Hee-Kap Ahn

88 papers receiving 740 citations

Peers

Hee-Kap Ahn
Comparison fields: 5 of 89
  • Computer Graphics and Computer-Aided Design 280
  • Signal Processing 177
  • Industrial and Manufacturing Engineering 118
  • Geography, Planning and Development 56
  • Computer Vision and Pattern Recognition 194
Replace Karsten Weihe with:
Karsten Weihe Germany
Hartmut Noltemeier Germany
Binay Bhattacharya Canada
Ali Mohades Iran
Matthew J. Katz Israel
Thérèse Biedl Canada
Michael Laszlo United States
Martin Zachariasen Denmark
Adrian Dumitrescu United States
Tian Xia United States
Hee-Kap Ahn relative to Karsten Weihe Germany Karsten Weihe's profile →
Citations per field
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Karsten Weihe · 1×
Citations per year

Countries citing papers authored by Hee-Kap Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Hee-Kap Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee-Kap Ahn. 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 Hee-Kap Ahn. The network helps show where Hee-Kap Ahn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014103
2 200385
3 201250
4 202243
5 200241
6 200929
7
A survey on multidimensional access methods
200129
8 200118
9 200617
10 201316
11 200915
12 200515
13 201014
14 201013
15 202312
16 201012
17 201211
18 200311
19 200010
20
Convergent Bounds on the Euclidean Distance
20119

About Hee-Kap Ahn

Hee-Kap Ahn is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Signal Processing and Computer Networks and Communications, having authored 101 papers that have together received 772 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (76 papers), Optimization and Packing Problems (24 papers), Data Management and Algorithms (21 papers), Digital Image Processing Techniques (20 papers), Robotics and Sensor-Based Localization (16 papers), Robotic Path Planning Algorithms (12 papers), Optimization and Search Problems (10 papers) and Advanced Graph Theory Research (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (280 citations), Signal Processing (177 citations), Industrial and Manufacturing Engineering (118 citations), Geography, Planning and Development (56 citations) and Computer Vision and Pattern Recognition (194 citations). Hee-Kap Ahn has collaborated with scholars based in South Korea, Germany and Hong Kong. Frequent co-authors include Chan-Su Shin, Otfried Cheong, Siu-Wing Cheng, Yoon‐Ho Hwang, René van Oostrum, Mordecai J. Golin, Sang Won Bae, Bohyung Han, Seung-won Hwang and Antoine Vigneron. Their work appears in journals such as Computational Geometry, Theoretical Computer Science, Algorithmica, Lecture notes in computer science and Scientific Reports.

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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