Silke Lang

547 citations
12 papers · 387 · h-index 6

Impact in

Papers in

Silke Lang

9 papers receiving 363 citations

Peers

Silke Lang
Comparison fields: 5 of 58
  • Computer Graphics and Computer-Aided Design 96
  • Human-Computer Interaction 151
  • Computer Vision and Pattern Recognition 289
  • Media Technology 64
  • Signal Processing 31
Replace Kai Strehlke with:
Kai Strehlke United States
Christian Spagno Switzerland
Herman Towles United States
M. Masry United States
Andrew C. Beers United States
Shishir Subramanyam Netherlands
Steven Zhiying Zhou Singapore
Oleg Alexander United States
Lingyu Wei United States
Rowel Atienza Philippines
Silke Lang relative to Kai Strehlke United States Kai Strehlke's profile →
Citations per field
00.5×1.5×2.4×
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

12 of 12 papers shown
#Work
1 2003200
2 2003130
3 201428
4 200712
5
IN:SHOP: Using Telepresence and Immersive VR for a New Shopping Experience
20036
6 20136
7 20032
8 20052
9 20051
10 20040
11 20070
12 20060

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 12 papers that have together received 387 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 Design Education and Practice (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (96 citations), Human-Computer Interaction (151 citations), Computer Vision and Pattern Recognition (289 citations), Media Technology (64 citations) and Signal Processing (31 citations). Silke Lang has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Markus Groß, Andrew Vande Moere, Christian Spagno, Tomáš Svoboda, Kai Strehlke, Stephan Würmlin, Esther Koller-Meier, Luc Van Gool, Oliver Staadt and Andreas Künz. Their work appears in journals such as ACM Transactions on Graphics, Information Visualization, Psychopharmacology, International Journal of Architectural Computing and Psychiatrische Praxis.

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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