Jaeik Jo
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Social Psychology top 10%
- Cognitive Neuroscience
- Co-authors
- Jaihie KimKang Ryoung ParkSung Joo LeeIg-Jae KimHo Gi JungHeeseung ChoiHyunjun KimKar‐Ann Toh
- Topics
- Face recognition and analysis (6 papers)Gaze Tracking and Assistive Technology (5 papers)3D Shape Modeling and Analysis (4 papers)
- Cited by
- Human-Computer InteractionExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Journals
- Expert Systems with ApplicationsPattern RecognitionIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- South KoreaMalaysia
In The Last Decade
Jaeik Jo
11 papers receiving 370 citations
Peers
Comparison fields: 5 of 51
- Experimental and Cognitive Psychology 170
- Computer Vision and Pattern Recognition 155
- Human-Computer Interaction 145
- Social Psychology 119
- Cognitive Neuroscience 59
Countries citing papers authored by Jaeik Jo
This map shows the geographic impact of Jaeik Jo'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 Jaeik Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaeik Jo more than expected).
Fields of papers citing papers by Jaeik Jo
This network shows the impact of papers produced by Jaeik Jo. 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 Jaeik Jo. The network helps show where Jaeik Jo may publish in the future.
Co-authorship network of co-authors of Jaeik Jo
This figure shows the co-authorship network connecting the top 25 collaborators of Jaeik Jo. A scholar is included among the top collaborators of Jaeik Jo 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 Jaeik Jo. Jaeik Jo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | 23 | |
| 5 | 27 | |
| 6 | 2 | |
| 7 | 119 | |
| 8 | 22 | |
| 9 | 91 | |
| 10 | 90 | |
| 11 | An Edge-based Method to Classify Open and Closed Eyes for Monitoring Driver’s Drowsiness | 3 |
| 12 | Analysis of Self-Occlusion in Single View-based 3D Face Reconstruction | 2 |
About Jaeik Jo
Jaeik Jo is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Signal Processing, having authored 12 papers that have together received 395 indexed citations. Recurring topics across this work include Face recognition and analysis (6 papers), Gaze Tracking and Assistive Technology (5 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Human-Computer Interaction (145 citations), Experimental and Cognitive Psychology (170 citations) and Computer Vision and Pattern Recognition (155 citations). Jaeik Jo has collaborated with scholars based in South Korea and Malaysia. Frequent co-authors include Jaihie Kim, Kang Ryoung Park, Sung Joo Lee, Ig-Jae Kim, Ho Gi Jung, Heeseung Choi, Hyunjun Kim, Kar‐Ann Toh, Sung Joo Lee and Sanghak Lee. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems.
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.