Seonyeob Kim
About
In The Last Decade
Seonyeob Kim
10 papers receiving 341 citations
Peers
Comparison fields: 5 of 37
- Fluid Flow and Transfer Processes 235
- Materials Chemistry 201
- Computational Mechanics 84
- Automotive Engineering 76
- Biomedical Engineering 72
Countries citing papers authored by Seonyeob Kim
This map shows the geographic impact of Seonyeob 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 Seonyeob Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seonyeob Kim more than expected).
Fields of papers citing papers by Seonyeob Kim
This network shows the impact of papers produced by Seonyeob 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 Seonyeob Kim. The network helps show where Seonyeob Kim may publish in the future.
Co-authorship network of co-authors of Seonyeob Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Seonyeob Kim. A scholar is included among the top collaborators of Seonyeob 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 Seonyeob Kim. Seonyeob 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 | 6 | |
| 5 | 11 | |
| 6 | 13 | |
| 7 | 36 | |
| 8 | 82 | |
| 9 | 28 | |
| 10 | 22 | |
| 11 | 143 |
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.