Hyong S. Kim
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Hardware and Architecture top 5%
- Electrical and Electronic Engineering
- Co-authors
- Sihyung LeeKe WangTina WongPanita PongpaiboolFranck LeAndrew TurnerJiyeon KimSung-Min Rhee
- Topics
- Network Security and Intrusion Detection (18 papers)Software System Performance and Reliability (12 papers)Software-Defined Networks and 5G (10 papers)
- Journals
- Annals of the New York Academy of SciencesIEEE AccessIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- United StatesSouth KoreaPortugal
In The Last Decade
Hyong S. Kim
39 papers receiving 420 citations
Peers
Comparison fields: 5 of 62
- Computer Networks and Communications 329
- Information Systems 222
- Artificial Intelligence 97
- Hardware and Architecture 93
- Electrical and Electronic Engineering 46
Countries citing papers authored by Hyong S. Kim
This map shows the geographic impact of Hyong S. 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 Hyong S. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyong S. Kim more than expected).
Fields of papers citing papers by Hyong S. Kim
This network shows the impact of papers produced by Hyong S. 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 Hyong S. Kim. The network helps show where Hyong S. Kim may publish in the future.
Co-authorship network of co-authors of Hyong S. Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hyong S. Kim. A scholar is included among the top collaborators of Hyong S. 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 Hyong S. Kim. Hyong S. 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 | 21 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 23 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | Empirical virtual machine models for performance guarantees | 2 |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 18 | |
| 19 | 1 | |
| 20 | 8 |
About Hyong S. Kim
Hyong S. Kim is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 47 papers that have together received 439 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (18 papers), Software System Performance and Reliability (12 papers) and Software-Defined Networks and 5G (10 papers). The work is most often cited by research in Computer Networks and Communications (329 citations), Hardware and Architecture (93 citations) and Information Systems (222 citations). Hyong S. Kim has collaborated with scholars based in United States, South Korea and Portugal. Frequent co-authors include Sihyung Lee, Ke Wang, Tina Wong, Ke Wang, Panita Pongpaibool, Franck Le, Andrew Turner, Jiyeon Kim, Sung-Min Rhee and Joo Han Oh. Their work appears in journals such as Annals of the New York Academy of Sciences, IEEE Access and IEEE Transactions on Parallel and Distributed Systems.
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.