Jeremy W. Sheaffer

4.6k total citations · 2 hit papers
18 papers, 3.4k citations indexed

About

Jeremy W. Sheaffer is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Jeremy W. Sheaffer has authored 18 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hardware and Architecture, 10 papers in Computer Networks and Communications and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Jeremy W. Sheaffer's work include Parallel Computing and Optimization Techniques (13 papers), Interconnection Networks and Systems (6 papers) and Advanced Data Storage Technologies (5 papers). Jeremy W. Sheaffer is often cited by papers focused on Parallel Computing and Optimization Techniques (13 papers), Interconnection Networks and Systems (6 papers) and Advanced Data Storage Technologies (5 papers). Jeremy W. Sheaffer collaborates with scholars based in United States, United Kingdom and Saudi Arabia. Jeremy W. Sheaffer's co-authors include Kevin Skadron, Shuai Che, Michael Boyer, Jiayuan Meng, David Tarjan, Sangha Lee, David Luebke, Jie Li, John Lach and Lukasz G. Szafaryn and has published in prestigious journals such as Journal of Parallel and Distributed Computing, The Journal of Supercomputing and Studies in health technology and informatics.

In The Last Decade

Jeremy W. Sheaffer

18 papers receiving 3.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rodinia: A benchmark suite for heterogeneous computing

2009 2.2k citations Shuai Che, Michael Boyer et al. profile →
A performance study of general-purpose applications on graphics processors using CUDA

2008 451 citations Shuai Che, Michael Boyer et al. Journal of Parallel and Distributed Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeremy W. Sheaffer United States	12	2.7k	2.4k	739	655	370	18	3.4k
Shuai Che United States	15	2.9k 1.1×	2.5k 1.1×	843 1.1×	623 1.0×	429 1.2×	32	3.6k
Hyesoon Kim United States	32	3.4k 1.2×	3.2k 1.3×	986 1.3×	977 1.5×	736 2.0×	152	4.5k
Huiyang Zhou United States	26	1.8k 0.6×	1.5k 0.6×	428 0.6×	582 0.9×	567 1.5×	120	2.4k
David Tarjan United States	23	4.5k 1.7×	3.4k 1.4×	874 1.2×	2.2k 3.4×	444 1.2×	32	5.7k
Eduard Ayguadé Spain	33	3.5k 1.3×	3.6k 1.5×	1.4k 1.9×	598 0.9×	428 1.2×	315	4.8k
Kimberly Keeton United States	25	1.5k 0.5×	2.6k 1.1×	1000 1.4×	580 0.9×	437 1.2×	72	3.3k
Martin Burtscher United States	28	2.1k 0.8×	2.0k 0.8×	487 0.7×	507 0.8×	718 1.9×	122	3.1k
Andrew Waterman United States	14	1.8k 0.7×	1.2k 0.5×	272 0.4×	806 1.2×	462 1.2×	24	2.7k
Jesús Labarta Spain	32	3.1k 1.1×	3.4k 1.4×	1.3k 1.8×	401 0.6×	284 0.8×	254	4.2k
Sanjay J. Patel United States	31	1.9k 0.7×	1.3k 0.5×	286 0.4×	993 1.5×	240 0.6×	84	2.5k

Countries citing papers authored by Jeremy W. Sheaffer

Since Specialization

Citations

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

Fields of papers citing papers by Jeremy W. Sheaffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy W. Sheaffer. 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 Jeremy W. Sheaffer. The network helps show where Jeremy W. Sheaffer may publish in the future.

Co-authorship network of co-authors of Jeremy W. Sheaffer

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Le, Wei, et al.. (2023). Reducing branch divergence to speed up parallel execution of unit testing on GPUs. The Journal of Supercomputing. 79(16). 18340–18374. 2 indexed citations

Radkowski, Rafael, et al.. (2016). GPU-accelerated descriptor extraction process for 3D registration in Augmented Reality. 36. 3085–3090. 5 indexed citations

Meng, Jiayuan, Jeremy W. Sheaffer, & Kevin Skadron. (2012). Robust SIMD: Dynamically Adapted SIMD Width and Multi-Threading Depth. 107–118. 15 indexed citations

Che, Shuai, et al.. (2012). Programming with Relaxed Streams. 1 indexed citations

Che, Shuai, Jeremy W. Sheaffer, & Kevin Skadron. (2011). Dymaxion. 1–11. 84 indexed citations

Meng, Jiayuan, Jeremy W. Sheaffer, & Kevin Skadron. (2010). Exploiting inter-thread temporal locality for chip multithreading. 1–12. 19 indexed citations

Che, Shuai, Jeremy W. Sheaffer, Michael Boyer, et al.. (2010). A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads. 1–11. 200 indexed citations

Che, Shuai, Michael Boyer, Jiayuan Meng, et al.. (2009). Rodinia: A benchmark suite for heterogeneous computing. 44–54. 2191 indexed citations breakdown →

Meng, Jiayuan, Shuai Che, Jeremy W. Sheaffer, et al.. (2008). Hierarchical Domain Partitioning For Hierarchical Architectures. 1 indexed citations

10.

Che, Shuai, Jie Li, Jeremy W. Sheaffer, Kevin Skadron, & John Lach. (2008). Accelerating Compute-Intensive Applications with GPUs and FPGAs. 101–107. 216 indexed citations

11.

Che, Shuai, Michael Boyer, Jiayuan Meng, et al.. (2008). A performance study of general-purpose applications on graphics processors using CUDA. Journal of Parallel and Distributed Computing. 68(10). 1370–1380. 451 indexed citations breakdown →

12.

Sheaffer, Jeremy W., David Luebke, & Kevin Skadron. (2007). A hardware redundancy and recovery mechanism for reliable scientific computation on graphics processors. 55–64. 54 indexed citations

13.

Sheaffer, Jeremy W., David Luebke, & Kevin Skadron. (2006). The visual vulnerability spectrum. 9–9. 20 indexed citations

14.

Sheaffer, Jeremy W., Kevin Skadron, & David Luebke. (2005). Studying Thermal Management for Graphics-Processor Architectures. 33 indexed citations

15.

Sheaffer, Jeremy W., Kevin Skadron, & David Luebke. (2005). Fine-grained graphics architectural simulation with Qsilver. 118–118. 4 indexed citations

16.

Sheaffer, Jeremy W., David Luebke, & Kevin Skadron. (2004). A flexible simulation framework for graphics architectures. 85–94. 56 indexed citations

17.

Sheaffer, Jeremy W., Kevin Skadron, & David Luebke. (2004). Temperature-aware GPU design. 100–100. 4 indexed citations

18.

Haluck, Randy S., et al.. (2002). Elastically Deformable 3D Organs for Haptic Surgical Simulation. Studies in health technology and informatics. 85. 570–2. 15 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.

Explore authors with similar magnitude of impact