Peter Damaschke

1.6k citations
64 papers · 557 · h-index 15

Impact in

Papers in

Peter Damaschke

57 papers receiving 521 citations

Peers

Peter Damaschke
Comparison fields: 5 of 49
  • Computational Theory and Mathematics 305
  • Discrete Mathematics and Combinatorics 51
  • Computer Graphics and Computer-Aided Design 33
  • Computer Networks and Communications 170
  • Infectious Diseases 75
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Citations per year

Countries citing papers authored by Peter Damaschke

Since Specialization
Citations

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

Fields of papers citing papers by Peter Damaschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Peter Damaschke, 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 Peter Damaschke Line = papers co-authored together Peter Damaschke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199038
2 200538
3 199034
4 199234
5 198927
6 200725
7 202025
8 199324
9 200023
10 201021
11 199819
12 201118
13 199516
14 199216
15 200315
16 199413
17
Induced subgraph isomorphism for cographs is NP-complete
199112
18 201410
19 199110
20 19949

About Peter Damaschke

Peter Damaschke is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Molecular Biology, Computer Networks and Communications and Infectious Diseases, having authored 64 papers that have together received 557 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (25 papers), Advanced biosensing and bioanalysis techniques (17 papers), Complexity and Algorithms in Graphs (16 papers), Machine Learning and Algorithms (15 papers), Optimization and Search Problems (12 papers), SARS-CoV-2 detection and testing (12 papers), Algorithms and Data Compression (10 papers) and Computational Geometry and Mesh Generation (7 papers). The work is most often cited by research in Computational Theory and Mathematics (305 citations), Discrete Mathematics and Combinatorics (51 citations), Computer Graphics and Computer-Aided Design (33 citations), Computer Networks and Communications (170 citations) and Infectious Diseases (75 citations). Peter Damaschke has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Dieter Kratsch, Azam Sheikh Muhammad, Haiko Müller, Sebastian Böcker, Jitender S. Deogun, George Steiner, Philippas Tsigas, Phuong Hoai Ha, Ferdinando Cicalese and Anna Lubiw. Their work appears in journals such as Discrete Applied Mathematics, Theoretical Computer Science, Discrete Mathematics, Algorithmica and Journal of Combinatorial Optimization.

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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