Sehoon Kim
About
In The Last Decade
Sehoon Kim
7 papers receiving 164 citations
Hit Papers
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 78
- Electrical and Electronic Engineering 58
- Computer Vision and Pattern Recognition 55
- Computer Networks and Communications 28
- Hardware and Architecture 27
Countries citing papers authored by Sehoon Kim
This map shows the geographic impact of Sehoon 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 Sehoon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sehoon Kim more than expected).
Fields of papers citing papers by Sehoon Kim
This network shows the impact of papers produced by Sehoon 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 Sehoon Kim. The network helps show where Sehoon Kim may publish in the future.
Co-authorship network of co-authors of Sehoon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sehoon Kim. A scholar is included among the top collaborators of Sehoon 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 Sehoon Kim. Sehoon 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 | AI and Memory Wall breakdown → | 79 |
| 2 | 7 | |
| 3 | 8 | |
| 4 | 49 | |
| 5 | 22 | |
| 6 | 2 | |
| 7 | 5 |
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.