Tyler Smith
Impact in
- Computational Mathematics top 5%
- Tensor decomposition and applications
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 6
- Real-Time Systems Scheduling 1
-
- Advanced Data Storage Technologies 5
- Interconnection Networks and Systems 3
- Co-authors
- Francisco D. Igual (2 shared papers)Tze Meng Low (2 shared papers)Field G. Zee (4 shared papers)Robert A. Geijn (5 shared papers)Enrique S. Quintana–Ort́ı (1 shared paper)Mikhail Smelyanskiy (3 shared papers)Jeff R. Hammond (2 shared papers)Greg Henry (1 shared paper)
- Journals
- ACM Transactions on Mathematical Software (3 papers)IEEE Transactions on Signal Processing (1 paper)arXiv (Cornell University) (2 papers)Apress eBooks (1 paper)
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Tyler Smith
12 papers receiving 249 citations
Peers
Comparison fields: 5 of 37
- Computational Mathematics 21
- Hardware and Architecture 189
- Computer Networks and Communications 133
- Computer Vision and Pattern Recognition 48
- Artificial Intelligence 74
Countries citing papers authored by Tyler Smith
This map shows the geographic impact of Tyler 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 Tyler Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Smith more than expected).
Fields of papers citing papers by Tyler Smith
This network shows the impact of papers produced by Tyler 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 Tyler Smith. The network helps show where Tyler Smith may publish in the future.
Co-authors
The 23 scholars most cited alongside Tyler 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 87 | |
| 2 | 2014 | 75 | |
| 3 | 2016 | 51 | |
| 4 | 2016 | 18 | |
| 5 | 2017 | 11 | |
| 6 | 2020 | 8 | |
| 7 | 2018 | 5 | |
| 8 | Pushing the Bounds for Matrix-Matrix Multiplication. | 2017 | 1 |
| 9 | Compressive Sensing with Low Precision Data Representation: Theory and Applications | 2018 | 1 |
| 10 | Opportunities for Parallelism in Matrix Multiplication | 2014 | 1 |
| 11 | 2014 | 1 | |
| 12 | 2015 | 1 | |
| 13 | 2018 | 0 |
About Tyler Smith
Tyler Smith is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Computational Mechanics and Computational Theory and Mathematics, having authored 13 papers that have together received 260 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (5 papers), Interconnection Networks and Systems (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Numerical Methods and Algorithms (2 papers), Mobile and Web Applications (1 paper), Cloud Computing and Resource Management (1 paper) and Real-Time Systems Scheduling (1 paper). The work is most often cited by research in Computational Mathematics (21 citations), Hardware and Architecture (189 citations), Computer Networks and Communications (133 citations), Computer Vision and Pattern Recognition (48 citations) and Artificial Intelligence (74 citations). Tyler Smith has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Francisco D. Igual, Tze Meng Low, Field G. Zee, Robert A. Geijn, Enrique S. Quintana–Ort́ı, Mikhail Smelyanskiy, Jeff R. Hammond, Greg Henry, Jianyu Huang and Xianyi Zhang. Their work appears in journals such as ACM Transactions on Mathematical Software, IEEE Transactions on Signal Processing, arXiv (Cornell University) and Apress eBooks.
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.