Raphael Fuchs

23 papers receiving 469 citations

Peers

Raphael Fuchs
Comparison fields: 5 of 67
  • Computer Graphics and Computer-Aided Design 198
  • Computer Vision and Pattern Recognition 257
  • Computational Mechanics 132
  • Statistical and Nonlinear Physics 68
  • Signal Processing 59
Replace H. Jänicke with:
H. Jänicke Germany
Jun Tao China
Mahsa Mirzargar United States
Jonathan Woodring United States
Adriano Lopes Portugal
Alexander Wiebel Germany
Benjamin Vrolijk Netherlands
Koji Koyamada Japan
David L. Kao United States
P. Amburn United States
Raphael Fuchs relative to H. Jänicke Germany H. Jänicke's profile →
Citations per field
00.5×2.6×
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 22 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

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009114
2 201180
3 201135
4 201235
5 201131
6 201025
7 200825
8 201224
9
Delocalized Unsteady Vortex Region Detectors.
200813
10 201213
11 201212
12 201211
13 201311
14 20099
15 20108
16 20117
17 20097
18 20116
19 20116
20 20125

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 23 papers that have together received 482 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (13 papers), Data Visualization and Analytics (7 papers), Quantum chaos and dynamical systems (4 papers), Fluid Dynamics and Turbulent Flows (4 papers), Advanced Vision and Imaging (3 papers), Fluid Dynamics Simulations and Interactions (2 papers), 3D Shape Modeling and Analysis (2 papers) and Computational Geometry and Mesh Generation (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (198 citations), Computer Vision and Pattern Recognition (257 citations), Computational Mechanics (132 citations), Statistical and Nonlinear Physics (68 citations) and Signal Processing (59 citations). Raphael Fuchs has collaborated with scholars based in Switzerland, Austria and Norway. Frequent co-authors include Helwig Hauser, Ronald Peikert, Holger Theisel, Günter Blöschl, Jürgen Waser, Krešimir Matković, Alexander Kühn, Filip Sadlo, M. Eduard Gröller and Eduard Gröller. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Computerized Medical Imaging and Graphics, Mathematics and visualization and Lecture notes in computer science.

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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