Author: Daniel

Wallinger, M., Piselli, T., Tappini, A., Archambault, D., Liotta, G., & Nöllenburg, M. (2025). Bundling-aware graph drawing revisited. IEEE Transactions on Visualization and Computer Graphics, 31(12), 10828–10839. https://doi.org/10.1109/TVCG.2025.3616583

Baumgartl, T., Filipov, V., Rajendran, S., Miksch, S., Archambault, D., Arleo, A., & Von Landesberger, T. (2025). Layers of doubt: Typology of temporal uncertainty in dynamic diffusion networks. 2025 IEEE Workshop on Uncertainty Visualization: Unraveling Relationships of Uncertainty, AI, and Decision-Making, 53–57. https://doi.org/10.1109/UncertaintyVisualization68947.2025.00012 🏆 Best Paper Honourable Mention at VIS 2025 Uncertainty Workshop

Kozlikova, B., Archambault, D., Dreesman, J., Kerren, A., Lucini, B., & Turkay, C. (2025). Embarrassingly agile—Data visualization methodology in emergency responses. IEEE Computer Graphics and Applications, 45(5), 138–146. https://doi.org/10.1109/MCG.2025.3595342

Krawczyk, K., Tam, G. K. L., & Archambault, D. (2025). Financial forecasting in consumer cyclicals with economic indicators and tokenization. International Journal of Computer Theory and Engineering, 17(4), 179–188. https://doi.org/10.7763/IJCTE.2025.V17.1380

Almajyul, A., Archambault, D., & Forshaw, M. (2025). Are large screens effective at supporting the analysis of delay visualizations? 2025 29th International Conference Information Visualisation (IV), 13–18. https://doi.org/10.1109/IV68685.2025.00015

Riddell, J., Letina, S., Skivington, K., Archambault, D., Wells, V., Long, E., Hunter, R., & McCann, M. (2026). Methods for interventions using networks to improve health: A narrative synthesis of methodological research on network data collection, visualisation and intervention. Social Networks, 84, 202–219. https://doi.org/10.1016/j.socnet.2025.10.003

Jeon, H., Lee, H., Kuo, Y.-H., Yang, T., Archambault, D., Ko, S., Fujiwara, T., Ma, K.-L., & Seo, J. (2025). Navigating high-dimensional backstage: A guide for exploring literature for the reliable use of dimensionality reduction. EuroVis 2025 – Short Papers. https://doi.org/10.2312/EVS.20251087

Jeon, H., Lee, H., Kuo, Y.-H., Yang, T., Archambault, D., Ko, S., Fujiwara, T., Ma, K.-L., & Seo, J. (2025). Unveiling high-dimensional backstage: A survey for reliable visual analytics with dimensionality reduction. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–24. https://doi.org/10.1145/3706598.3713551

Wallinger, M., Akbulut, O., Rufai, K. A., Purchase, H. C., & Archambault, D. (2025). How do people perceive bundling? An experiment. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3706598.3713444

Archambault, D. (2025). On the importance of visualisation in a data driven society: Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 7–10. https://doi.org/10.5220/0013445500003912