André Schulz

33 papers receiving 159 citations

Peers

André Schulz
Comparison fields: 5 of 45
  • Computer Graphics and Computer-Aided Design 96
  • Discrete Mathematics and Combinatorics 15
  • Computer Vision and Pattern Recognition 70
  • Computational Theory and Mathematics 53
  • Signal Processing 28
Replace Sigal Ar with:
Sigal Ar Israel
Panos Giannopoulos Germany
Paul J. Heffernan United States
Jim Lawson United States
Jeff Pool United States
Stéphane Ubéda France
K. Vaidyanathan United States
Shih-Yang Su Taiwan
Gordon W. Braudaway United States
Jean-François Delaigle Belgium
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Citations per field
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Citations per year

Countries citing papers authored by André Schulz

Since Specialization
Citations

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

Fields of papers citing papers by André Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside André Schulz, 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 André Schulz Line = papers co-authored together André Schulz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201234
2 202218
3 201018
4 201314
5 20139
6 20107
7 20136
8 20136
9 20145
10 20085
11 20154
12 20114
13
A Pointed Delaunay Pseudo-Triangulation of a Simple Polygon
20054
14
The Existence of a Pseudo-triangulation in a given Geometric Graph
20064
15 20113
16 20223
17 20073
18
New results on Pseudo-triangulations with low vertex degree.
20052
19 20122
20 20182

About André Schulz

André Schulz is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Computational Mechanics and Signal Processing, having authored 39 papers that have together received 172 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (24 papers), Advanced Graph Theory Research (10 papers), Advanced Numerical Analysis Techniques (7 papers), Digital Image Processing Techniques (6 papers), Data Management and Algorithms (5 papers), Data Visualization and Analytics (4 papers), Manufacturing Process and Optimization (3 papers) and Structural Analysis and Optimization (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (96 citations), Discrete Mathematics and Combinatorics (15 citations), Computer Vision and Pattern Recognition (70 citations), Computational Theory and Mathematics (53 citations) and Signal Processing (28 citations). André Schulz has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Csaba D. Tóth, Günter Rote, Adam Sheffer, Adrian Dumitrescu, Jan‐Henrik Haunert, Martin Fink, Alexander Wolff, Joachim Spoerhase, Rastislav Bodík and Oksana Arnold. Their work appears in journals such as Journal of Graph Algorithms and Applications, Computational Geometry, IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and Graphs and Combinatorics.

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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