Swen Campagna

445 total citations
9 papers, 313 citations indexed

About

Swen Campagna is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Networks and Communications. According to data from OpenAlex, Swen Campagna has authored 9 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 7 papers in Computer Graphics and Computer-Aided Design and 1 paper in Computer Networks and Communications. Recurrent topics in Swen Campagna's work include Computer Graphics and Visualization Techniques (7 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Numerical Analysis Techniques (4 papers). Swen Campagna is often cited by papers focused on Computer Graphics and Visualization Techniques (7 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Numerical Analysis Techniques (4 papers). Swen Campagna collaborates with scholars based in Germany. Swen Campagna's co-authors include Leif Kobbelt, Hans‐Peter Seidel, Hans‐Peter Seidel, Jens Vorsatz, Philipp Slusallek, Günther Greiner, Kai Hormann and Robert Schneider and has published in prestigious journals such as Computers & Graphics, The Visual Computer and Max Planck Institute for Plasma Physics.

In The Last Decade

Swen Campagna

7 papers receiving 269 citations

Peers

Swen Campagna
Comparison fields: 5 of 44
  • Computer Graphics and Computer-Aided Design 260
  • Computational Mechanics 231
  • Computer Vision and Pattern Recognition 89
  • Signal Processing 15
  • Mechanical Engineering 8
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Citations per field, relative to Swen Campagna
Swen Campagna · 1×
Citations per year, relative to Swen Campagna
Swen Campagna · 1×

Countries citing papers authored by Swen Campagna

Since Specialization
Citations

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

Fields of papers citing papers by Swen Campagna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swen Campagna

This figure shows the co-authorship network connecting the top 25 collaborators of Swen Campagna. A scholar is included among the top collaborators of Swen Campagna 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 Swen Campagna. Swen Campagna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 0
2
Hierarchical Parametrization of Triangulated Surfaces
26
3
Mesh Reduction and Interactive Multiresolution Modeling on Arbitrary Triangle Meshes
1
4 44
5 136
6 71
7 7
8 25
9
Improving Bézier Clipping and Chebyshev Boxing for Ray Tracing Parametric Surfaces
3

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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