Roman Waupotitsch

13 papers receiving 256 citations

Peers

Roman Waupotitsch
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 157
  • Computer Graphics and Computer-Aided Design 85
  • Signal Processing 77
  • Computational Mechanics 46
  • Computational Theory and Mathematics 35
Replace Pedro J. de Rezende with:
Pedro J. de Rezende Brazil
Tycho Strijk Netherlands
Gregory M. Hunter United States
Jules Vleugels Netherlands
Wolfgang Mulzer Germany
Antoine Vigneron South Korea
Subir Kumar Ghosh India
Michael A. Bekos Germany
Menelaos I. Karavelas Greece
Matias Korman Japan
Roman Waupotitsch relative to Pedro J. de Rezende Brazil Pedro J. de Rezende's profile →
Citations per field
00.5×1.5×
Pedro J. de Rezende · 1×
Citations per year

Countries citing papers authored by Roman Waupotitsch

Since Specialization
Citations

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

Fields of papers citing papers by Roman Waupotitsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Waupotitsch

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Waupotitsch. A scholar is included among the top collaborators of Roman Waupotitsch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roman Waupotitsch. Roman Waupotitsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 10
2 10
3 15
4
Effects of illumination changes on the performance of geometrix FaceVision® 3D FRS
4
5 57
6 27
7 25
8 1
9 29
10 5
11 53
12 18
13 27

About Roman Waupotitsch

Roman Waupotitsch is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 281 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (5 papers), Face and Expression Recognition (3 papers) and Face recognition and analysis (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (85 citations), Computer Vision and Pattern Recognition (157 citations) and Signal Processing (77 citations). Roman Waupotitsch has collaborated with scholars based in United States and Austria. Frequent co-authors include Herbert Edelsbrunner, Gérard Medioni, Tiow Seng Tan, Alexandre R. J. François, Stephan Eidenbenz, James P. Smith, Lukáš Kroc, Stephen N. Elliott and Stephen Elliot. Their work appears in journals such as Image and Vision Computing, Computational Geometry and Journal of Symbolic Computation.

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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