Markus Eiglsperger

791 citations
16 papers · 613 · h-index 14

Impact in

Papers in

Markus Eiglsperger

16 papers receiving 571 citations

Peers

Markus Eiglsperger
Comparison fields: 5 of 72
  • Computer Graphics and Computer-Aided Design 76
  • Software 81
  • Computer Vision and Pattern Recognition 225
  • Computational Theory and Mathematics 117
  • Information Systems 63
Replace K.-P. Vo with:
K.-P. Vo United States
Michael Himsolt Germany
Eleftheris Koutsofios United States
Shojiro Tagawa Japan
Eleftherios Koutsofios United States
Greg J. Badros United States
H. James Hoover Canada
Andrew Fish United Kingdom
Philip Bille Denmark
Edward L. Robertson United States
Markus Eiglsperger relative to K.-P. Vo United States K.-P. Vo's profile →
Citations per field
00.5×1.5×2.1×
K.-P. Vo · 1×
Citations per year

Countries citing papers authored by Markus Eiglsperger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 18 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.

Border = papers with Markus Eiglsperger Line = papers co-authored together Markus Eiglsperger links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2002180
2 200273
3 200247
4 200340
5 200138
6 200437
7 200531
8 200227
9 200525
10 200424
11
Graph Markup Language (GraphML)
200424
12 200322
13 200221
14 200015
15 20016
16 20033

About Markus Eiglsperger

Markus Eiglsperger is a scholar working on Computer Vision and Pattern Recognition, Software, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 16 papers that have together received 613 indexed citations. Recurring topics across this work include Data Visualization and Analytics (11 papers), Graph Theory and Algorithms (8 papers), Complexity and Algorithms in Graphs (6 papers), Model-Driven Software Engineering Techniques (5 papers), Computational Geometry and Mesh Generation (2 papers), Computer Graphics and Visualization Techniques (2 papers), Semantic Web and Ontologies (2 papers) and VLSI and FPGA Design Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (76 citations), Software (81 citations), Computer Vision and Pattern Recognition (225 citations), Computational Theory and Mathematics (117 citations) and Information Systems (63 citations). Markus Eiglsperger has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Michael Kaufmann, Ulrik Brandes, Iván Herman, Michael S. Marshall, Michael Himsolt, Sándor P. Fekete, Gunnar W. Klau, M. Kaufmann, Oliver Kohlbacher 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.

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