Tack‐Don Han

1.1k citations
82 papers · 780 · h-index 14

Impact in

Papers in

Tack‐Don Han

72 papers receiving 697 citations

Peers

Tack‐Don Han
Comparison fields: 5 of 69
  • Computer Graphics and Computer-Aided Design 179
  • Hardware and Architecture 177
  • Human-Computer Interaction 125
  • Computer Vision and Pattern Recognition 338
  • Signal Processing 83
Replace Montek Singh with:
Montek Singh United States
Hsu‐Chun Yen Taiwan
Gilbert Bernstein United States
Antonio Gentile Italy
Mario Tokoro Japan
Cristina Perfecto Spain
Kyu Ho Park South Korea
Mian Dong United States
Yuesheng Zhu China
Miao Liu China
Tack‐Don Han relative to Montek Singh United States Montek Singh's profile →
Citations per field
00.5×1.5×2.4×
Montek Singh · 1×
Citations per year

Countries citing papers authored by Tack‐Don Han

Since Specialization
Citations

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

Fields of papers citing papers by Tack‐Don Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tack‐Don Han. 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 Tack‐Don Han. The network helps show where Tack‐Don Han may publish in the future.

Co-authors

The 25 scholars most cited alongside Tack‐Don Han, 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 Tack‐Don Han Line = papers co-authored together Tack‐Don Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987226
2 201357
3 201448
4 201135
5 200230
6 201123
7 201723
8 201621
9 200416
10 201415
11 201114
12 201414
13 201013
14 201213
15 201712
16
VLSI DESIGN OF HIGH-SPEED, LOW-AREA ADDITION CIRCUITRY.
198711
17 201610
18 20029
19 19988
20 20168

About Tack‐Don Han

Tack‐Don Han is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Networks and Communications, Hardware and Architecture and Computer Graphics and Computer-Aided Design, having authored 82 papers that have together received 780 indexed citations. Recurring topics across this work include Augmented Reality Applications (22 papers), Interactive and Immersive Displays (21 papers), Computer Graphics and Visualization Techniques (16 papers), Advanced Vision and Imaging (13 papers), Parallel Computing and Optimization Techniques (13 papers), Advanced Image and Video Retrieval Techniques (8 papers), Robotics and Sensor-Based Localization (7 papers) and Advanced Data Storage Technologies (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (179 citations), Hardware and Architecture (177 citations), Human-Computer Interaction (125 citations), Computer Vision and Pattern Recognition (338 citations) and Signal Processing (83 citations). Tack‐Don Han has collaborated with scholars based in South Korea, United States and Iran. Frequent co-authors include David A. Carlson, Jae‐Ho Nah, Shin‐Dug Kim, Sung-Bong Yang, Jinwoo Kim, Jeong‐Soo Park, Won‐Jong Lee, Dinesh Manocha, Cheol-Ho Jeong and Dongseok Kim. Their work appears in journals such as Journal of Systems Architecture, ACM Transactions on Graphics, IEEE Transactions on Computers, IEEE Transactions on Visualization and Computer Graphics and Virtual Reality.

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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