Jaerock Kwon
- Electrical and Electronic Engineering
- Automotive Engineering top 5%
- Mechanical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Girma TewoldeYoonsuck ChoeSeok-Ju LeeDavid MayerichJohn KeyserJunho HongMengqi WangYoungki Kim
- Topics
- Autonomous Vehicle Technology and Safety (15 papers)Robotics and Sensor-Based Localization (10 papers)Cell Image Analysis Techniques (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- United StatesSouth KoreaCzechia
In The Last Decade
Jaerock Kwon
56 papers receiving 624 citations
Peers
Comparison fields: 5 of 90
- Electrical and Electronic Engineering 260
- Automotive Engineering 175
- Mechanical Engineering 173
- Computer Vision and Pattern Recognition 149
- Control and Systems Engineering 114
Countries citing papers authored by Jaerock Kwon
This map shows the geographic impact of Jaerock Kwon'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 Jaerock Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaerock Kwon more than expected).
Fields of papers citing papers by Jaerock Kwon
This network shows the impact of papers produced by Jaerock Kwon. 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 Jaerock Kwon. The network helps show where Jaerock Kwon may publish in the future.
Co-authorship network of co-authors of Jaerock Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Jaerock Kwon. A scholar is included among the top collaborators of Jaerock Kwon 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 Jaerock Kwon. Jaerock Kwon 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 | 3 | |
| 3 | 0 | |
| 4 | 27 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | Affordable Remote Health Monitoring System for the Elderly Using Smart Mobile Device | 10 |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 16 | |
| 13 | 206 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 16 | |
| 17 | 6 | |
| 18 | Acquisition and mining of the whole mouse brain microstructure | 2 |
| 19 | 5 | |
| 20 | Developing a Korean Standard Brain Atlas on the basis of Statistical and Probabilistic Approach and Visualization tool for Functional image analysis | 4 |
About Jaerock Kwon
Jaerock Kwon is a scholar working on Biophysics, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 704 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (15 papers), Robotics and Sensor-Based Localization (10 papers) and Cell Image Analysis Techniques (9 papers). The work is most often cited by research in Automotive Engineering (175 citations), Biophysics (47 citations) and Computer Vision and Pattern Recognition (149 citations). Jaerock Kwon has collaborated with scholars based in United States, South Korea and Czechia. Frequent co-authors include Girma Tewolde, Yoonsuck Choe, Seok-Ju Lee, David Mayerich, John Keyser, Junho Hong, Mengqi Wang, Youngki Kim, Wencong Su and Louise C. Abbott. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.