Gyeonghwan Kim
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Artificial Intelligence top 5%
- Human-Computer Interaction top 10%
- Signal Processing
- Co-authors
- Venu GovindarajuSargur N. SrihariSung‐Hoon KimSungchan OhDaekeun YouTaek‐Soo KimIfeoma NwoguYun Seok Nam
- Topics
- Handwritten Text Recognition Techniques (15 papers)Vehicle License Plate Recognition (13 papers)Advanced Vision and Imaging (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingPattern Recognition
- Partner nations
- South KoreaUnited States
In The Last Decade
Gyeonghwan Kim
30 papers receiving 550 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 553
- Media Technology 246
- Artificial Intelligence 213
- Human-Computer Interaction 41
- Signal Processing 30
Countries citing papers authored by Gyeonghwan Kim
This map shows the geographic impact of Gyeonghwan Kim'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 Gyeonghwan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyeonghwan Kim more than expected).
Fields of papers citing papers by Gyeonghwan Kim
This network shows the impact of papers produced by Gyeonghwan Kim. 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 Gyeonghwan Kim. The network helps show where Gyeonghwan Kim may publish in the future.
Co-authorship network of co-authors of Gyeonghwan Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Gyeonghwan Kim. A scholar is included among the top collaborators of Gyeonghwan Kim 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 Gyeonghwan Kim. Gyeonghwan Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 116 | |
| 12 | A System for Locating License-plate Area from Images Taken under Complex Conditions. | 2 |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 84 | |
| 16 | 194 | |
| 17 | 22 | |
| 18 | 5 | |
| 19 | 11 | |
| 20 | Recognition of offline handwritten words and its extension to phrase recognition | 9 |
About Gyeonghwan Kim
Gyeonghwan Kim is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 32 papers that have together received 626 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (15 papers), Vehicle License Plate Recognition (13 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Media Technology (246 citations), Computer Vision and Pattern Recognition (553 citations) and Human-Computer Interaction (41 citations). Gyeonghwan Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Venu Govindaraju, Sargur N. Srihari, Sung‐Hoon Kim, Sungchan Oh, Daekeun You, Taek‐Soo Kim, Ifeoma Nwogu, Yun Seok Nam, Yeonjoo Choi and Miyoung Shin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.
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.