Sander Münster

68 papers receiving 590 citations

Sander Münster's Hit Papers

Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe 2024 · 34 citations
340+1Years since publication102030

Peers

Sander Münster
Comparison fields: 5 of 82
  • Geology 377
  • Space and Planetary Science 84
  • Conservation 165
  • Museology 71
  • Computer Vision and Pattern Recognition 238
Replace Ramona Quattrini with:
Ramona Quattrini Italy
Paolo Clini Italy
Mario Santana Quintero Canada
Sorin Hermon Cyprus
Franco Niccolucci Italy
Paul Reilly United Kingdom
Hafizur Rahaman Australia
Bruno Fanini Italy
Sarah Kenderdine Australia
Daniele Ferdani Italy
Sander Münster relative to Ramona Quattrini Italy Ramona Quattrini's profile →
Citations per field
00.5×1.7×
Ramona Quattrini · 1×
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 25 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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201768
2 201739
3
Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe
Hit paper breakdown →
202434
4 201932
5 201327
6 201926
7 201823
8 201822
9 201922
10 201919
11 202115
12 202415
13 201614
14 201714
15 201614
16 201713
17 201813
18 201813
19 202013
20 201513

About Sander Münster

Sander Münster is a scholar working on Geology, Computer Vision and Pattern Recognition, Conservation, Space and Planetary Science and Literature and Literary Theory, having authored 73 papers that have together received 659 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (42 papers), Image Processing and 3D Reconstruction (14 papers), Digital Humanities and Scholarship (10 papers), Archaeological Research and Protection (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Conservation Techniques and Studies (9 papers), Museums and Cultural Heritage (8 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Geology (377 citations), Space and Planetary Science (84 citations), Conservation (165 citations), Museology (71 citations) and Computer Vision and Pattern Recognition (238 citations). Sander Münster has collaborated with scholars based in Germany, Italy and Cyprus. Frequent co-authors include Ferdinand Maiwald, Florian Niebling, Jörg Rainer Noennig, M Hofmann, Melissa Terras, D. Schneider, Μαρίνος Ιωαννίδης, Han van der Meer, Fabrizio Ivan Apollonio and Antoine Isaac. Their work appears in journals such as Applied Sciences, Lecture notes in computer science, Journal on Computing and Cultural Heritage, Built Heritage and International Journal on Digital Libraries.

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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