Martin Kütz

26 papers receiving 131 citations

Peers

Martin Kütz
Comparison fields: 5 of 60
  • Artificial Intelligence 42
  • Computational Theory and Mathematics 33
  • Computer Networks and Communications 23
  • Applied Mathematics 19
  • Computer Graphics and Computer-Aided Design 14
Replace А. М. Елизаров with:
А. М. Елизаров Russia
Pascal Lezaud France
D. Fon-Der-Flaass Russia
Klaus Metsch Germany
Jean‐Marie Rolin Belgium
Anand Louis United States
Divesh Aggarwal Singapore
Geir Agnarsson United States
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Martin Kütz relative to А. М. Елизаров Russia А. М. Елизаров's profile →
Citations per field
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А. М. Елизаров · 1×
Citations per year

Countries citing papers authored by Martin Kütz

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kütz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kütz

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kütz. A scholar is included among the top collaborators of Martin Kütz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Kütz. Martin Kütz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 19
3 2
4 8
5
On the Locality of Extracting a 2-Manifold in R3
3
6 10
7
Deutsche Soldaten : eine Kultur- und Mentalitätsgeschichte
0
8 9
9 5
10 1
11
Reachability substitutes for planar digraphs
0
12 1
13 13
14 6
15
Fast smallest-enclosing-ball computation in high dimensions
0
16 1
17
Clausewitz y su entorno intelectual: Kant, Guibert, Fichte, Moltke, Schlieffen, Lenin
0
18 1
19 6
20 8

About Martin Kütz

Martin Kütz is a scholar working on Computational Mathematics, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 34 papers that have together received 145 indexed citations. Recurring topics across this work include Corporate Governance and Management (6 papers), Computational Geometry and Mesh Generation (5 papers) and Advanced Graph Theory Research (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (14 citations), Numerical Analysis (12 citations) and Computational Theory and Mathematics (33 citations). Martin Kütz has collaborated with scholars based in Germany, United States and Chile. Frequent co-authors include Irit Katriel, Manuel Bodirsky, Gerth Stølting Brodal, Berno J.E. Misgeld, Meena Mahajan, Pedro Fonseca, Xi Long, Steffen Leonhardt, Khaled Elbassioni and Stefan Funke. Their work appears in journals such as Artificial Intelligence, SIAM Journal on Numerical Analysis and SIAM Journal on Computing.

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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