Goos Kant

1.5k citations
21 papers · 451 indexed · h-index 11

Impact in

Papers in

Goos Kant

20 papers receiving 403 citations

Peers

Goos Kant
Comparison fields: 5 of 56
  • Computer Graphics and Computer-Aided Design 324
  • Computational Theory and Mathematics 174
  • Computer Vision and Pattern Recognition 194
  • Discrete Mathematics and Combinatorics 22
  • Industrial and Manufacturing Engineering 48
Replace Sandip Das with:
Sandip Das India
Emilio Di Giacomo Italy
Ignaz Rutter Germany
Jean Flower United Kingdom
Surendra Nahar United States
Youssef Saab United States
Chris Reade United Kingdom
Shoji Shinoda Japan
Edward P. F. Chan Canada
Ling Xiao China
Goos Kant relative to Sandip Das India Sandip Das's profile →
Citations per field
00.5×2.8×
Sandip Das · 1×
Citations per year

Countries citing papers authored by Goos Kant

Since Specialization
Citations

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

Fields of papers citing papers by Goos Kant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Goos Kant, 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 Goos Kant Line = papers co-authored together Goos Kant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 20142
4 200833
5 20022
6 199857
7 199711
8 199778
9
On an integer multicommodity flow problem from the airplane industry
19973
10 199719
11 199751
12 199715
13 19971
14 19967
15 199693
16
An O(n2) maximal planarization algorithm based on PQ-trees
199222
17
Drawing Planar Graphs Using the lmc-Ordering (Extended Abstract)
19922
18 199226
19
Linear planar augmentation algorithms for outerplanar graphs
19912
20
Strong colorings of graphs
19901

About Goos Kant

Goos Kant is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 21 papers that have together received 451 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (14 papers), Advanced Graph Theory Research (7 papers), Computer Graphics and Visualization Techniques (5 papers), VLSI and FPGA Design Techniques (4 papers), Data Visualization and Analytics (4 papers), Digital Image Processing Techniques (3 papers), Transportation and Mobility Innovations (3 papers) and Vehicle Routing Optimization Methods (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (324 citations), Computational Theory and Mathematics (174 citations), Computer Vision and Pattern Recognition (194 citations), Discrete Mathematics and Combinatorics (22 citations) and Industrial and Manufacturing Engineering (48 citations). Goos Kant has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Xin He, Thérèse Biedl, Marek Chrobák, Hans L. Bodlaender, Michael Kaufmann, Albert Wagelmans, Jan Van Leeuwen, Frans Cruijssen, René Peeters and Ilja van Beest. Their work appears in journals such as Algorithmica, Computational Geometry, European Journal of Social Psychology, Journal of Algorithms 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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