Jae‐Ho Nah
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Signal Processing top 10%
- Computational Mechanics
- Computer Networks and Communications
- Co-authors
- Tack‐Don HanJinwoo KimDinesh ManochaWon‐Jong LeeJeong‐Soo ParkDongseok KimHyun-Sang ParkJin‐Hong Park
- Topics
- Computer Graphics and Visualization Techniques (24 papers)Advanced Vision and Imaging (19 papers)Video Coding and Compression Technologies (7 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Jae‐Ho Nah
35 papers receiving 298 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 246
- Computer Graphics and Computer-Aided Design 212
- Signal Processing 71
- Computational Mechanics 49
- Computer Networks and Communications 45
Countries citing papers authored by Jae‐Ho Nah
This map shows the geographic impact of Jae‐Ho Nah'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 Jae‐Ho Nah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Ho Nah more than expected).
Fields of papers citing papers by Jae‐Ho Nah
This network shows the impact of papers produced by Jae‐Ho Nah. 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 Jae‐Ho Nah. The network helps show where Jae‐Ho Nah may publish in the future.
Co-authorship network of co-authors of Jae‐Ho Nah
This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Ho Nah. A scholar is included among the top collaborators of Jae‐Ho Nah 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 Jae‐Ho Nah. Jae‐Ho Nah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 14 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 19 | |
| 18 | 23 | |
| 19 | 6 | |
| 20 | A Shadow Culling Algorithm for Interactive Ray Tracing | 1 |
About Jae‐Ho Nah
Jae‐Ho Nah is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 38 papers that have together received 323 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (24 papers), Advanced Vision and Imaging (19 papers) and Video Coding and Compression Technologies (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (212 citations), Computer Vision and Pattern Recognition (246 citations) and Signal Processing (71 citations). Jae‐Ho Nah has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Tack‐Don Han, Jinwoo Kim, Dinesh Manocha, Won‐Jong Lee, Jeong‐Soo Park, Dongseok Kim, Hyun-Sang Park, Jin‐Hong Park, Cheol-Ho Jeong and Sung-Bong Yang. Their work appears in journals such as IEEE Access, Sensors and ACM Transactions on Graphics.
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.