S. W. Song
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Hardware and Architecture top 5%
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- H. T. KungEdson N. CáceresAlessandro RoncatoAlexandre FerreiraF. DehneMounir HamdiO. MenzilciogluAshish Kundu
- Topics
- Interconnection Networks and Systems (11 papers)Algorithms and Data Compression (11 papers)VLSI and FPGA Design Techniques (5 papers)
- Journals
- IEEE Transactions on Parallel and Distributed SystemsDiscrete Applied MathematicsAlgorithmica
- Partner nations
- BrazilUnited StatesFrance
In The Last Decade
S. W. Song
23 papers receiving 178 citations
Peers
Comparison fields: 5 of 30
- Computer Networks and Communications 100
- Artificial Intelligence 82
- Hardware and Architecture 81
- Computational Theory and Mathematics 40
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by S. W. Song
This map shows the geographic impact of S. W. Song'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 S. W. Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. W. Song more than expected).
Fields of papers citing papers by S. W. Song
This network shows the impact of papers produced by S. W. Song. 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 S. W. Song. The network helps show where S. W. Song may publish in the future.
Co-authorship network of co-authors of S. W. Song
This figure shows the co-authorship network connecting the top 25 collaborators of S. W. Song. A scholar is included among the top collaborators of S. W. Song 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 S. W. Song. S. W. Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 36 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | A highly configurable architecture for systolic arrays of powerful processors | 2 |
| 19 | 1 | |
| 20 | A systolic 2-D convolution chip | 34 |
About S. W. Song
S. W. Song is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 25 papers that have together received 201 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (11 papers), Algorithms and Data Compression (11 papers) and VLSI and FPGA Design Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (81 citations), Computer Networks and Communications (100 citations) and Artificial Intelligence (82 citations). S. W. Song has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include H. T. Kung, H. T. Kung, Edson N. Cáceres, Alessandro Roncato, Alexandre Ferreira, F. Dehne, Mounir Hamdi, O. Menzilcioglu, Ashish Kundu and Byungchul Tak. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Discrete Applied Mathematics and Algorithmica.
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.