Sun I. Kim
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Psychiatry and Mental health top 5%
- Computer Vision and Pattern Recognition top 10%
- Physiology
- Co-authors
- Alan C. EvansYasser Ad-Dab’baghVivek Kumar SinghDavid MacDonaldJason P. LerchJune Sic KimJun Ki LeeIn Young Kim
- Topics
- Functional Brain Connectivity Studies (6 papers)Medical Image Segmentation Techniques (4 papers)Virtual Reality Applications and Impacts (4 papers)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Sun I. Kim
17 papers receiving 953 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Cognitive Neuroscience 570
- Radiology, Nuclear Medicine and Imaging 398
- Psychiatry and Mental health 248
- Computer Vision and Pattern Recognition 111
- Physiology 78
Countries citing papers authored by Sun I. Kim
This map shows the geographic impact of Sun I. 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 Sun I. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun I. Kim more than expected).
Fields of papers citing papers by Sun I. Kim
This network shows the impact of papers produced by Sun I. 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 Sun I. Kim. The network helps show where Sun I. Kim may publish in the future.
Co-authorship network of co-authors of Sun I. Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sun I. Kim. A scholar is included among the top collaborators of Sun I. 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 Sun I. Kim. Sun I. 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 | 3 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | Virtual reality applications for patients with schizophrenia | 10 |
| 6 | 81 | |
| 7 | 11 | |
| 8 | 21 | |
| 9 | Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classificationbreakdown → | 680 |
| 10 | 1 | |
| 11 | 51 | |
| 12 | 20 | |
| 13 | 0 | |
| 14 | 24 | |
| 15 | 4 | |
| 16 | 32 | |
| 17 | 5 | |
| 18 | Detection of epileptiform activities in the EEG using neural network and expert system. | 20 |
About Sun I. Kim
Sun I. Kim is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 979 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Medical Image Segmentation Techniques (4 papers) and Virtual Reality Applications and Impacts (4 papers). The work is most often cited by research in Cognitive Neuroscience (570 citations), Radiology, Nuclear Medicine and Imaging (398 citations) and Psychiatry and Mental health (248 citations). Sun I. Kim has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Alan C. Evans, Yasser Ad-Dab’bagh, Vivek Kumar Singh, David MacDonald, Jason P. Lerch, June Sic Kim, Jun Ki Lee, In Young Kim, Jong‐Min Lee and Jun Soo Kwon. Their work appears in journals such as NeuroImage, Human Brain Mapping and Investigative Ophthalmology & Visual Science.
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.