Ig-Jae Kim
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Co-authors
- Sang Chul AhnHyoung-Gon KimHeeseung ChoiChris SchmandtJaewoo ChungJaihie KimJaeik JoKwanghoon Sohn
- Topics
- Face recognition and analysis (15 papers)Advanced Vision and Imaging (15 papers)Video Surveillance and Tracking Methods (14 papers)
- Partner nations
- South KoreaIndiaUnited States
In The Last Decade
Ig-Jae Kim
76 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 782
- Electrical and Electronic Engineering 383
- Artificial Intelligence 281
- Signal Processing 260
- Computer Networks and Communications 170
Countries citing papers authored by Ig-Jae Kim
This map shows the geographic impact of Ig-Jae 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 Ig-Jae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ig-Jae Kim more than expected).
Fields of papers citing papers by Ig-Jae Kim
This network shows the impact of papers produced by Ig-Jae 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 Ig-Jae Kim. The network helps show where Ig-Jae Kim may publish in the future.
Co-authorship network of co-authors of Ig-Jae Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Ig-Jae Kim. A scholar is included among the top collaborators of Ig-Jae 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 Ig-Jae Kim. Ig-Jae 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 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 15 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 32 | |
| 10 | 12 | |
| 11 | 43 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 29 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | Introduction to augmented reality and its applications. | 1 |
| 19 | Automatic ADL Classification Using 3 Axial Accelerometers and RFID Sensor | 1 |
| 20 | 2 |
About Ig-Jae Kim
Ig-Jae Kim is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 84 papers that have together received 1.5k indexed citations. Recurring topics across this work include Face recognition and analysis (15 papers), Advanced Vision and Imaging (15 papers) and Video Surveillance and Tracking Methods (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (782 citations), Human-Computer Interaction (137 citations) and Signal Processing (260 citations). Ig-Jae Kim has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Sang Chul Ahn, Hyoung-Gon Kim, Heeseung Choi, Chris Schmandt, Jaewoo Chung, Jaihie Kim, Jaeik Jo, Kwanghoon Sohn, Kang Ryoung Park and Junghyun Cho. Their work appears in journals such as Scientific Reports, IEEE Transactions on Image Processing and Expert Systems with Applications.
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.