A Design Space of Visualization Tasks. - Hans-Jörg Schulz; Thomas Nocke; Magnus Heitzler; Heidrun Schumann (IEEE Trans. Vis. Comput. Graph., 2013)

A Simulation and Visualization Environment for Spatiotemporal Disaster Risk Assessments of Network Infrastructures. - Magnus Heitzler; Juan Carlos Lam; Jürgen Hackl; Bryan T. Adey; Lorenz Hurni (Cartogr. Int. J. Geogr. Inf. Geovisualization, 2017)

A systematic view on data descriptors for the visual analysis of tabular data. - Hans-Jörg Schulz; Thomas Nocke; Magnus Heitzler; Heidrun Schumann (Inf. Vis., 2017)

Visualization Methods for Simulation-based Natural Disaster Risk Assessments of Road Networks. - Magnus Heitzler (2017)

An interactive tool for teaching map projections. - Magnus Heitzler; Hans-Rudolf Bär; Roland Schenkel; Lorenz Hurni (PeerJ Prepr., 2018)

Stress tests for a road network using fragility functions and functional capacity loss functions. - Juan Carlos Lam; Bryan T. Adey; Magnus Heitzler; Jürgen Hackl; Pierre Gehl; H. R. Noel van Erp; Dina D'Ayala; Pieter H. A. J. M. van Gelder; Lorenz Hurni (Reliab. Eng. Syst. Saf., 2018)

The Light Source Metaphor Revisited - Bringing an Old Concept for Teaching Map Projections to the Modern Web. - Magnus Heitzler; Hans-Rudolf Bär; Roland Schenkel; Lorenz Hurni (ISPRS Int. J. Geo Inf., 2019)

The State of the Art in Map-Like Visualization. - Marius Hogräfer; Magnus Heitzler; Hans-Jörg Schulz (Comput. Graph. Forum, 2020)

Cartographic reconstruction of building footprints from historical maps: A study on the Swiss Siegfried map. - Magnus Heitzler; Lorenz Hurni (Trans. GIS, 2020)

A survey of road feature extraction methods from raster maps. - Chenjing Jiao; Magnus Heitzler; Lorenz Hurni (Trans. GIS, 2021)

Cartographic Relief Shading with Neural Networks. - Bernhard Jenny; Magnus Heitzler; Dilpreet Singh; Marianna Farmakis-Serebryakova; Jeffery Chieh Liu; Lorenz Hurni (IEEE Trans. Vis. Comput. Graph., 2021)

Unsupervised historical map registration by a deformation neural network. - Sidi Wu; Raimund Schnürer; Magnus Heitzler; Lorenz Hurni (GeoAI@SIGSPATIAL, 2022)

A fast and effective deep learning approach for road extraction from historical maps by automatically generating training data with symbol reconstruction. - Chenjing Jiao; Magnus Heitzler; Lorenz Hurni (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Inferring Implicit 3D Representations from Human Figures on Pictorial Maps. - Raimund Schnürer; A. Cengiz Öztireli; Magnus Heitzler; René Sieber; Lorenz Hurni (CoRR, 2022)

Terrain Segmentation Using a U-Net for Improved Relief Shading. - Marianna Farmakis-Serebryakova; Magnus Heitzler; Lorenz Hurni (ISPRS Int. J. Geo Inf., 2022)

Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation. - Xue Xia; Tao Zhang; Magnus Heitzler; Lorenz Hurni (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Probabilistic road classification in historical maps using synthetic data and deep learning. - Dominik J. Mühlematter; Sebastian Schweizer; Chenjing Jiao; Xue Xia; Magnus Heitzler; Lorenz Hurni (CoRR, 2024)

Scale- and Resolution-Adapted Shaded Relief Generation Using U-Net. - Marianna Farmakis-Serebryakova; Magnus Heitzler; Lorenz Hurni (ISPRS Int. J. Geo Inf., 2024)

A novel framework for road vectorization and classification from historical maps based on deep learning and symbol painting. - Chenjing Jiao; Magnus Heitzler; Lorenz Hurni (Comput. Environ. Urban Syst., 2024)