-1579-6

Nickel, S., Sondag, M., Meulemans, W., Kobourov, S. G., Peltonen, J. & Nöllenburg, M. (2022). Multicriteria Optimization for Dynamic Demers Cartograms. IEEE Trans. Vis. Comput. Graph. 28 (6), 2376--2387.  doi: 10.1109/TVCG.2022.3151227

Wulff, A., Biermann, P., Landesberger, T. v., Baumgartl, T., Schmidt, C., Alhaji, A. Y., Schick, K., Waldstein, P., Zhu, Y., Krefting, D., Scheithauer, S. & Marschollek, M.  (2021). Tracing COVID-19 Infection Chains Within Healthcare Institutions - Another Brick in the Wall Against SARS-CoV-2. In P. Otero, P. Scott, S. Z. Martin & E. Huesing (ed.), MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics, Virtual Event, 2-4 October 2021, Vol. 290 (pp. 699--703). IOS Press. doi: 10.3233/SHTI220168

McGee, F., Renoust, B., Archambault, D., Ghoniem, M., Kerren, A., Pinaud, B., Pohl, M., Otjacques, B., Melançon, G. & Landesberger, T. v. (2021). Visual Analysis of Multilayer Networks. Morgan & Claypool Publishers. doi: 10.2200/S01094ED1V01Y202104VIS012

Turkay, C., Landesberger, T. v., Archambault, D., Liu, S. & Chang, R. (2021). Special Issue on Interactive Visual Analytics for Making Explainable and Accountable Decisions. ACM Trans. Interact. Intell. Syst. 11 (3-4), 17:1--17:4.  (Doi: 10.1145/3471903.) doi: 10.1145/3471903

Baumgartl, T., Petzold, M., Wunderlich, M., Höhn, M., Archambault, D., Lieser, M., Dalpke, A., Scheithauer, S., Marschollek, M., Eichel, V., Mutters, N. T., Consortium, H. & Landesberger, T. v. (2021). In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals. IEEE Trans. Vis. Comput. Graph. 27 (2), 711--721.  doi: 10.1109/TVCG.2020.3030437 Best Paper Honorable Mention VAST (VIS22)