Jeffrey Young

415 total citations
45 papers, 173 citations indexed

About

Jeffrey Young is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Jeffrey Young has authored 45 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 25 papers in Hardware and Architecture and 12 papers in Information Systems. Recurrent topics in Jeffrey Young's work include Parallel Computing and Optimization Techniques (23 papers), Advanced Data Storage Technologies (20 papers) and Cloud Computing and Resource Management (12 papers). Jeffrey Young is often cited by papers focused on Parallel Computing and Optimization Techniques (23 papers), Advanced Data Storage Technologies (20 papers) and Cloud Computing and Resource Management (12 papers). Jeffrey Young collaborates with scholars based in United States, Germany and South Korea. Jeffrey Young's co-authors include Sudhakar Yalamanchili, Pierre Grosdidier, Kenneth R. Muske, Hyesoon Kim, Jason Riedy, Richard Vuduc, Thomas M. Conte, Greg Eisenhauer, Hanning Chen and Matthew Wolf and has published in prestigious journals such as Mathematics of Computation, Fertility and Sterility and Computers & Chemical Engineering.

In The Last Decade

Jeffrey Young

36 papers receiving 159 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Young United States 9 87 71 45 36 27 45 173
Hiroki Honda Japan 11 172 2.0× 159 2.2× 28 0.6× 31 0.9× 16 0.6× 37 239
Jose Maria Bermudo Mera Belgium 10 35 0.4× 42 0.6× 193 4.3× 78 2.2× 50 1.9× 18 252
Tanguy Pérennou France 7 168 1.9× 31 0.4× 55 1.2× 23 0.6× 19 0.7× 19 202
Colin Campbell United States 8 52 0.6× 32 0.5× 30 0.7× 36 1.0× 7 0.3× 12 193
Victor Fay Wolfe United States 9 189 2.2× 194 2.7× 34 0.8× 24 0.7× 19 0.7× 27 259
Srinivas Sridharan United States 8 122 1.4× 106 1.5× 28 0.6× 32 0.9× 24 0.9× 21 193
Adrià Armejach Spain 9 202 2.3× 220 3.1× 31 0.7× 23 0.6× 21 0.8× 38 286
Stefan Tillich Austria 7 76 0.9× 49 0.7× 127 2.8× 41 1.1× 72 2.7× 24 207
Naganand Doraswamy 2 130 1.5× 21 0.3× 76 1.7× 38 1.1× 17 0.6× 4 174
Keren Zhou United States 8 93 1.1× 118 1.7× 33 0.7× 34 0.9× 31 1.1× 22 177

Countries citing papers authored by Jeffrey Young

Since Specialization
Citations

This map shows the geographic impact of Jeffrey Young'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 Jeffrey Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Young more than expected).

Fields of papers citing papers by Jeffrey Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey Young. 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 Jeffrey Young. The network helps show where Jeffrey Young may publish in the future.

Co-authorship network of co-authors of Jeffrey Young

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

All Works

20 of 20 papers shown
1.
2.
Sheridan, Kevin J., et al.. (2024). A Workflow for the Synthesis of Irregular Memory Access Microbenchmarks. 219–234.
3.
4.
Young, Jeffrey, et al.. (2024). Understanding Performance Implications of LLM Inference on CPUs. 169–180. 7 indexed citations
5.
Young, Jeffrey, et al.. (2024). CuPBoP: Making CUDA a Portable Language. ACM Transactions on Design Automation of Electronic Systems. 29(4). 1–25. 2 indexed citations
6.
Bertoni, Colleen, et al.. (2023). HIPLZ: Enabling performance portability for exascale systems. Concurrency and Computation Practice and Experience. 35(25). 2 indexed citations
7.
Lavin, Patrick, Jeffrey Young, & Richard Vuduc. (2023). Multifidelity Memory System Simulation in SST. 1–15. 1 indexed citations
8.
Young, Jeffrey, et al.. (2023). Future Computing with the Rogues Gallery. 13. 262–269. 2 indexed citations
9.
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Young, Jeffrey, et al.. (2022). ParaGraph: An application-simulator interface and toolkit for hardware-software co-design. 1–13. 1 indexed citations
11.
Young, Jeffrey, et al.. (2022). Accelerating Graphic Rendering on Programmable RISC-V GPUs. 1–15.
12.
Chen, Hanning, et al.. (2020). RISC-V FPGA Platform Toward ROS-Based Robotics Application. 370–370. 11 indexed citations
13.
Riedy, Jason, et al.. (2019). Wrangling Rogues. 1–8. 2 indexed citations
14.
Conte, Thomas M., Jeffrey Young, Jiajia Li, et al.. (2018). An Initial Characterization of the Emu Chick. 579–588. 10 indexed citations
15.
Young, Jeffrey, et al.. (2016). GPUShare: Fair-Sharing Middleware for GPU Clouds. 1769–1776. 13 indexed citations
16.
Lopez, M. Graham, et al.. (2015). Examining recent many-core architectures and programming models using SHOC. 1–12. 8 indexed citations
17.
18.
Young, Jeffrey & Sudhakar Yalamanchili. (2012). Commodity Converged Fabrics for Global Address Spaces in Accelerator Clouds. 303–310. 1 indexed citations
19.
Young, Jeffrey, et al.. (1989). First Occurrence Prime Gaps. Mathematics of Computation. 52(185). 221–221. 9 indexed citations
20.
Young, Jeffrey. (1985). Inside MacPaint: Sailing Through the Sea of Fatbits on a Single-Pixel Raft. Medical Entomology and Zoology. 1 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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