Eun-Jin Im
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Computational Mathematics top 10%
Papers in
-
- Caching and Content Delivery 2
- Distributed and Parallel Computing Systems 2
- Interconnection Networks and Systems 2
-
- Parallel Computing and Optimization Techniques 3
- Co-authors
- Katherine Yelick (2 shared papers)Richard Vuduc (1 shared paper)Khaled Z. Ibrahim (2 shared papers)Leonid Oliker (2 shared papers)S. Ethier (2 shared papers)Samuel Williams (2 shared papers)Kamesh Madduri (2 shared papers)John Shalf (1 shared paper)
- Journals
- The International Journal of High Performance Computing Applications (1 paper)Parallel Computing (1 paper)Journal of Parallel and Distributed Computing (1 paper)PPSC (1 paper)eScholarship (California Digital Library) (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Eun-Jin Im
12 papers receiving 340 citations
Peers
Comparison fields: 5 of 35
- Hardware and Architecture 270
- Computational Mathematics 11
- Computer Networks and Communications 227
- Computational Theory and Mathematics 75
- Nuclear and High Energy Physics 31
Countries citing papers authored by Eun-Jin Im
This map shows the geographic impact of Eun-Jin Im'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-Jin Im with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun-Jin Im more than expected).
Fields of papers citing papers by Eun-Jin Im
This network shows the impact of papers produced by Eun-Jin Im. 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-Jin Im. The network helps show where Eun-Jin Im may publish in the future.
Co-authors
The 20 scholars most cited alongside Eun-Jin Im, 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 | 2004 | 232 | |
| 2 | Optimizing Sparse Matrix Vector Multiplication on SMP. | 1999 | 41 |
| 3 | 2011 | 32 | |
| 4 | 2011 | 25 | |
| 5 | 2011 | 8 | |
| 6 | Optimization of Sparse Matrix Kernels for Data Mining | 2000 | 6 |
| 7 | 2013 | 6 | |
| 8 | Model-Based Memory Hierarchy Optimizations for Sparse Matrices | 1998 | 5 |
| 9 | 2010 | 2 | |
| 10 | An Efficient Computation of Matrix Triple Products | 2006 | 1 |
| 11 | 2013 | 1 | |
| 12 | 2012 | 1 | |
| 13 | 2011 | 1 | |
| 14 | 2012 | 0 |
About Eun-Jin Im
Eun-Jin Im is a scholar working on Computer Networks and Communications, Hardware and Architecture, General Health Professions, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 14 papers that have together received 361 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Caching and Content Delivery (2 papers), Health, Medicine and Society (2 papers), Distributed and Parallel Computing Systems (2 papers), Particle accelerators and beam dynamics (2 papers), Aging, Elder Care, and Social Issues (2 papers), Hermeneutics and Narrative Identity (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Hardware and Architecture (270 citations), Computational Mathematics (11 citations), Computer Networks and Communications (227 citations), Computational Theory and Mathematics (75 citations) and Nuclear and High Energy Physics (31 citations). Eun-Jin Im has collaborated with scholars based in South Korea and United States. Frequent co-authors include Katherine Yelick, Richard Vuduc, Khaled Z. Ibrahim, Leonid Oliker, S. Ethier, Samuel Williams, Kamesh Madduri, John Shalf, MyungKeun Yoon and Youngman Kim. Their work appears in journals such as The International Journal of High Performance Computing Applications, Parallel Computing, Journal of Parallel and Distributed Computing, PPSC and eScholarship (California Digital Library).
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.