Karsten Weihe

63 papers receiving 632 citations

Peers

Karsten Weihe
Comparison fields: 5 of 57
  • Transportation 128
  • Computational Theory and Mathematics 315
  • Industrial and Manufacturing Engineering 91
  • Computer Graphics and Computer-Aided Design 32
  • Computer Vision and Pattern Recognition 87
Replace Marc Nunkesser with:
Marc Nunkesser Switzerland
Pan Xu United States
Anna Moss Israel
Raphael C. S. Machado Brazil
Maria Minkoff United States
Stefan Leue Germany
Wenqing Lin China
Hartmut Noltemeier Germany
Arnaud Liefooghe France
Bala Kalyanasundaram United States
Karsten Weihe relative to Marc Nunkesser Switzerland Marc Nunkesser's profile →
Citations per field
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Citations per year

Countries citing papers authored by Karsten Weihe

Since Specialization
Citations

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

Fields of papers citing papers by Karsten Weihe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Karsten Weihe, 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 Karsten Weihe Line = papers co-authored together Karsten Weihe 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 2000127
2 200153
3 200653
4 199943
5 201136
6 199532
7 199732
8
Quantifying Semantics using Complex Network Analysis
201219
9 199516
10 201016
11 199315
12 199715
13 199714
14 199713
15 200112
16 199711
17 201611
18 200510
19 20129
20 20068

About Karsten Weihe

Karsten Weihe is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Industrial and Manufacturing Engineering, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 67 papers that have together received 686 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (24 papers), Computational Geometry and Mesh Generation (9 papers), Railway Systems and Energy Efficiency (7 papers), Complex Network Analysis Techniques (6 papers), Transportation Planning and Optimization (4 papers), Decision-Making and Behavioral Economics (4 papers), Graph Theory and Algorithms (4 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Transportation (128 citations), Computational Theory and Mathematics (315 citations), Industrial and Manufacturing Engineering (91 citations), Computer Graphics and Computer-Aided Design (32 citations) and Computer Vision and Pattern Recognition (87 citations). Karsten Weihe has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Matthias Müller‐Hannemann, Dorothea Wagner, Frank Schulz, M.‐Th. Hütt, Stefanie Roos, Thomas Willhalm, Chris Biemann, Jinseok Nam, Zheng Grace Ma and Ulrik Brandes. Their work appears in journals such as ACM SIGPLAN Notices, The European Physical Journal B, Lecture notes in computer science, SIAM Journal on Computing and Theoretical 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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