Silke Lang

542 citations
11 papers · 382 · h-index 6

Impact in

Papers in

Silke Lang

8 papers receiving 359 citations

Peers

Silke Lang
Comparison fields: 5 of 58
  • Computer Graphics and Computer-Aided Design 95
  • Human-Computer Interaction 148
  • Computer Vision and Pattern Recognition 288
  • Media Technology 64
  • Signal Processing 31
Replace Kai Strehlke with:
Kai Strehlke Switzerland
Christian Spagno Switzerland
Herman Towles United States
Jeremy Wendt United States
Steven Zhiying Zhou Singapore
Oleg Alexander United States
Lingyu Wei United States
Shishir Subramanyam Netherlands
Sebastian Friston United Kingdom
Rowel Atienza Philippines
Silke Lang relative to Kai Strehlke Switzerland 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

11 of 11 papers shown
#Work
1 2003200
2 2003128
3 201427
4 200712
5
IN:SHOP: Using Telepresence and Immersive VR for a New Shopping Experience
20036
6 20136
7 20052
8 20051
9 20060
10 20070
11 20040

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 11 papers that have together received 382 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (3 papers), Computer Graphics and Visualization Techniques (3 papers), Architecture and Computational Design (2 papers), Virtual Reality Applications and Impacts (2 papers), Augmented Reality Applications (2 papers), Advanced Optical Imaging Technologies (2 papers), Design Education and Practice (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (95 citations), Human-Computer Interaction (148 citations), Computer Vision and Pattern Recognition (288 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, Andreas Künz, Esther Koller-Meier, Martin Naef, Kai Strehlke, Tomáš Svoboda, Edouard Lamboray, Luc Van Gool and Christian Spagno. 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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