Kyoungwon Suh
About
In The Last Decade
Kyoungwon Suh
30 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 1.3k
- Electrical and Electronic Engineering 273
- Computer Vision and Pattern Recognition 269
- Artificial Intelligence 244
- Sociology and Political Science 190
Countries citing papers authored by Kyoungwon Suh
This map shows the geographic impact of Kyoungwon Suh'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 Kyoungwon Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyoungwon Suh more than expected).
Fields of papers citing papers by Kyoungwon Suh
This network shows the impact of papers produced by Kyoungwon Suh. 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 Kyoungwon Suh. The network helps show where Kyoungwon Suh may publish in the future.
Co-authorship network of co-authors of Kyoungwon Suh
This figure shows the co-authorship network connecting the top 25 collaborators of Kyoungwon Suh. A scholar is included among the top collaborators of Kyoungwon Suh 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 Kyoungwon Suh. Kyoungwon Suh 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 | Efficient Android Malware Detection Using API Rank and Machine Learning. | 8 |
| 4 | 33 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 51 | |
| 8 | 3 | |
| 9 | Watch Global, Cache Local: YouTube Network Traffic at a Campus Network - Measurements and Implications | 44 |
| 10 | 132 | |
| 11 | 10 | |
| 12 | 14 | |
| 13 | 20 | |
| 14 | 26 | |
| 15 | 70 | |
| 16 | 115 | |
| 17 | 21 | |
| 18 | 65 | |
| 19 | 73 | |
| 20 | 15 |
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.