Daniel Meister

797 citations
48 papers · 314 · h-index 11

Impact in

Papers in

Daniel Meister

45 papers receiving 290 citations

Peers

Daniel Meister
Comparison fields: 5 of 70
  • Computer Graphics and Computer-Aided Design 70
  • Computational Theory and Mathematics 147
  • Discrete Mathematics and Combinatorics 28
  • Geometry and Topology 40
  • Computational Mathematics 2
Replace Kim Whittlesey with:
Kim Whittlesey United States
J Matousek Czechia
Asish Mukhopadhyay India
Thomas Yu United States
David Gay United States
Yuru Zou China
Dennis Amelunxen Germany
István Kovács Slovenia
Mohamed Elkadi France
Daniel Meister relative to Kim Whittlesey United States Kim Whittlesey's profile →
Citations per field
00.5×8.7×
Kim Whittlesey · 1×
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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202137
2 201725
3 200420
4 201819
5 201517
6 201114
7 200613
8 201113
9 200812
10 200912
11 201710
12 20179
13 20189
14 20169
15 20068
16 20157
17 20157
18 20156
19 20145
20 20115

About Daniel Meister

Daniel Meister is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 48 papers that have together received 314 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (21 papers), Complexity and Algorithms in Graphs (15 papers), Graph Labeling and Dimension Problems (10 papers), Computer Graphics and Visualization Techniques (10 papers), 3D Shape Modeling and Analysis (7 papers), Graph theory and applications (5 papers), Limits and Structures in Graph Theory (4 papers) and Interconnection Networks and Systems (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (70 citations), Computational Theory and Mathematics (147 citations), Discrete Mathematics and Combinatorics (28 citations), Geometry and Topology (40 citations) and Computational Mathematics (2 citations). Daniel Meister has collaborated with scholars based in Germany, Norway and Czechia. Frequent co-authors include Jiřı́ Bittner, Pinar Heggernes, Charis Papadopoulos, Michael Guthe, Michael J. Doyle, Carsten Benthin, Shinji Ogaki, Jon Peter Wehrlin, Thomas Maier and Dieter Kratsch. Their work appears in journals such as Discrete Applied Mathematics, Theoretical Computer Science, Computer Graphics Forum, Discrete Mathematics and Journal of Combinatorial Theory Series B.

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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