Seung-Jai Min
- Hardware and Architecture top 1%
- Computer Networks and Communications top 2%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Rudolf EigenmannSeyong LeeKatherine YelickCostin IancuSamuel P. MidkiffHansang BaeAyon BasumallikSoo‐Ik Chae
- Topics
- Parallel Computing and Optimization Techniques (10 papers)Distributed and Parallel Computing Systems (6 papers)Advanced Data Storage Technologies (3 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Seung-Jai Min
23 papers receiving 646 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Hardware and Architecture 504
- Computer Networks and Communications 496
- Information Systems 174
- Artificial Intelligence 106
- Computer Vision and Pattern Recognition 84
Countries citing papers authored by Seung-Jai Min
This map shows the geographic impact of Seung-Jai Min'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 Seung-Jai Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung-Jai Min more than expected).
Fields of papers citing papers by Seung-Jai Min
This network shows the impact of papers produced by Seung-Jai Min. 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 Seung-Jai Min. The network helps show where Seung-Jai Min may publish in the future.
Co-authorship network of co-authors of Seung-Jai Min
This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Jai Min. A scholar is included among the top collaborators of Seung-Jai Min 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 Seung-Jai Min. Seung-Jai Min is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 7 | |
| 3 | POMO: Policy Optimization with Multiple Optima for Reinforcement Learning | 1 |
| 4 | 5 | |
| 5 | 7 | |
| 6 | Hierarchical Work Stealing on Manycore Clusters | 53 |
| 7 | 18 | |
| 8 | 98 | |
| 9 | 74 | |
| 10 | OpenMP to GPGPUbreakdown → | 281 |
| 11 | 12 | |
| 12 | 26 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 17 | |
| 16 | 15 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | 3 |
About Seung-Jai Min
Seung-Jai Min is a scholar working on Hardware and Architecture, Computer Networks and Communications and Signal Processing, having authored 23 papers that have together received 684 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Distributed and Parallel Computing Systems (6 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Hardware and Architecture (504 citations), Computer Networks and Communications (496 citations) and Information Systems (174 citations). Seung-Jai Min has collaborated with scholars based in South Korea and United States. Frequent co-authors include Rudolf Eigenmann, Seyong Lee, Katherine Yelick, Costin Iancu, Samuel P. Midkiff, Hansang Bae, Ayon Basumallik, Soo‐Ik Chae, Youngjune Gwon and Jongwon Choi. Their work appears in journals such as Computer, ACM SIGPLAN Notices and IEEE Transactions on Consumer Electronics.
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.