Magnus Heitzler

704 total citations
38 papers, 494 citations indexed

About

Magnus Heitzler is a scholar working on Computer Vision and Pattern Recognition, Geography, Planning and Development and Ocean Engineering. According to data from OpenAlex, Magnus Heitzler has authored 38 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Geography, Planning and Development and 9 papers in Ocean Engineering. Recurrent topics in Magnus Heitzler's work include Geographic Information Systems Studies (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Automated Road and Building Extraction (8 papers). Magnus Heitzler is often cited by papers focused on Geographic Information Systems Studies (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Automated Road and Building Extraction (8 papers). Magnus Heitzler collaborates with scholars based in Switzerland, United Kingdom and Germany. Magnus Heitzler's co-authors include Lorenz Hurni, Hans‐Jörg Schulz, Thomas Nocke, Heidrun Schumann, Jürgen Hackl, Bryan T. Adey, Sidi Wu, Pieter van Gelder, Dina D’Ayala and Pierre Gehl and has published in prestigious journals such as SHILAP Revista de lepidopterología, ISPRS Journal of Photogrammetry and Remote Sensing and Reliability Engineering & System Safety.

In The Last Decade

Magnus Heitzler

36 papers receiving 480 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Magnus Heitzler Switzerland 10 215 98 84 77 73 38 494
Ya Hu China 15 125 0.6× 43 0.4× 154 1.8× 131 1.7× 97 1.3× 30 578
Yu Feng Germany 11 97 0.5× 21 0.2× 147 1.8× 115 1.5× 107 1.5× 44 549
Miguel Ángel Manso Callejo Spain 15 89 0.4× 28 0.3× 53 0.6× 84 1.1× 105 1.4× 60 626
Emily Schnebele United States 7 37 0.2× 111 1.1× 213 2.5× 109 1.4× 75 1.0× 8 569
Roland Billen Belgium 18 172 0.8× 41 0.4× 34 0.4× 158 2.1× 34 0.5× 115 1.1k
Jibo Xie China 12 54 0.3× 26 0.3× 105 1.3× 75 1.0× 25 0.3× 31 472
Yulin Ding China 12 59 0.3× 40 0.4× 96 1.1× 56 0.7× 96 1.3× 48 471
Saman Ghaffarian Netherlands 15 123 0.6× 60 0.6× 194 2.3× 17 0.2× 109 1.5× 34 769
Claudio Rossi Italy 11 52 0.2× 37 0.4× 147 1.8× 24 0.3× 35 0.5× 49 468
Guo Qingsheng China 9 54 0.3× 16 0.2× 65 0.8× 115 1.5× 89 1.2× 67 407

Countries citing papers authored by Magnus Heitzler

Since Specialization
Citations

This map shows the geographic impact of Magnus Heitzler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Magnus Heitzler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magnus Heitzler more than expected).

Fields of papers citing papers by Magnus Heitzler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Magnus Heitzler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Magnus Heitzler. The network helps show where Magnus Heitzler may publish in the future.

Co-authorship network of co-authors of Magnus Heitzler

This figure shows the co-authorship network connecting the top 25 collaborators of Magnus Heitzler. A scholar is included among the top collaborators of Magnus Heitzler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Magnus Heitzler. Magnus Heitzler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Heitzler, Magnus, et al.. (2024). Scale- and Resolution-Adapted Shaded Relief Generation Using U-Net. ISPRS International Journal of Geo-Information. 13(9). 326–326.
2.
Laube, Patrick, Michael Doering, Sidi Wu, et al.. (2024). Identifying anthropogenic legacy in freshwater ecosystems. Wiley Interdisciplinary Reviews Water. 11(4). 4 indexed citations
3.
Xia, Xue, Tao Zhang, Magnus Heitzler, & Lorenz Hurni. (2024). Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation. International Journal of Applied Earth Observation and Geoinformation. 129. 103837–103837. 2 indexed citations
4.
Wu, Sidi, et al.. (2022). Unsupervised historical map registration by a deformation neural network. Repository for Publications and Research Data (ETH Zurich). 76–81. 2 indexed citations
5.
Xia, Xue, Magnus Heitzler, & Lorenz Hurni. (2022). CNN-BASED TEMPLATE MATCHING FOR DETECTING FEATURES FROM HISTORICAL MAPS. SHILAP Revista de lepidopterología. XLIII-B2-2022. 1167–1173. 3 indexed citations
6.
Wu, Sidi, Magnus Heitzler, & Lorenz Hurni. (2022). Leveraging uncertainty estimation and spatial pyramid pooling for extracting hydrological features from scanned historical topographic maps. GIScience & Remote Sensing. 59(1). 200–214. 17 indexed citations
7.
Heitzler, Magnus, et al.. (2021). Utilizing convolutional neural networks to extract road features from Swiss historical maps. Abstracts of the ICA. 3. 1–2. 2 indexed citations
8.
Eugster, Werner, Lukas P. Baumgartner, Olivier Bachmann, et al.. (2021). Geosciences Roadmap for Research Infrastructures 2025–2028 by the Swiss Geosciences Community. DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)).
9.
Heitzler, Magnus, et al.. (2020). The State of the Art in Map‐Like Visualization. Computer Graphics Forum. 39(3). 647–674. 36 indexed citations
10.
Heitzler, Magnus, et al.. (2020). Extracting Wetlands from Swiss Historical Maps with ConvolutionalNeural Networks. 33–38. 9 indexed citations
11.
Heitzler, Magnus, et al.. (2020). A Semi-Automatic Label Digitization Workflow for the Siegfried Map. 57–64. 3 indexed citations
12.
Hackl, Jürgen, et al.. (2020). Impact Assessment of Extreme Hydrometeorological Hazard Events on Road Networks. Journal of Infrastructure Systems. 26(2). 9 indexed citations
13.
Heitzler, Magnus, et al.. (2019). The Light Source Metaphor Revisited—Bringing an Old Concept for Teaching Map Projections to the Modern Web. ISPRS International Journal of Geo-Information. 8(4). 162–162. 1 indexed citations
14.
Hackl, Jürgen, et al.. (2018). Estimating network related risks: A methodology and an application in the transport sector. Natural hazards and earth system sciences. 18(8). 2273–2293. 39 indexed citations
15.
Hackl, Jürgen, et al.. (2018). Estimating the risk related to networks: a methodology and an application on a road network. Biogeosciences (European Geosciences Union). 3 indexed citations
16.
Hackl, Jürgen, et al.. (2017). Development of flood and mudflow events for the spatio-temporal risk assessment of networks.. 179–185. 5 indexed citations
17.
Heitzler, Magnus, et al.. (2017). A Simulation and Visualization Environment for Spatiotemporal Disaster Risk Assessments of Network Infrastructures. Cartographica The International Journal for Geographic Information and Geovisualization. 52(4). 349–363. 8 indexed citations
18.
Adey, Bryan T., et al.. (2016). Ensuring acceptable levels of infrastructure related risks due to natural hazards with emphasis on conducting stress tests. Repository for Publications and Research Data (ETH Zurich). 10 indexed citations
19.
Hackl, Jürgen, et al.. (2015). An overarching risk assessment process to evaluate the risks associated with infrastructure networks due to natural hazards. HAL (Le Centre pour la Communication Scientifique Directe). 7 indexed citations
20.
Schulz, Hans‐Jörg, Thomas Nocke, Magnus Heitzler, & Heidrun Schumann. (2013). A Design Space of Visualization Tasks. IEEE Transactions on Visualization and Computer Graphics. 19(12). 2366–2375. 135 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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