André Schulz

54 papers receiving 340 citations

Peers

André Schulz
Comparison fields: 5 of 54
  • Computer Graphics and Computer-Aided Design 238
  • Discrete Mathematics and Combinatorics 33
  • Computational Theory and Mathematics 141
  • Computer Vision and Pattern Recognition 133
  • Signal Processing 59
Replace Patrizio Angelini with:
Patrizio Angelini Italy
Perouz Taslakian Canada
G. Schrack Canada
Luca Weihs United States
Jian Shen China
Marko Boben Slovenia
P. Gupta India
Jacob Ström Sweden
Jim Lawson United States
Giorgos Bouritsas United Kingdom
André Schulz relative to Patrizio Angelini Italy Patrizio Angelini's profile →
Citations per field
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Patrizio Angelini · 1×
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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201238
2 200731
3 201029
4 202221
5 201019
6 201319
7 201315
8 201014
9 201413
10 201510
11 201010
12 20129
13 20138
14 20138
15 20087
16 20146
17 20186
18 20176
19 20156
20 20136

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 62 papers that have together received 365 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (40 papers), Advanced Graph Theory Research (18 papers), Digital Image Processing Techniques (13 papers), Advanced Numerical Analysis Techniques (9 papers), Data Visualization and Analytics (8 papers), Data Management and Algorithms (6 papers), Structural Analysis and Optimization (4 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (238 citations), Discrete Mathematics and Combinatorics (33 citations), Computational Theory and Mathematics (141 citations), Computer Vision and Pattern Recognition (133 citations) and Signal Processing (59 citations). André Schulz has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Kevin Buchin, Csaba D. Tóth, Adam Sheffer, Adrian Dumitrescu, Günter Rote, Alexander Wolff, Joachim Spoerhase, Wouter Meulemans, Martin Fink and Jan‐Henrik Haunert. Their work appears in journals such as Journal of Graph Algorithms and Applications, Computational Geometry, Graphs and Combinatorics, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

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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