Henry Ehlers

Projektass. / BSc MSc

Henry Ehlers

Role

PreDoc Researcher
Algorithms and Complexity, E192-01

Contact

Publications

Wiggle! Wiggle! Wiggle! Visualizing uncertainty in node attributes in straight-line node-link diagrams using animated wiggliness / Ehlers, H., Pahr, D., Di Bartolomeo, S., Filipov, V., Wu, H.-Y., & Raidou, R. G. (2025). Wiggle! Wiggle! Wiggle! Visualizing uncertainty in node attributes in straight-line node-link diagrams using animated wiggliness. COMPUTERS & GRAPHICS-UK, 131, Article 104290. https://doi.org/10.1016/j.cag.2025.104290
Projects: ArtVis (2022–2027) / SANE (2024–2027)
An introduction to and survey of biological network visualization / Ehlers, H., Brich, N., Krone, M., Nöllenburg, M., Yu, J., Natsukawa, H., Yuan, X., & Wu, H.-Y. (2025). An introduction to and survey of biological network visualization. COMPUTERS & GRAPHICS-UK, 126, Article 104115. https://doi.org/10.1016/j.cag.2024.104115
BattleGraphs: Forge, Fortify, and Fight in the Network Arena / Ehlers, H., Pahr, D., Di Bartolomeo, S., Stoiber, C., & Filipov, V. (2025). BattleGraphs: Forge, Fortify, and Fight in the Network Arena. In C. Stoiber, M. Boucher, V. A. de Jesus Oliveira, V. Schetinger, V. Filipov, R. G. Raidou, L. Amabili, M. Keck, & W. Aigner (Eds.), Visgames 2025: EuroVis Workshop on Visualization Play, Games, and Activities. The Eurographics Association. https://doi.org/10.2312/visgames.20251161
Projects: ArtVis (2022–2027) / SANE (2024–2027)
NODKANT: exploring constructive network physicalization / Pahr, D., Di Bartolomeo, S., Ehlers, H., Filipov, V. A., Stoiber, C., Aigner, W., Wu, H.-Y., & Raidou, R. G. (2025). NODKANT: exploring constructive network physicalization. Computer Graphics Forum, Article e70140. https://doi.org/10.1111/cgf.70140
Download: Paper (14.3 MB)
Projects: ArtVis (2022–2027) / SANE (2024–2027) / SMGV-Esprit (2024–2027)
Penta: Towards Visualizing Compound Graphs as Set-Typed Data / Ehlers, H., Kerndler, M., & Raidou, R. G. (2025). Penta: Towards Visualizing Compound Graphs as Set-Typed Data. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP, HUCAPP and IVAPP: IVAPP, (pp. 913–921). https://doi.org/10.5220/0013242300003912
HoloGraphs: An Interactive Physicalization for Dynamic Graphs / Pahr, D., Ehlers, H., & Filipov, V. (2025). HoloGraphs: An Interactive Physicalization for Dynamic Graphs. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP, HUCAPP and IVAPP: IVAPP, (pp. 859–866). https://doi.org/10.5220/0013116000003912
Me! Me! Me! Me! A study and comparison of ego network representations / Ehlers, H., Pahr, D., Filipov, V., Wu, H.-Y., & Raidou, R. G. (2024). Me! Me! Me! Me! A study and comparison of ego network representations. COMPUTERS & GRAPHICS-UK, 125, 1–15. https://doi.org/10.1016/j.cag.2024.104123
Download: PDF (2.36 MB)
Investigating the Effect of Operation Mode and Manifestation on Physicalizations of Dynamic Processes / Pahr, D., Ehlers, H., Wu, H., Waldner, M., & Raidou, R. G. (2024). Investigating the Effect of Operation Mode and Manifestation on Physicalizations of Dynamic Processes. Computer Graphics Forum, 43(3), Article e15106. https://doi.org/10.1111/cgf.15106
Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities / Ehlers, H., Marin, D., Wu, H.-Y., & Raidou, R. (2024). Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1, HUCAPP and IVAPP (pp. 697–708). https://doi.org/10.5220/0012431200003660
Visualization of Relationships between Precipitation and River Water Levels / Tanaka, Y., Angeliki, G., Henry, E., Raidou, R. G., Gröller, E., & Itoh, T. (2024). Visualization of Relationships between Precipitation and River Water Levels. In 2024 28th International Conference Information Visualisation (IV) (pp. 58–63). IEEE. https://doi.org/10.1109/IV64223.2024.00020
ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty / Musleh, M., Ceneda, D., Ehlers, H., & Raidou, R. G. (2024). ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty. Computer Graphics Forum. https://doi.org/10.1111/cgf.15272
Improving readability of static, straight-line graph drawings: A first look at edge crossing resolution through iterative vertex splitting / Ehlers, H., Villedieu, A., Raidou, R. G., & Wu, H.-Y. (2023). Improving readability of static, straight-line graph drawings: A first look at edge crossing resolution through iterative vertex splitting. COMPUTERS & GRAPHICS-UK, 116, 448–463. https://doi.org/10.1016/j.cag.2023.09.010