Dongseop Kwon
- Computer Networks and Communications top 5%
- Molecular Biology
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Topics
- Data Management and Algorithms (14 papers)Advanced Database Systems and Queries (7 papers)Data Mining Algorithms and Applications (6 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Dongseop Kwon
30 papers receiving 500 citations
Peers
Comparison fields: 5 of 88
- Computer Networks and Communications 203
- Molecular Biology 168
- Signal Processing 140
- Artificial Intelligence 120
- Electrical and Electronic Engineering 98
Countries citing papers authored by Dongseop Kwon
This map shows the geographic impact of Dongseop Kwon'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 Dongseop Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongseop Kwon more than expected).
Fields of papers citing papers by Dongseop Kwon
This network shows the impact of papers produced by Dongseop Kwon. 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 Dongseop Kwon. The network helps show where Dongseop Kwon may publish in the future.
Co-authorship network of co-authors of Dongseop Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Dongseop Kwon. A scholar is included among the top collaborators of Dongseop Kwon 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 Dongseop Kwon. Dongseop Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 37 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 2 | |
| 7 | Interfacing sensors and virtual world health avatar application | 2 |
| 8 | 35 | |
| 9 | 6 | |
| 10 | Thermal-aware Duplicated Filter Cache for Improving Processor Reliability. | 1 |
| 11 | Validity and Reliability of Korean EQ-5D Valuation Study Using a Computer-assisted Standard Gamble Method | 3 |
| 12 | A Parallel Bulk Loading Method for $B^+$-Tree Using CUDA | 1 |
| 13 | 21 | |
| 14 | Gigabit Ethernet Based Substation | 7 |
| 15 | A Voronoi Diagram-Based Grid Structure for Efficient Nearest Neighbor Query Processing | 0 |
| 16 | 13 | |
| 17 | 121 | |
| 18 | Efficient Update Method for Indexing Locations of Moving Objects | 0 |
| 19 | 8 | |
| 20 | 9 |
About Dongseop Kwon
Dongseop Kwon is a scholar working on Signal Processing, Geography, Planning and Development and Computer Networks and Communications, having authored 34 papers that have together received 524 indexed citations. Recurring topics across this work include Data Management and Algorithms (14 papers), Advanced Database Systems and Queries (7 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Signal Processing (140 citations), Computer Networks and Communications (203 citations) and Sensory Systems (39 citations). Dongseop Kwon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sang-Jun Lee, Sukho Lee, Sangho Yi, Sun Kim, Soo-Yong Shin, Ju‐Hong Jeon, Insuk So, Rezarta Islamaj, Zhiyong Lu and Hong‐Gee Kim. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.
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.