Hyeon-Suk Na

431 total citations
27 papers, 205 citations indexed

About

Hyeon-Suk Na is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Hyeon-Suk Na has authored 27 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Graphics and Computer-Aided Design, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Hyeon-Suk Na's work include Computational Geometry and Mesh Generation (20 papers), Remote Sensing and LiDAR Applications (6 papers) and Point processes and geometric inequalities (6 papers). Hyeon-Suk Na is often cited by papers focused on Computational Geometry and Mesh Generation (20 papers), Remote Sensing and LiDAR Applications (6 papers) and Point processes and geometric inequalities (6 papers). Hyeon-Suk Na collaborates with scholars based in South Korea, United States and Hong Kong. Hyeon-Suk Na's co-authors include Mordecai J. Golin, Otfried Cheong, Antoine Vigneron, Xavier Goaoc, Peter Braß, Chan-Su Shin, Hazel Everett, Sylvain Lazard, Yajun Wang and Siu-Wing Cheng and has published in prestigious journals such as SIAM Journal on Computing, Theoretical Computer Science and Information Processing Letters.

In The Last Decade

Hyeon-Suk Na

22 papers receiving 191 citations

Peers

Hyeon-Suk Na
Comparison fields: 5 of 58
  • Computer Graphics and Computer-Aided Design 144
  • Computer Vision and Pattern Recognition 75
  • Signal Processing 46
  • Computational Mechanics 46
  • Environmental Engineering 26
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Citations per field, relative to Hyeon-Suk Na
Hyeon-Suk Na · 1×
Citations per year, relative to Hyeon-Suk Na
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Countries citing papers authored by Hyeon-Suk Na

Since Specialization
Citations

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

Fields of papers citing papers by Hyeon-Suk Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyeon-Suk Na. 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 Hyeon-Suk Na. The network helps show where Hyeon-Suk Na may publish in the future.

Co-authorship network of co-authors of Hyeon-Suk Na

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeon-Suk Na. A scholar is included among the top collaborators of Hyeon-Suk Na 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 Hyeon-Suk Na. Hyeon-Suk Na 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
# Work Indexed citations
1 1
2 1
3 1
4 1
5 14
6 5
7 1
8 5
9 1
10 6
11 12
12 13
13
On the Number of Maximal Free Line Segments Tangent to Arbitrary Three-dimensional Convex Polyhedra
0
14 24
15 10
16 44
17
On the Number of Lines Tangent to Four Convex Polyhedra
5
18 10
19 5
20
On the Average Complexity of 3D-Voronoi Diagrams of Random Points on Convex Polytopes.
8

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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