Deok-Hwa Kim
About
In The Last Decade
Deok-Hwa Kim
11 papers receiving 213 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 162
- Aerospace Engineering 150
- Geology 42
- Artificial Intelligence 38
- Electrical and Electronic Engineering 35
Countries citing papers authored by Deok-Hwa Kim
This map shows the geographic impact of Deok-Hwa 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 Deok-Hwa Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deok-Hwa Kim more than expected).
Fields of papers citing papers by Deok-Hwa Kim
This network shows the impact of papers produced by Deok-Hwa 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 Deok-Hwa Kim. The network helps show where Deok-Hwa Kim may publish in the future.
Co-authorship network of co-authors of Deok-Hwa Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Deok-Hwa Kim. A scholar is included among the top collaborators of Deok-Hwa 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 Deok-Hwa Kim. Deok-Hwa 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 | 4 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 18 | |
| 7 | 2 | |
| 8 | 137 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 24 | |
| 12 | 7 |
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.