Jin Ryong Kim
- Cognitive Neuroscience top 5%
- Human-Computer Interaction top 1%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Co-authors
- Hyunjae GilSeungmoon ChoiInwook HwangTae‐Heon YangHanbit JinJeong‐Hoi KooHye Jin KimSanjay Rao
- Topics
- Tactile and Sensory Interactions (35 papers)Virtual Reality Applications and Impacts (19 papers)Interactive and Immersive Displays (19 papers)
- Journals
- Advanced Functional MaterialsIEEE AccessIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Jin Ryong Kim
48 papers receiving 665 citations
Peers
Comparison fields: 5 of 75
- Cognitive Neuroscience 397
- Human-Computer Interaction 291
- Mechanical Engineering 161
- Computer Vision and Pattern Recognition 124
- Biomedical Engineering 120
Countries citing papers authored by Jin Ryong Kim
This map shows the geographic impact of Jin Ryong 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 Jin Ryong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Ryong Kim more than expected).
Fields of papers citing papers by Jin Ryong Kim
This network shows the impact of papers produced by Jin Ryong 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 Jin Ryong Kim. The network helps show where Jin Ryong Kim may publish in the future.
Co-authorship network of co-authors of Jin Ryong Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Ryong Kim. A scholar is included among the top collaborators of Jin Ryong 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 Jin Ryong Kim. Jin Ryong 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 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 26 | |
| 15 | 3 | |
| 16 | 62 | |
| 17 | 43 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 12 |
About Jin Ryong Kim
Jin Ryong Kim is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Media Technology, having authored 50 papers that have together received 683 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (35 papers), Virtual Reality Applications and Impacts (19 papers) and Interactive and Immersive Displays (19 papers). The work is most often cited by research in Human-Computer Interaction (291 citations), Cognitive Neuroscience (397 citations) and Computer Vision and Pattern Recognition (124 citations). Jin Ryong Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Hyunjae Gil, Seungmoon Choi, Inwook Hwang, Tae‐Heon Yang, Hanbit Jin, Jeong‐Hoi Koo, Hye Jin Kim, Sanjay Rao, Ruben Torres and Marco Mellia. Their work appears in journals such as Advanced Functional Materials, IEEE Access and IEEE Transactions on Visualization and Computer Graphics.
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.