Daehoon Kim
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Nam Sung KimEenjun HwangJaehyuk HuhMohammad AlianSeungmin RhoJeongseob AhnJaehong KimJae-Gil Lee
- Topics
- Parallel Computing and Optimization Techniques (22 papers)Advanced Data Storage Technologies (16 papers)Cloud Computing and Resource Management (15 papers)
- Journals
- IEEE AccessIEEE Transactions on ComputersIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Daehoon Kim
45 papers receiving 442 citations
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 199
- Hardware and Architecture 177
- Information Systems 145
- Computer Vision and Pattern Recognition 117
- Electrical and Electronic Engineering 75
Countries citing papers authored by Daehoon Kim
This map shows the geographic impact of Daehoon 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 Daehoon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daehoon Kim more than expected).
Fields of papers citing papers by Daehoon Kim
This network shows the impact of papers produced by Daehoon 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 Daehoon Kim. The network helps show where Daehoon Kim may publish in the future.
Co-authorship network of co-authors of Daehoon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Daehoon Kim. A scholar is included among the top collaborators of Daehoon 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 Daehoon Kim. Daehoon 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | Detecting trend and bursty keywords using characteristics of Twitter stream data | 9 |
| 14 | 4 | |
| 15 | 29 | |
| 16 | 15 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 3 |
About Daehoon Kim
Daehoon Kim is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 52 papers that have together received 454 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (22 papers), Advanced Data Storage Technologies (16 papers) and Cloud Computing and Resource Management (15 papers). The work is most often cited by research in Hardware and Architecture (177 citations), Computer Networks and Communications (199 citations) and Information Systems (145 citations). Daehoon Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Nam Sung Kim, Eenjun Hwang, Jaehyuk Huh, Mohammad Alian, Seungmin Rho, Jeongseob Ahn, Jaehong Kim, Jae-Gil Lee, Hwanju Kim and Uichin Lee. Their work appears in journals such as IEEE Access, IEEE Transactions on Computers 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.