Nak Hee Seong
- Hardware and Architecture top 1%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Information Systems top 10%
- Co-authors
- Hsien-Hsin S. LeeDong Hyuk WooDean L. LewisJude A. RiversVijayalakshmi SrinivasanYoung Duk KimJaehun JeongJae Song
- Topics
- Parallel Computing and Optimization Techniques (9 papers)Advanced Data Storage Technologies (6 papers)Interconnection Networks and Systems (5 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) SystemsIEEE MicroACM SIGARCH Computer Architecture News
- Partner nations
- United StatesSouth Korea
In The Last Decade
Nak Hee Seong
10 papers receiving 704 citations
Peers
Comparison fields: 5 of 24
- Hardware and Architecture 554
- Computer Networks and Communications 547
- Electrical and Electronic Engineering 451
- Materials Chemistry 58
- Information Systems 45
Countries citing papers authored by Nak Hee Seong
This map shows the geographic impact of Nak Hee Seong'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 Nak Hee Seong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nak Hee Seong more than expected).
Fields of papers citing papers by Nak Hee Seong
This network shows the impact of papers produced by Nak Hee Seong. 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 Nak Hee Seong. The network helps show where Nak Hee Seong may publish in the future.
Co-authorship network of co-authors of Nak Hee Seong
This figure shows the co-authorship network connecting the top 25 collaborators of Nak Hee Seong. A scholar is included among the top collaborators of Nak Hee Seong 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 Nak Hee Seong. Nak Hee Seong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 13 | |
| 3 | 77 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 158 | |
| 7 | 187 | |
| 8 | 203 | |
| 9 | 16 | |
| 10 | 45 |
About Nak Hee Seong
Nak Hee Seong is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 10 papers that have together received 730 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Advanced Data Storage Technologies (6 papers) and Interconnection Networks and Systems (5 papers). The work is most often cited by research in Hardware and Architecture (554 citations), Computer Networks and Communications (547 citations) and Electrical and Electronic Engineering (451 citations). Nak Hee Seong has collaborated with scholars based in United States and South Korea. Frequent co-authors include Hsien-Hsin S. Lee, Dong Hyuk Woo, Dean L. Lewis, Jude A. Rivers, Vijayalakshmi Srinivasan, Young Duk Kim, Jaehun Jeong, Jae Song and Jae‐Young Lee. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Micro and ACM SIGARCH Computer Architecture News.
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.