Publications

2026


  • Yukai Guo, Lanxi Xiao, Xinhuan Shu, Qiong Wu, Bongshin Lee, Shixia Liu (2026). Unpacking Visual Metaphors in Infographics: A Design Space. Proceedings of 2026 CHI Conference on Human Factors in Computing Systems. 🏆 Best Paper Honorable Mention.

    Xin Shu, Lei Shi, Yiran Lin, Yan Zeng, Tingting Luo, Justice Ou, Mohamad Eid, Xinhuan Shu (2026). FretFlow: Adaptive Haptics for Rhythm and Articulation in Guitar Learning. Proceedings of 2026 CHI Conference on Human Factors in Computing Systems.

    Zixuan Wang, Yuanrong Guo, Eilidh Bowman, Yuxiang Zhai, Xinhuan Shu, Shengchen Zhang, Karey Helms, Tara Capel, John Vines (2026). Caring about Care: A Meta-Narrative Review of HCI Research on Care. Proceedings of 2026 CHI Conference on Human Factors in Computing Systems.

    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

  • Holliman, N. S., Çöltekin, A., Fernstad, S. J., McLaughlin, L., Simpson, M. D., & Woods, A. J. (2024). Entropy ordered shapes as bivariate glyphs. Electronic Imaging, 36, 1-10. https://doi.org/10.2352/EI.2024.36.11.HVEI-206

  • Alsufyani, S., Forshaw, M., Del Din, S., Yarnall, A., Rochester, L., & Fernstad, S. J. (2024). Multi-level visualization for exploration of structures in missing data. CGVC. The Eurographics Association.

  • 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

  • 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

  • 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

  • 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