Stefan Seipel

75 papers receiving 754 citations

Peers

Stefan Seipel
Comparison fields: 5 of 111
  • General Dentistry 27
  • Human-Computer Interaction 107
  • Complementary and Manual Therapy 35
  • Geography, Planning and Development 79
  • Computer Vision and Pattern Recognition 279
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Pei Dang China
A. M. Day United Kingdom
Sidonie Christophe France
Lukáš Heřman Czechia
Petr Kubíček Czechia
Christian Frueh United States
Carole Dulong United States
Rafael J. Segura Spain
Stéphane Donikian France
Mats Lind Sweden
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Citations per year

Countries citing papers authored by Stefan Seipel

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Seipel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefan Seipel, 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 Stefan Seipel Line = papers co-authored together Stefan Seipel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200267
2 200854
3 201842
4 201840
5 202137
6 201733
7 202131
8 202125
9 201525
10 202023
11 199823
12 202320
13 201219
14 201819
15 201818
16 200916
17 200616
18
Development of a Virtual Laboratory System for Science Education and the Study of Collaborative Action
200416
19 202315
20 201213

About Stefan Seipel

Stefan Seipel is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Geography, Planning and Development, Computer Graphics and Computer-Aided Design and Oral Surgery, having authored 82 papers that have together received 811 indexed citations. Recurring topics across this work include Data Visualization and Analytics (16 papers), Augmented Reality Applications (12 papers), Interactive and Immersive Displays (10 papers), Geographic Information Systems Studies (10 papers), Computer Graphics and Visualization Techniques (8 papers), Dental Radiography and Imaging (8 papers), 3D Surveying and Cultural Heritage (7 papers) and Remote Sensing and LiDAR Applications (7 papers). The work is most often cited by research in General Dentistry (27 citations), Human-Computer Interaction (107 citations), Complementary and Manual Therapy (35 citations), Geography, Planning and Development (79 citations) and Computer Vision and Pattern Recognition (279 citations). Stefan Seipel has collaborated with scholars based in Sweden, China and Hong Kong. Frequent co-authors include Mohammad Reza Aslani, Mats Lind, Marco Wiering, Fei Liu, Fei Liu, Mohammad Saadi Mesgari, Sabine Koch, Sven Blomqvist, Maria Engström and B Kordaß. Their work appears in journals such as Information Visualization, ISPRS International Journal of Geo-Information, Computer Methods and Programs in Biomedicine, Computers Environment and Urban Systems and Behaviour and Information Technology.

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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