Jonghyuk Kim
- Electrical and Electronic Engineering
- Aerospace Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Soohwan KimSang-Hyop LeeJihun ChoiSuguru KawatoYasushi HojoKinam KimMuneki IkedaYoshimasa Komatsuzaki
- Topics
- Target Tracking and Data Fusion in Sensor Networks (5 papers)Autonomous Vehicle Technology and Safety (5 papers)Robotics and Sensor-Based Localization (5 papers)
- Partner nations
- South KoreaAustraliaJapan
In The Last Decade
Jonghyuk Kim
36 papers receiving 474 citations
Peers
Comparison fields: 5 of 110
- Electrical and Electronic Engineering 148
- Aerospace Engineering 81
- Computer Networks and Communications 77
- Artificial Intelligence 72
- Computer Vision and Pattern Recognition 62
Countries citing papers authored by Jonghyuk Kim
This map shows the geographic impact of Jonghyuk 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 Jonghyuk Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonghyuk Kim more than expected).
Fields of papers citing papers by Jonghyuk Kim
This network shows the impact of papers produced by Jonghyuk 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 Jonghyuk Kim. The network helps show where Jonghyuk Kim may publish in the future.
Co-authorship network of co-authors of Jonghyuk Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jonghyuk Kim. A scholar is included among the top collaborators of Jonghyuk 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 Jonghyuk Kim. Jonghyuk 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 | 2 | |
| 3 | 1 | |
| 4 | 25 | |
| 5 | 1 | |
| 6 | Innovative Growth Strategy in the US, Europe and Japan | 1 |
| 7 | 2 | |
| 8 | The Fourth Industrial Revolution in Major Countries and Its Implications of Korea: U.S., Germany and Japan Cases | 1 |
| 9 | 13 | |
| 10 | 27 | |
| 11 | 6 | |
| 12 | Recursive Bayesian Updates for Occupancy Mapping and Surface Reconstruction | 13 |
| 13 | 79 | |
| 14 | 6 | |
| 15 | A computationally efficient low-bandwidth method for very-large-scale mapping of road signs with multiple vehicles | 5 |
| 16 | 34 | |
| 17 | 2 | |
| 18 | 81 | |
| 19 | 17 | |
| 20 | 5 |
About Jonghyuk Kim
Jonghyuk Kim is a scholar working on Automotive Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 522 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (5 papers), Autonomous Vehicle Technology and Safety (5 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Behavioral Neuroscience (34 citations), Health Informatics (9 citations) and Automotive Engineering (53 citations). Jonghyuk Kim has collaborated with scholars based in South Korea, Australia and Japan. Frequent co-authors include Soohwan Kim, Sang-Hyop Lee, Jihun Choi, Suguru Kawato, Yasushi Hojo, Kinam Kim, Muneki Ikeda, Yoshimasa Komatsuzaki, Jaehun Jeong and Yusuke Hatanaka. Their work appears in journals such as Brain Research, Cerebral Cortex and SAE technical papers on CD-ROM/SAE technical paper series.
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.