2024
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.
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.
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
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, Cameron, et al. ‘Mobilise-D Insights to Estimate Real-World Walking Speed in Multiple Conditions with a Wearable Device’. Scientific Reports, vol. 14, no. 1, Jan. 2024, p. 1754. www.nature.com, https://doi.org/10.1038/s41598-024-51766-5.
2023
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
Keogh, Alison, et al. ‘Mobilizing Patient and Public Involvement in the Development of Real-World Digital Technology Solutions: Tutorial’. Journal of Medical Internet Research, vol. 25, Oct. 2023, p. e44206. DOI.org (Crossref), https://doi.org/10.2196/44206.
Romijnders, Robbin, et al. ‘Ecological Validity of a Deep Learning Algorithm to Detect Gait Events from Real-Life Walking Bouts in Mobility-Limiting Diseases’. Frontiers in Neurology, vol. 14, Oct. 2023, p. 1247532. DOI.org (Crossref), https://doi.org/10.3389/fneur.2023.1247532.
Kirk, Cameron, et al. Estimating Real-World Walking Speed from a Single Wearable Device: Analytical Pipeline, Results and Lessons Learnt from the Mobilise-D Technical Validation Study. 22 June 2023. In Review, https://doi.org/10.21203/rs.3.rs-2965670/v1.
Micó-Amigo, M. Encarna, et al. ‘Assessing Real-World Gait with Digital Technology? Validation, Insights and Recommendations from the Mobilise-D Consortium’. Journal of NeuroEngineering and Rehabilitation, vol. 20, no. 1, June 2023, p. 78. DOI.org (Crossref), https://doi.org/10.1186/s12984-023-01198-5.
Cantu, Alma, et al. ‘Parallel Assemblies Plot, a Visualization Tool to Explore Categorical and Quantitative Data: Application to Digital Mobility Outcomes’. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), IEEE, 2023, pp. 21–30. DOI.org (Crossref), https://doi.org/10.1109/PacificVis56936.2023.00010.
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
2022
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
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
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
Z. Gozzi, V. Peysakhovich, A. Cantu, and M. Causse. Behavioral and Phys-
iological Assessment of a Virtual Reality Version of the MATB-II Task. In
HUCAPP 2022, pages 77–87, Online, Portugal, Feb. 2022.
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
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
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
2019
Nicolas S. Holliman, Arzu Coltekin, Sara J. Fernstad, Lucy McLaughlin, Michael D. Simpson, Andrew J. Woods – Visual Entropy and the Visualization of Uncertainty Link
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