Silke Lang

547 citations
13 papers · 438 · h-index 6

Impact in

Papers in

Silke Lang

11 papers receiving 412 citations

Peers

Silke Lang
Comparison fields: 5 of 60
  • Human-Computer Interaction 175
  • Computer Graphics and Computer-Aided Design 106
  • Computer Vision and Pattern Recognition 328
  • Media Technology 68
  • Geology 18
Replace Kai Strehlke with:
Kai Strehlke Switzerland
Christian Spagno Switzerland
Andrew C. Beers United States
Steven Zhiying Zhou Singapore
Shishir Subramanyam Netherlands
Lingyu Wei United States
Martin Böhme Germany
Lin Gui China
Alfred Schmitt Germany
Ramprasad Polana United States
Silke Lang relative to Kai Strehlke Switzerland Kai Strehlke's profile →
Citations per field
00.5×1.5×2×
Kai Strehlke · 1×
Citations per year

Countries citing papers authored by Silke Lang

Since Specialization
Citations

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

Fields of papers citing papers by Silke Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2003226
2 2003149
3 201430
4 200714
5
IN:SHOP: Using Telepresence and Immersive VR for a New Shopping Experience
20036
6 20136
7 20032
8 20052
9 20071
10 20051
11 20061
12 20040
13 20070

About Silke Lang

Silke Lang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Architecture and Media Technology, having authored 13 papers that have together received 438 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (3 papers), Virtual Reality Applications and Impacts (3 papers), Computer Graphics and Visualization Techniques (3 papers), Augmented Reality Applications (3 papers), Architecture and Computational Design (2 papers), 3D Modeling in Geospatial Applications (2 papers), Advanced Optical Imaging Technologies (2 papers) and Competitive and Knowledge Intelligence (1 paper). The work is most often cited by research in Human-Computer Interaction (175 citations), Computer Graphics and Computer-Aided Design (106 citations), Computer Vision and Pattern Recognition (328 citations), Media Technology (68 citations) and Geology (18 citations). Silke Lang has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Markus Groß, Andrew Vande Moere, Tomáš Svoboda, Andreas Künz, Kai Strehlke, Oliver Staadt, Christian Spagno, Luc Van Gool, Esther Koller-Meier and Stephan Würmlin. Their work appears in journals such as Information Visualization, ACM Transactions on Graphics, Psychopharmacology, Psychiatrische Praxis and International Journal of Architectural Computing.

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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