Daniel Meister

815 citations
67 papers · 481 · h-index 12

Impact in

Papers in

Daniel Meister

64 papers receiving 445 citations

Peers

Daniel Meister
Comparison fields: 5 of 72
  • Computer Graphics and Computer-Aided Design 82
  • Computational Theory and Mathematics 298
  • Discrete Mathematics and Combinatorics 48
  • Geometry and Topology 71
  • Computer Networks and Communications 104
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Kim Whittlesey United States
F. Hurtado Spain
Gelasio Salazar Mexico
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Akira Maruoka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Meister

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Meister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Meister, 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 Daniel Meister Line = papers co-authored together Daniel Meister links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202141
2 200426
3 201726
4 201820
5 201519
6 201118
7 201518
8 201117
9 200817
10 201217
11 200916
12 200615
13 200811
14 200911
15 201710
16 201710
17 20169
18 20189
19 20059
20 20158

About Daniel Meister

Daniel Meister is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Computer Graphics and Computer-Aided Design, Discrete Mathematics and Combinatorics and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 481 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (38 papers), Complexity and Algorithms in Graphs (29 papers), Graph Labeling and Dimension Problems (16 papers), Computer Graphics and Visualization Techniques (10 papers), Interconnection Networks and Systems (8 papers), Graph theory and applications (7 papers), 3D Shape Modeling and Analysis (7 papers) and Limits and Structures in Graph Theory (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (82 citations), Computational Theory and Mathematics (298 citations), Discrete Mathematics and Combinatorics (48 citations), Geometry and Topology (71 citations) and Computer Networks and Communications (104 citations). Daniel Meister has collaborated with scholars based in Norway, Germany and Czechia. Frequent co-authors include Pinar Heggernes, Jiřı́ Bittner, Charis Papadopoulos, Dieter Kratsch, Pim van ’t Hof, Jan Arne Telle, Tınaz Ekim, Michael Guthe, Carsten Benthin and Shinji Ogaki. Their work appears in journals such as Discrete Applied Mathematics, Theoretical Computer Science, Computer Graphics Forum, Discrete Mathematics and Lecture notes in computer science.

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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