Markus Eiglsperger
Impact in
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- Computational Geometry and Mesh Generation
- Software top 5%
- Model-Driven Software Engineering Techniques
Papers in
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- Data Visualization and Analytics 10
- Graph Theory and Algorithms 3
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- Computational Geometry and Mesh Generation 8
- Co-authors
- Michael Kaufmann (12 shared papers)Ulrik Brandes (2 shared papers)Michael Himsolt (1 shared paper)Michael S. Marshall (1 shared paper)Iván Herman (1 shared paper)Sándor P. Fekete (1 shared paper)Gunnar W. Klau (1 shared paper)Dorothea Wagner (1 shared paper)
- Journals
- Journal of Graph Algorithms and Applications (2 papers)Bioinformatics (1 paper)Information Visualization (1 paper)Lecture notes in computer science (7 papers)Mathematics and visualization (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Markus Eiglsperger
15 papers receiving 533 citations
Peers
Comparison fields: 5 of 78
- Computer Graphics and Computer-Aided Design 117
- Software 75
- Computer Vision and Pattern Recognition 270
- Signal Processing 59
- Information Systems 106
Countries citing papers authored by Markus Eiglsperger
This map shows the geographic impact of Markus Eiglsperger'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 Markus Eiglsperger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Eiglsperger more than expected).
Fields of papers citing papers by Markus Eiglsperger
This network shows the impact of papers produced by Markus Eiglsperger. 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 Markus Eiglsperger. The network helps show where Markus Eiglsperger may publish in the future.
Co-authors
The 17 scholars most cited alongside Markus Eiglsperger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 179 | |
| 2 | 2002 | 74 | |
| 3 | 2002 | 49 | |
| 4 | 2003 | 39 | |
| 5 | 2001 | 35 | |
| 6 | 2005 | 34 | |
| 7 | 2004 | 31 | |
| 8 | 2002 | 29 | |
| 9 | 2004 | 24 | |
| 10 | 2005 | 24 | |
| 11 | 2002 | 23 | |
| 12 | 2003 | 22 | |
| 13 | 2000 | 17 | |
| 14 | 2001 | 6 | |
| 15 | 2003 | 3 |
About Markus Eiglsperger
Markus Eiglsperger is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Information Systems and Software, having authored 15 papers that have together received 589 indexed citations. Recurring topics across this work include Data Visualization and Analytics (10 papers), Computational Geometry and Mesh Generation (8 papers), Data Management and Algorithms (4 papers), Model-Driven Software Engineering Techniques (3 papers), Graph Theory and Algorithms (3 papers), Geographic Information Systems Studies (2 papers), Software Engineering Research (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (117 citations), Software (75 citations), Computer Vision and Pattern Recognition (270 citations), Signal Processing (59 citations) and Information Systems (106 citations). Markus Eiglsperger has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Michael Kaufmann, Ulrik Brandes, Michael Himsolt, Michael S. Marshall, Iván Herman, Sándor P. Fekete, Gunnar W. Klau, Dorothea Wagner, Erich Bornberg‐Bauer and Hans‐Peter Lenhof. Their work appears in journals such as Journal of Graph Algorithms and Applications, Bioinformatics, Information Visualization, Lecture notes in computer science and Mathematics and visualization.
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.