Jinman Kim
- Oncology top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Epidemiology
- Radiology, Nuclear Medicine and Imaging
- Topics
- Medical Imaging Techniques and Applications (4 papers)Medical Image Segmentation Techniques (4 papers)Cutaneous Melanoma Detection and Management (4 papers)
In The Last Decade
Jinman Kim
10 papers receiving 471 citations
Peers
Comparison fields: 5 of 62
- Oncology 312
- Artificial Intelligence 270
- Computer Vision and Pattern Recognition 124
- Epidemiology 117
- Radiology, Nuclear Medicine and Imaging 109
Countries citing papers authored by Jinman Kim
This map shows the geographic impact of Jinman 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 Jinman Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinman Kim more than expected).
Fields of papers citing papers by Jinman Kim
This network shows the impact of papers produced by Jinman 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 Jinman Kim. The network helps show where Jinman Kim may publish in the future.
Co-authorship network of co-authors of Jinman Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jinman Kim. A scholar is included among the top collaborators of Jinman 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 Jinman Kim. Jinman 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 | 0 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 110 | |
| 8 | 234 | |
| 9 | 43 | |
| 10 | 43 | |
| 11 | 16 | |
| 12 | 6 |
About Jinman Kim
Jinman Kim is a scholar working on Computer Vision and Pattern Recognition, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 483 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Medical Image Segmentation Techniques (4 papers) and Cutaneous Melanoma Detection and Management (4 papers). The work is most often cited by research in Oncology (312 citations), Artificial Intelligence (270 citations) and Computer Vision and Pattern Recognition (124 citations). Jinman Kim has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include Dagan Feng, Lei Bi, Euijoon Ahn, Michael Fulham, Ashnil Kumar, Changyang Li, Weidong Cai, Yang Song, Mingyuan Meng and Bingxin Gu. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Frontiers in Oncology.
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.