Tyler Smith

484 total citations
13 papers, 260 citations indexed

About

Tyler Smith is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Tyler Smith has authored 13 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hardware and Architecture, 6 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Tyler Smith's work include Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (5 papers) and Sparse and Compressive Sensing Techniques (3 papers). Tyler Smith is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (5 papers) and Sparse and Compressive Sensing Techniques (3 papers). Tyler Smith collaborates with scholars based in United States, Switzerland and Austria. Tyler Smith's co-authors include Francisco D. Igual, Tze Meng Low, Field G. Zee, Robert A. Geijn, Enrique S. Quintana–Ort́ı, Mikhail Smelyanskiy, Jeff R. Hammond, Jianyu Huang, Greg Henry and Bryan Marker and has published in prestigious journals such as IEEE Transactions on Signal Processing, ACM Transactions on Mathematical Software and arXiv (Cornell University).

In The Last Decade

Tyler Smith

12 papers receiving 249 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tyler Smith United States 6 189 133 74 48 42 13 260
Jonathan Beaumont United States 7 202 1.1× 152 1.1× 87 1.2× 109 2.3× 85 2.0× 10 321
Kartik Hegde United States 3 147 0.8× 89 0.7× 77 1.0× 80 1.7× 64 1.5× 5 234
Mehdi Amini United States 5 198 1.0× 105 0.8× 124 1.7× 50 1.0× 56 1.3× 6 316
Kadir Akbudak Saudi Arabia 9 102 0.5× 94 0.7× 36 0.5× 34 0.7× 20 0.5× 15 177
Oleksandr Zinenko United States 6 256 1.4× 120 0.9× 132 1.8× 58 1.2× 63 1.5× 11 373
Justin Holewinski United States 6 226 1.2× 179 1.3× 48 0.6× 43 0.9× 30 0.7× 8 289
Naser Sedaghati United States 9 311 1.6× 258 1.9× 79 1.1× 59 1.2× 87 2.1× 11 394
Israt Nisa United States 9 189 1.0× 124 0.9× 124 1.7× 109 2.3× 28 0.7× 16 302
Philippe Tillet United States 5 84 0.4× 53 0.4× 55 0.7× 46 1.0× 21 0.5× 5 190
Tom Henretty United States 8 120 0.6× 88 0.7× 64 0.9× 19 0.4× 18 0.4× 15 187

Countries citing papers authored by Tyler Smith

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tyler Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler Smith. A scholar is included among the top collaborators of Tyler Smith 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 Tyler Smith. Tyler Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Gürel, Nezihe Merve, Kaan Kara, Tyler Smith, et al.. (2020). Compressive Sensing Using Iterative Hard Thresholding With Low Precision Data Representation: Theory and Applications. IEEE Transactions on Signal Processing. 68. 4268–4282. 8 indexed citations
2.
Gürel, Nezihe Merve, et al.. (2018). Compressive Sensing with Low Precision Data Representation: Theory and Applications. arXiv (Cornell University). 1 indexed citations
3.
Smith, Tyler, et al.. (2018). Fast Quantized Arithmetic on x86: Trading Compute for Data Movement. 349–354. 5 indexed citations
4.
5.
Smith, Tyler & Robert A. Geijn. (2017). Pushing the Bounds for Matrix-Matrix Multiplication.. arXiv (Cornell University). 1 indexed citations
6.
Zee, Field G. & Tyler Smith. (2017). Implementing High-performance Complex Matrix Multiplication via the 3m and 4m Methods. ACM Transactions on Mathematical Software. 44(1). 1–36. 11 indexed citations
7.
Low, Tze Meng, Francisco D. Igual, Tyler Smith, & Enrique S. Quintana–Ort́ı. (2016). Analytical Modeling Is Enough for High-Performance BLIS. ACM Transactions on Mathematical Software. 43(2). 1–18. 87 indexed citations
8.
Zee, Field G., Tyler Smith, Bryan Marker, et al.. (2016). The BLIS Framework. ACM Transactions on Mathematical Software. 42(2). 1–19. 51 indexed citations
9.
Huang, Jianyu, Tyler Smith, Greg Henry, & Robert A. Geijn. (2016). Strassen's Algorithm Reloaded. 690–701. 18 indexed citations
10.
Smith, Tyler, et al.. (2015). A Framework for Compositional Timing Analysis of Embedded Computer Systems. 1001–1004. 1 indexed citations
11.
Smith, Tyler, Robert A. Geijn, Mikhail Smelyanskiy, Jeff R. Hammond, & Field G. Zee. (2014). Opportunities for Parallelism in Matrix Multiplication. 1 indexed citations
12.
Jones, Brandon, et al.. (2014). HTML5 Game Development Insights. Apress eBooks. 1 indexed citations
13.
Smith, Tyler, Robert A. Geijn, Mikhail Smelyanskiy, Jeff R. Hammond, & Field G. Zee. (2014). Anatomy of High-Performance Many-Threaded Matrix Multiplication. 1049–1059. 75 indexed citations

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.

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