Sander Münster

42 papers receiving 353 citations

Hit Papers

Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe 2024 · 28 citations
280+1Years since publication510152025

Peers

Sander Münster
Comparison fields: 5 of 79
  • Space and Planetary Science 61
  • Geology 231
  • Conservation 107
  • Museology 35
  • Computer Vision and Pattern Recognition 145
Replace Ramona Quattrini with:
Ramona Quattrini Italy
Paolo Clini Italy
Mario Santana Quintero Canada
Stuart James United Kingdom
Sorin Hermon Cyprus
Paul Reilly United Kingdom
Franco Niccolucci Italy
Hafizur Rahaman Australia
Alonzo C. Addison United States
Bruno Fanini Italy
Sander Münster relative to Ramona Quattrini Italy Ramona Quattrini's profile →
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Citations per year

Countries citing papers authored by Sander Münster

Since Specialization
Citations

This map shows the geographic impact of Sander Münster'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 Sander Münster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sander Münster more than expected).

Fields of papers citing papers by Sander Münster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sander Münster. 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 Sander Münster. The network helps show where Sander Münster may publish in the future.

Co-authors

The 22 scholars most cited alongside Sander Münster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sander Münster Line = papers co-authored together Sander Münster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201756
2 201729
3
Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe
Hit paper breakdown →
202428
4 201925
5 201921
6 201921
7 201817
8 201817
9 201913
10 202412
11 201312
12 201612
13 202112
14 201812
15 202011
16 20179
17 20199
18 20237
19
Entstehungs- und Verwendungskontexte von 3D-CAD-Modellen in den Geschichtswissenschaften
20117
20 20237

About Sander Münster

Sander Münster is a scholar working on Geology, Computer Vision and Pattern Recognition, Conservation, Space and Planetary Science and Museology, having authored 43 papers that have together received 406 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (25 papers), Image Processing and 3D Reconstruction (9 papers), Archaeological Research and Protection (8 papers), Museums and Cultural Heritage (6 papers), Conservation Techniques and Studies (6 papers), Digital Humanities and Scholarship (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Space and Planetary Science (61 citations), Geology (231 citations), Conservation (107 citations), Museology (35 citations) and Computer Vision and Pattern Recognition (145 citations). Sander Münster has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Florian Niebling, Ferdinand Maiwald, Jörg Rainer Noennig, Melissa Terras, M Hofmann, D. Schneider, Fabrizio Ivan Apollonio, Johan Oomen, Μαρίνος Ιωαννίδης and Fulvio Rinaudo. Their work appears in journals such as Applied Sciences, Built Heritage, Digital Scholarship in the Humanities, Journal on Computing and Cultural Heritage and Journal of Geovisualization and Spatial Analysis.

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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