Publications

2026

  • Riddell J, Letina S, Skivington K, Archambault D, Wells V, Long E, Hunter R, McCann M, MINI team. Methods for Interventions using Networks to Improve Health: a narrative synthesis of methodological research on network data collection, visualisation and intervention. Social Networks 2026, 84, 202-219. 10.1016/j.socnet.2025.10.003

2025

  • Wallinger M, Piselli T, Tappini A, Archambault D, Liotta G, Nollenburg M. Bundling-Aware Graph Drawing Revisited. IEEE Transactions on Visualization and Computer Graphics, 31(12):10828-10839, 2025 10.1109/TVCG.2025.3616583

  • Baumgartl T, Sondag M, Filipov V, Rajendran S, Miksch S, Archambault D, Arleo A, von Landesberger T. Layers of Doubt: Typology of Temporal Uncertainty in Dynamic Diffusion Networks. In: VIS 2025 Uncertainty Visualization Workshop. 2025, Vienna, Austria. 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. Embarrassingly Agile — Data Visualization Methodology in Emergency Responses. IEEE Computer Graphics and Applications 2025, 45(5), 138-146. 10.1109/MCG.2025.3595342

  • Krawczyk K, Tam GKL, Archambault D. Financial Forecasting in Consumer Cyclicals with Economic Indicators and Tokenization. International Journal of Computer Theory and Engineering 2025, 17(4), 179-188.

  • Almajyul A, Archambault D, Forshaw M. Are large screens effective at supporting the analysis of delay visualizations?. In: 29th International Conference on Information Visualisation (IV ’25). 2025, Darmstadt University of Applied Sciences, Germany: IEEE. 10.1109/IV68685.2025.00015

  • Zhu, J., Cheng, X., Luo, Z., Zhou, Y., Shu, X., Weng, D., & Wu, Y. (2025). ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts. Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology, 1–16. https://doi.org/10.1145/3746059.3747689

  • Xie, L., Lin, Y., Liu, C., Qu, H., & Shu, X. (2025). DataWink: Reusing and Adapting SVG-based Visualization Examples with Large Multimodal Models. IEEE Transactions on Visualization and Computer Graphics, 1–11. https://doi.org/10.1109/TVCG.2025.3634635

  • Bell, G., & Cantu, A. (2025). Dichoptic Opacity: Managing Occlusion in Stereoscopic Displays via Dichoptic Presentation. https://doi.org/10.1109/VIS60296.2025.00078

  • 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

  • Lumsdon, J., Wilson, C., Alcock, L., Becker, C., Benvenuti, F., Bonci, T., Van Den Brande, K., Brittain, G., Brown, P., Buckley, E., Caruso, M., Caulfield, B., Cereatti, A., Delgado-Ortiz, L., Del DIn, S., Evers, J., Garcia-Aymerich, J., Gaßner, H., Gur Arieh, T., … Cantu, A. (2025). Co-creating the visualisation of digital mobility outcomes: A Delphi-type process with patients. JMIR Formative Research. https://doi.org/10.2196/68782

  • Li, D., Guo, X., Shu, X., Xiao, L., Yu, L., & Liu, S. (2025). RouteFlow: Trajectory-Aware Animated Transitions. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–17. https://doi.org/10.1145/3706598.3714300 🏆 Best Paper at CHI 2025

  • 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

  • Filipov, V., Ceneda, D., Archambault, D., & Arleo, A. (2025). Timelighting: Guided exploration of 2d temporal network projections. IEEE Transactions on Visualization and Computer Graphics, 31(3), 1932–1944. https://doi.org/10.1109/TVCG.2024.3514858

2024

  • Shu, X., Pister, A., Tang, J., Chevalier, F., & Bach, B. (2024). Does This Have a Particular Meaning? Interactive Pattern Explanation for Network Visualizations. IEEE Transactions on Visualization and Computer Graphics (VIS’24). https://arxiv.org/pdf/2408.01272 🏆 Best Paper at IEEE VIS 2024

  • Wang, J., Shu, X., Bach, B., & Hinrichs, U. (2024). Visualization atlases: Explaining and exploring complex topics through data, visualization, and narration. IEEE Transactions on Visualization and Computer Graphics (VIS’24). https://arxiv.org/pdf/2408.07483.

  • Zhongsu Luo, Kai Xiong, Jiajun Zhu, Ran Chen, Xinhuan Shu, Di Weng, Yingcai Wu (2024). Ferry: Toward Better Understanding of Input/Output Space for Data Wrangling Scripts. IEEE Transactions on Visualization and Computer Graphics (VIS’24). https://ieeexplore.ieee.org/document/10670464.

  • Daniel Archambault, Giuseppe Liotta, Martin Nöllenburg, Tommaso Piselli, Alessandra Tappini and Markus Wallinger (alphabetical order listing of authors). Bundling-Aware Graph Drawing. Graph Drawing
    and Network Visualization (GD ’24), 2024. https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2024.15

  • Vago, B., Archambault, D. and Arleo, A. (2024), DynTrix: A Hybrid Representation for Dynamic Graphs. Computer Graphics Forum (EuroVis ’24), 43: e15076. https://doi.org/10.1111/cgf.15076 https://diglib.eg.org/handle/10.1111/cgf15076.

  • Yanwei Huang, Yurun Yang, Xinhuan Shu, Ran Chen, Di Weng, and Yingcai Wu. 2024. Table Illustrator: Puzzle-based interactive authoring of plain tables. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24). https://doi.org/10.1145/3613904.3642415

  • Rottmann, P., Rodgers, P., Yan, X., Archambault, D., Wang, B. and Haunert, J.-H. (2024), Generating Euler Diagrams Through Combinatorial Optimization. Computer Graphics Forum, 43: e15089. https://doi.org/10.1111/cgf.15089 https://diglib.eg.org/handle/10.1111/cgf15089.

  • Z. Huang, D. Archambault, R. Borgo, and A. Kerren (2024), Matrix Snap&Go: Visualization of Paths on Matrices. Proceedings of EuroVis Short papers https://diglib.eg.org/handle/10.2312/evs20241058.

  • Ruddle, R., Cheshire, J. & Johansson Fernstad, S. (2024). A Practical Guide to Characterising Data and Investigating Data Quality. University of Leeds. https://doi.org/10.5518/1481

  • Kirk, C., Küderle, A., Micó-Amigo, M. E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Soltani, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., … Van Gelder, L. (2024). Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device. Scientific Reports, 14(1), 1754. https://doi.org/10.1038/s41598-024-51766-5

2023

  • Keogh, A., Mc Ardle, R., Diaconu, M. G., Ammour, N., Arnera, V., Balzani, F., Brittain, G., Buckley, E., Buttery, S., Cantu, A., Corriol-Rohou, S., Delgado-Ortiz, L., Duysens, J., Forman-Hardy, T., Gur-Arieh, T., Hamerlijnck, D., Linnell, J., Leocani, L., McQuillan, T., … Mobilise-D consortium. (2023). Mobilizing patient and public involvement in the development of real-world digital technology solutions: Tutorial. Journal of Medical Internet Research, 25, e44206. https://doi.org/10.2196/44206

  • Alzahrani, H. & Johansson Fernstad, S. (2023). An investigation into various visualization tools for complex biological networks. Information Visualization, 22(4), 323-339. https://doi.org/10.1177/14738716231181545

  • Romijnders, R., Salis, F., Hansen, C., Küderle, A., Paraschiv-Ionescu, A., Cereatti, A., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Bonci, T., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., Chiari, L., D’Ascanio, I., … Maetzler, W. (2023). Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases. Frontiers in Neurology, 14, 1247532. https://doi.org/10.3389/fneur.2023.1247532

  • Kirk, C., Kuederle, A., Mico-Amigo, M. E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Soltani, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., … Din, S. D. (2023). Estimating real-world walking speed from a single wearable device: Analytical pipeline, results and lessons learnt from the Mobilise-D technical validation study. https://doi.org/10.21203/rs.3.rs-2965670/v1

  • Ruddle, R. A., Cheshire, J., & Johansson Fernstad, S. (2023). Tasks and Visualizations Used for Data Profiling: A Survey and Interview Study. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2023.3234337

  • Cantu, A., Micó-Amigo, M. E., Del Din, S., & Fernstad, S. J. (2023). Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: Application to digital mobility outcomes. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), 21–30. https://doi.org/10.1109/PacificVis56936.2023.00010

  • Micó-Amigo, M. E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Kirk, C., Soltani, A., Küderle, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., … for the Mobilise-D consortium. (2023). Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium. Journal of NeuroEngineering and Rehabilitation, 20(1), 78. https://doi.org/10.1186/s12984-023-01198-5

2022

  • Koc, K., McGough, A. S., & Johansson Fernstad, S. (2022). PeaGlyph: Glyph design for investigation of balanced data structures. Information Visualization, 21(1), 74-92. https://doi.org/10.1177/14738716211050602

  • Macquisten, A., Smith, A. M., & Johansson Fernstad, S. (2022). Hierarchical Visualization for Exploration of Large and Small Hierarchies. In Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery (pp. 587-612). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-93119-3_23

  • Gozzi, Z., Peysakhovich, V., Cantu, A., & Causse, M. (2022). Behavioral and physiological assessment of a virtual reality version of the matb-ii task: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 77–87. https://doi.org/10.5220/0010912100003124

  • Garner, H. & Johansson Fernstad, S. (2022) Comparative Evaluation of the Scatter Plot Matrix and Parallel Coordinates Plot Matrix. In 2022 26th International Conference on Information Visualization (IV). IEEE. https://doi.org/10.1109/IV56949.2022.00027

2021

  • Johansson Fernstad, S., & Johansson Westberg, J. (2021). To Explore What Isn’t There—Glyph-Based Visualization for Analysis of Missing Values. IEEE Transactions on Visualization and Computer Graphics, 28(10), 3513-3529. https://doi.org/10.1109/TVCG.2021.3065124

2020

  • Johansson Fernstad, S., Macquisten, A., Berrington, J. E., Embleton, N. D., & Stewart, C. J. (2020). Quality Metrics to Guide Visual Analysis of High Dimensional Genomics Data. In EuroVA@ Eurographics/EuroVis (pp. 31-35). https://doi.org/10.2312/eurova.20201083

  • Macquisten, A., Smith, A. M., & Johansson Fernstad, S. (2020, September). Evaluation of hierarchical visualization for large and small hierarchies. In 2020 24th International Conference Information Visualisation (IV) (pp. 166-173). IEEE. https://doi.org/10.1109/IV51561.2020.00036

2019

  • Holliman, N. S., Coltekin, A., Fernstad, S. J., McLaughlin, L., Simpson, M. D., & Woods, A. J. (2022). Visual entropy and the visualization of uncertainty (arXiv:1907.12879). arXiv. https://doi.org/10.48550/arXiv.1907.12879

  • Johansson Fernstad, S. (2019). To identify what is not there: A definition of missingness patterns and evaluation of missing value visualization. Information Visualization, 18(2), 230-250. https://doi.org/10.1177/1473871618785387

2018

2017

  • Grube, M., Gaya, E., Kauserud, H., Smith, A. M., Avery, S. V., Fernstad, S. J., … & Bendiksby, M. (2017). The next generation fungal diversity researcher. Fungal Biology Reviews, 31(3), 124-130. https://doi.org/10.1016/j.fbr.2017.02.001