Raphael Fuchs

606 citations
19 papers · 374 indexed · h-index 10

Impact in

Papers in

Raphael Fuchs

19 papers receiving 364 citations

Peers

Raphael Fuchs
Comparison fields: 5 of 59
  • Computer Graphics and Computer-Aided Design 160
  • Computer Vision and Pattern Recognition 225
  • Signal Processing 54
  • Computational Mechanics 99
  • Information Systems and Management 19
Replace H. Jänicke with:
H. Jänicke Germany
Carlos D. Correa United States
P. Amburn United States
Adriano Lopes Portugal
Koji Koyamada Japan
Benjamin Vrolijk Netherlands
Alexander Wiebel Germany
Florian Ferstl Germany
Will Usher United States
Tony McLoughlin United Kingdom
Raphael Fuchs relative to H. Jänicke Germany H. Jänicke's profile →
Citations per field
00.5×3.3×
H. Jänicke · 1×
Citations per year

Countries citing papers authored by Raphael Fuchs

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Fuchs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Raphael Fuchs, 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 Raphael Fuchs Line = papers co-authored together Raphael Fuchs links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2009102
2 201169
3 201234
4 201133
5 200823
6 201223
7 201016
8 201311
9
Delocalized Unsteady Vortex Region Detectors.
200810
10 201210
11 20128
12 20098
13 20097
14 20116
15 20125
16 20104
17 20103
18 20111
19 20111

About Raphael Fuchs

Raphael Fuchs is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 19 papers that have together received 374 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (11 papers), Data Visualization and Analytics (7 papers), Fluid Dynamics and Turbulent Flows (3 papers), Advanced Vision and Imaging (3 papers), Computational Geometry and Mesh Generation (2 papers), Time Series Analysis and Forecasting (2 papers), Quantum chaos and dynamical systems (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (160 citations), Computer Vision and Pattern Recognition (225 citations), Signal Processing (54 citations), Computational Mechanics (99 citations) and Information Systems and Management (19 citations). Raphael Fuchs has collaborated with scholars based in Switzerland, Austria and Norway. Frequent co-authors include Helwig Hauser, Ronald Peikert, Günter Blöschl, Jürgen Waser, Krešimir Matković, Filip Sadlo, Alexander Kühn, Holger Theisel, Eduard Gröller and Jérôme Waser. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Computerized Medical Imaging and Graphics, Vision Modeling and Visualization and Eurographics.

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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