Shaden Smith
Impact in
- Computational Mathematics top 0.2%
- Tensor decomposition and applications
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
Papers in
-
- Tensor decomposition and applications 14
-
- Parallel Computing and Optimization Techniques 7
- Co-authors
- George Karypis (14 shared papers)Nicholas D. Sidiropoulos (2 shared papers)Niranjay Ravindran (2 shared papers)Samyam Rajbhandari (2 shared papers)Jeff Rasley (2 shared papers)Yuxiong He (2 shared papers)Olatunji Ruwase (2 shared papers)Jongsoo Park (3 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)Parallel Computing (1 paper)Proceedings of the VLDB Endowment (1 paper)2014 48th Asilomar Conference on Signals, Systems and Computers (1 paper)Maryland Shared Open Access Repository (USMAI Consortium) (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Shaden Smith
21 papers receiving 804 citations
Peers
Comparison fields: 5 of 57
- Computational Mathematics 358
- Hardware and Architecture 386
- Artificial Intelligence 356
- Computer Networks and Communications 198
- Computer Vision and Pattern Recognition 175
Countries citing papers authored by Shaden Smith
This map shows the geographic impact of Shaden Smith'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 Shaden Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaden Smith more than expected).
Fields of papers citing papers by Shaden Smith
This network shows the impact of papers produced by Shaden Smith. 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 Shaden Smith. The network helps show where Shaden Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaden Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 140 | |
| 2 | 2015 | 137 | |
| 3 | 2022 | 121 | |
| 4 | 2015 | 90 | |
| 5 | 2020 | 79 | |
| 6 | 2017 | 36 | |
| 7 | 2016 | 30 | |
| 8 | 2017 | 30 | |
| 9 | 2017 | 26 | |
| 10 | 2014 | 25 | |
| 11 | A Medium-Grained Algorithm for Distributed Sparse Tensor Factorization | 2016 | 24 |
| 12 | 2018 | 18 | |
| 13 | 2017 | 18 | |
| 14 | 2017 | 18 | |
| 15 | 2016 | 14 | |
| 16 | 2017 | 7 | |
| 17 | 2016 | 5 | |
| 18 | 2021 | 3 | |
| 19 | DMS: Distributed Sparse Tensor Factorization with Alternating Least Squares | 2015 | 3 |
| 20 | 2021 | 3 |
About Shaden Smith
Shaden Smith is a scholar working on Computational Mathematics, Hardware and Architecture, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 21 papers that have together received 829 indexed citations. Recurring topics across this work include Tensor decomposition and applications (14 papers), Parallel Computing and Optimization Techniques (7 papers), Graph Theory and Algorithms (4 papers), Algorithms and Data Compression (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Topic Modeling (2 papers), Advanced Graph Neural Networks (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Computational Mathematics (358 citations), Hardware and Architecture (386 citations), Artificial Intelligence (356 citations), Computer Networks and Communications (198 citations) and Computer Vision and Pattern Recognition (175 citations). Shaden Smith has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include George Karypis, Nicholas D. Sidiropoulos, Niranjay Ravindran, Samyam Rajbhandari, Jeff Rasley, Yuxiong He, Olatunji Ruwase, Jongsoo Park, Hongbo Rong and Hanchen Jin. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Parallel Computing, Proceedings of the VLDB Endowment, 2014 48th Asilomar Conference on Signals, Systems and Computers and Maryland Shared Open Access Repository (USMAI Consortium).
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.