Eun-Kyu Byun
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
- Advanced Data Storage Technologies
Papers in
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- Distributed and Parallel Computing Systems 10
- Advanced Data Storage Technologies 7
- Advanced Database Systems and Queries 1
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- Parallel Computing and Optimization Techniques 8
- Co-authors
- Jin‐Soo Kim (6 shared papers)Yang-Suk Kee (4 shared papers)Seungryoul Maeng (2 shared papers)Ewa Deelman (2 shared papers)Karan Vahi (2 shared papers)Hyeonsang Eom (5 shared papers)Jaehwan Lee (5 shared papers)Ewa Deelman (1 shared paper)
- Journals
- Journal of Parallel and Distributed Computing (2 papers)Future Generation Computer Systems (1 paper)Parallel Computing (1 paper)Journal of Grid Computing (1 paper)The Journal of Supercomputing (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Eun-Kyu Byun
13 papers receiving 293 citations
Peers
Comparison fields: 5 of 22
- Information Systems and Management 121
- Computer Networks and Communications 289
- Information Systems 278
- Hardware and Architecture 33
- Management Information Systems 13
Countries citing papers authored by Eun-Kyu Byun
This map shows the geographic impact of Eun-Kyu Byun'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 Eun-Kyu Byun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun-Kyu Byun more than expected).
Fields of papers citing papers by Eun-Kyu Byun
This network shows the impact of papers produced by Eun-Kyu Byun. 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 Eun-Kyu Byun. The network helps show where Eun-Kyu Byun may publish in the future.
Co-authors
The 25 scholars most cited alongside Eun-Kyu Byun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 199 | |
| 2 | 2011 | 50 | |
| 3 | 2020 | 13 | |
| 4 | 2008 | 12 | |
| 5 | 2005 | 11 | |
| 6 | 2007 | 7 | |
| 7 | 2021 | 6 | |
| 8 | 2008 | 3 | |
| 9 | 2016 | 3 | |
| 10 | 2008 | 3 | |
| 11 | 2022 | 2 | |
| 12 | A Conceptual Model of Ecological Observation Service Supporting Data Life Cycle | 2014 | 1 |
| 13 | 2021 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 0 | |
| 16 | 2017 | 0 |
About Eun-Kyu Byun
Eun-Kyu Byun is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Information Systems and Management and Health Information Management, having authored 16 papers that have together received 312 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (10 papers), Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (7 papers), Scientific Computing and Data Management (6 papers), Cloud Computing and Resource Management (4 papers), Innovation in Digital Healthcare Systems (2 papers), Technology and Data Analysis (2 papers) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Information Systems and Management (121 citations), Computer Networks and Communications (289 citations), Information Systems (278 citations), Hardware and Architecture (33 citations) and Management Information Systems (13 citations). Eun-Kyu Byun has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jin‐Soo Kim, Yang-Suk Kee, Seungryoul Maeng, Ewa Deelman, Karan Vahi, Hyeonsang Eom, Jaehwan Lee, Ewa Deelman, Gaurang Mehta and Glenn K. Lockwood. Their work appears in journals such as Journal of Parallel and Distributed Computing, Future Generation Computer Systems, Parallel Computing, Journal of Grid Computing and The Journal of Supercomputing.
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.