Jaerock Kwon
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Robotic Path Planning Algorithms 10
-
- Autonomous Vehicle Technology and Safety 16
- Co-authors
- Girma Tewolde (24 shared papers)Yoonsuck Choe (18 shared papers)Seok-Ju Lee (4 shared papers)David Mayerich (9 shared papers)Junho Hong (5 shared papers)John Keyser (7 shared papers)Aydin Zaboli (4 shared papers)Wencong Su (2 shared papers)
- Journals
- IEEE Access (7 papers)Sensors (2 papers)Energies (2 papers)Journal of Visualized Experiments (2 papers)BMC Neuroscience (1 paper)
- Partner nations
- United StatesSouth KoreaCzechia
In The Last Decade
Jaerock Kwon
59 papers receiving 734 citations
Peers
Comparison fields: 5 of 99
- Automotive Engineering 197
- Biophysics 53
- Computer Vision and Pattern Recognition 173
- Control and Systems Engineering 123
- Mechanical Engineering 194
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-authors
The 25 scholars most cited alongside Jaerock Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 235 | |
| 2 | 2022 | 42 | |
| 3 | 2014 | 38 | |
| 4 | 2023 | 32 | |
| 5 | 2011 | 29 | |
| 6 | 2015 | 26 | |
| 7 | 2019 | 24 | |
| 8 | 2018 | 21 | |
| 9 | 2016 | 21 | |
| 10 | 2011 | 20 | |
| 11 | 2018 | 20 | |
| 12 | 2015 | 20 | |
| 13 | 2014 | 19 | |
| 14 | 2009 | 18 | |
| 15 | 2014 | 18 | |
| 16 | 2022 | 13 | |
| 17 | Affordable Remote Health Monitoring System for the Elderly Using Smart Mobile Device | 2015 | 12 |
| 18 | 2008 | 11 | |
| 19 | 2015 | 11 | |
| 20 | 2011 | 11 |
About Jaerock Kwon
Jaerock Kwon is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence, having authored 67 papers that have together received 814 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (16 papers), Robotics and Sensor-Based Localization (11 papers), Robotic Path Planning Algorithms (10 papers), Cell Image Analysis Techniques (10 papers), Neural dynamics and brain function (10 papers), Advanced Fluorescence Microscopy Techniques (7 papers), Indoor and Outdoor Localization Technologies (5 papers) and Underwater Vehicles and Communication Systems (4 papers). The work is most often cited by research in Automotive Engineering (197 citations), Biophysics (53 citations), Computer Vision and Pattern Recognition (173 citations), Control and Systems Engineering (123 citations) and Mechanical Engineering (194 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, Junho Hong, John Keyser, Aydin Zaboli, Wencong Su, Louise C. Abbott and Mengqi Wang. Their work appears in journals such as IEEE Access, Sensors, Energies, Journal of Visualized Experiments and BMC Neuroscience.
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.