Markus Eiglsperger
Impact in
- Software top 10%
- Model-Driven Software Engineering Techniques
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- Computational Geometry and Mesh Generation
Papers in
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- Data Visualization and Analytics 5
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- Software Engineering Research 2
- Co-authors
- Michael Kaufmann (6 shared papers)Oliver Kohlbacher (1 shared paper)M. Kaufmann (1 shared paper)Erich Bornberg‐Bauer (1 shared paper)Hans‐Peter Lenhof (1 shared paper)Sebastian Leipert (1 shared paper)Petra Mutzel (1 shared paper)Michael Jünger (1 shared paper)
- Journals
- Journal of Graph Algorithms and Applications (2 papers)Information Visualization (1 paper)Bioinformatics (1 paper)Symposium on Discrete Algorithms (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Markus Eiglsperger
7 papers receiving 124 citations
Peers
Comparison fields: 5 of 33
- Software 26
- Computer Graphics and Computer-Aided Design 22
- Computer Vision and Pattern Recognition 74
- Information Systems 42
- Computational Theory and Mathematics 17
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 10 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 | 40 | |
| 2 | 2003 | 36 | |
| 3 | 2005 | 25 | |
| 4 | 2004 | 17 | |
| 5 | 2003 | 11 | |
| 6 | 2000 | 7 | |
| 7 | 2003 | 2 |
About Markus Eiglsperger
Markus Eiglsperger is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Graphics and Computer-Aided Design, Software and Molecular Biology, having authored 7 papers that have together received 138 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Computational Geometry and Mesh Generation (3 papers), Model-Driven Software Engineering Techniques (2 papers), Software Engineering Research (2 papers), Data Management and Algorithms (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Geographic Information Systems Studies (1 paper) and Advanced Numerical Analysis Techniques (1 paper). The work is most often cited by research in Software (26 citations), Computer Graphics and Computer-Aided Design (22 citations), Computer Vision and Pattern Recognition (74 citations), Information Systems (42 citations) and Computational Theory and Mathematics (17 citations). Markus Eiglsperger has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Michael Kaufmann, Oliver Kohlbacher, M. Kaufmann, Erich Bornberg‐Bauer, Hans‐Peter Lenhof, Sebastian Leipert, Petra Mutzel, Michael Jünger, Carsten Gutwenger and Karsten Klein. Their work appears in journals such as Journal of Graph Algorithms and Applications, Information Visualization, Bioinformatics and Symposium on Discrete 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.