Ignaz Rutter

1.4k citations
67 papers · 301 indexed · h-index 9

Ignaz Rutter

61 papers receiving 290 citations

Peers

Ignaz Rutter
Comparison fields: 5 of 52
  • Computer Graphics and Computer-Aided Design 135
  • Computational Theory and Mathematics 118
  • Geography, Planning and Development 33
  • Signal Processing 63
  • Computer Vision and Pattern Recognition 100
Replace Goos Kant with:
Goos Kant Netherlands
Emilio Di Giacomo Italy
Michael M. Hoffmann Switzerland
Rikio Onai Japan
Jean Flower United Kingdom
Nobuji Saito Japan
Francisco Botana Spain
Nikola Milosavljević United States
Ian Fischer United States
Giorgos Bouritsas United Kingdom
Ignaz Rutter relative to Goos Kant Netherlands Goos Kant's profile →
Citations per field
00.5×4.7×
Goos Kant · 1×
Citations per year

Countries citing papers authored by Ignaz Rutter

Since Specialization
Citations

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

Fields of papers citing papers by Ignaz Rutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20231
3 20231
4 20236
5 202022
6 20192
7 20189
8 20175
9 20163
10 201610
11 20165
12 20168
13 20155
14 201311
15 20126
16 20110
17
Sliding labels for dynamic point labeling
20115
18 201114
19 20101
20 20085

About Ignaz Rutter

Ignaz Rutter is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 67 papers that have together received 301 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (37 papers), Advanced Graph Theory Research (32 papers), Complexity and Algorithms in Graphs (15 papers), Digital Image Processing Techniques (13 papers), Optimization and Search Problems (10 papers), Data Management and Algorithms (10 papers), Graph Theory and Algorithms (9 papers) and Interconnection Networks and Systems (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (135 citations), Computational Theory and Mathematics (118 citations), Geography, Planning and Development (33 citations), Signal Processing (63 citations) and Computer Vision and Pattern Recognition (100 citations). Ignaz Rutter has collaborated with scholars based in Germany, Italy and Netherlands. Frequent co-authors include Thomas Bläsius, Martin Nöllenburg, Dorothea Wagner, Alexander Wolff, Maurizio Patrignani, Patrizio Angelini, Fabrizio Frati, Giuseppe Di Battista, Jan Kratochvı́l and Sebastian Lehmann. Their work appears in journals such as Journal of Graph Algorithms and Applications, ACM Transactions on Algorithms, Theoretical Computer Science, Algorithmica and Computational Geometry.

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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