Ignaz Rutter

121 papers receiving 788 citations

Peers

Ignaz Rutter
Comparison fields: 5 of 60
  • Computer Graphics and Computer-Aided Design 492
  • Computational Theory and Mathematics 406
  • Signal Processing 131
  • Computer Vision and Pattern Recognition 233
  • Geography, Planning and Development 42
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Ashim Garg United States
Emilio Di Giacomo Italy
Michael M. Hoffmann Switzerland
Goos Kant Netherlands
Kevin Wampler United States
Jean Flower United Kingdom
Phillip J. Barry United States
Frances Yao Hong Kong
Petr Slavı́k United States
Clifford Beshers United States
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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-authors

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

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201535
2 201134
3 201526
4 201326
5 202025
6 201024
7 201223
8 201021
9 201820
10 201720
11 201218
12 201616
13 201414
14 201614
15 201113
16 201213
17 201713
18 201312
19 200812
20 201512

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, Computer Networks and Communications and Signal Processing, having authored 137 papers that have together received 809 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (84 papers), Advanced Graph Theory Research (69 papers), Complexity and Algorithms in Graphs (32 papers), Digital Image Processing Techniques (21 papers), Optimization and Search Problems (17 papers), Data Management and Algorithms (14 papers), Graph Theory and Algorithms (11 papers) and Data Visualization and Analytics (10 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (492 citations), Computational Theory and Mathematics (406 citations), Signal Processing (131 citations), Computer Vision and Pattern Recognition (233 citations) and Geography, Planning and Development (42 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, Giuseppe Di Battista, Maurizio Patrignani, Patrizio Angelini, Jan Kratochvı́l, Fabrizio Frati and Vít Jelínek. Their work appears in journals such as Theoretical Computer Science, Journal of Graph Algorithms and Applications, Algorithmica, Lecture notes in computer science and ACM Transactions on Algorithms.

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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