Hyoil Kim
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 5%
- Management Information Systems top 10%
- Signal Processing top 10%
- Computational Mechanics
- Co-authors
- Kang G. ShinChun‐Ting ChouSai Shankar N.Alexander W. MinJaehyuk ChoiChanghee JooNa‐Young ShinMingyan Liu
- Topics
- Cognitive Radio Networks and Spectrum Sensing (7 papers)Power Line Communications and Noise (5 papers)Wireless Communication Networks Research (4 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringManagement Information Systems
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Wireless CommunicationsIEEE Transactions on Mobile Computing
- Partner nations
- United StatesSouth Korea
In The Last Decade
Hyoil Kim
11 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 1.1k
- Electrical and Electronic Engineering 845
- Management Information Systems 82
- Signal Processing 52
- Computational Mechanics 48
Countries citing papers authored by Hyoil Kim
This map shows the geographic impact of Hyoil 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 Hyoil Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyoil Kim more than expected).
Fields of papers citing papers by Hyoil Kim
This network shows the impact of papers produced by Hyoil 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 Hyoil Kim. The network helps show where Hyoil Kim may publish in the future.
Co-authorship network of co-authors of Hyoil Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hyoil Kim. A scholar is included among the top collaborators of Hyoil 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 Hyoil Kim. Hyoil 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 | 3 | |
| 2 | 8 | |
| 3 | 121 | |
| 4 | 16 | |
| 5 | 14 | |
| 6 | 30 | |
| 7 | 27 | |
| 8 | 174 | |
| 9 | Low Duty-Cycled Wireless Sensor Networks: Connectivity and Opportunistic Routing | 3 |
| 10 | Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networksbreakdown → | 594 |
| 11 | 134 |
About Hyoil Kim
Hyoil Kim is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Management Information Systems, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (7 papers), Power Line Communications and Noise (5 papers) and Wireless Communication Networks Research (4 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Electrical and Electronic Engineering (845 citations) and Management Information Systems (82 citations). Hyoil Kim has collaborated with scholars based in United States and South Korea. Frequent co-authors include Kang G. Shin, Chun‐Ting Chou, Sai Shankar N., Alexander W. Min, Jaehyuk Choi, Changhee Joo, Na‐Young Shin, Mingyan Liu, Jinho Kim and Z. Morley Mao. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Wireless Communications and IEEE Transactions on Mobile Computing.
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.