Giljoo Nam
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Biomedical Engineering
- Media Technology top 5%
- Co-authors
- Min H. KimDiego GutiérrezDaniel S. JeonInchang ChoiJoo Ho LeeChenglei WuYaser SheikhShunsuke Saito
- Topics
- Computer Graphics and Visualization Techniques (10 papers)Advanced Vision and Imaging (9 papers)3D Shape Modeling and Analysis (6 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignAcoustics and UltrasonicsComputer Vision and Pattern Recognition
- Journals
- ACM Transactions on GraphicsNeural NetworksIEEE Transactions on Instrumentation and Measurement
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Giljoo Nam
18 papers receiving 464 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 345
- Computational Mechanics 191
- Computer Graphics and Computer-Aided Design 158
- Biomedical Engineering 110
- Media Technology 101
Countries citing papers authored by Giljoo Nam
This map shows the geographic impact of Giljoo Nam'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 Giljoo Nam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giljoo Nam more than expected).
Fields of papers citing papers by Giljoo Nam
This network shows the impact of papers produced by Giljoo Nam. 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 Giljoo Nam. The network helps show where Giljoo Nam may publish in the future.
Co-authorship network of co-authors of Giljoo Nam
This figure shows the co-authorship network connecting the top 25 collaborators of Giljoo Nam. A scholar is included among the top collaborators of Giljoo Nam 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 Giljoo Nam. Giljoo Nam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 33 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 13 | |
| 11 | 10 | |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 30 | |
| 15 | 81 | |
| 16 | 206 | |
| 17 | 35 | |
| 18 | 23 | |
| 19 | 9 | |
| 20 | 18 |
About Giljoo Nam
Giljoo Nam is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 20 papers that have together received 484 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (10 papers), Advanced Vision and Imaging (9 papers) and 3D Shape Modeling and Analysis (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (158 citations), Acoustics and Ultrasonics (17 citations) and Computer Vision and Pattern Recognition (345 citations). Giljoo Nam has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Min H. Kim, Diego Gutiérrez, Daniel S. Jeon, Inchang Choi, Joo Ho Lee, Chenglei Wu, Yaser Sheikh, Shunsuke Saito, Gabriel Schwartz and Hongzhi Wu. Their work appears in journals such as ACM Transactions on Graphics, Neural Networks and IEEE Transactions on Instrumentation and Measurement.
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.