Jeff Pool

1.5k total citations
10 papers, 242 citations indexed

About

Jeff Pool is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jeff Pool has authored 10 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hardware and Architecture, 5 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Jeff Pool's work include Parallel Computing and Optimization Techniques (6 papers), Low-power high-performance VLSI design (3 papers) and Advanced Data Storage Technologies (3 papers). Jeff Pool is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Low-power high-performance VLSI design (3 papers) and Advanced Data Storage Technologies (3 papers). Jeff Pool collaborates with scholars based in United States, United Kingdom and China. Jeff Pool's co-authors include Montek Singh, Anselmo Lastra, Song Han, Huizi Mao, William J. Dally, Xingyu Liu, Wenshuo Li, Yu Wang, Chong Yu and Enhao Gong and has published in prestigious journals such as Journal of Low Power Electronics, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Jeff Pool

10 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff Pool United States	8	151	81	78	54	37	10	242
Yonggan Fu United States	11	131 0.9×	84 1.0×	167 2.1×	38 0.7×	15 0.4×	35	305
Richard Membarth Germany	10	99 0.7×	63 0.8×	32 0.4×	184 3.4×	99 2.7×	33	304
Dong-Hyeon Park United States	7	115 0.8×	106 1.3×	86 1.1×	196 3.6×	131 3.5×	8	312
Siying Feng United States	9	122 0.8×	128 1.6×	90 1.2×	226 4.2×	156 4.2×	19	378
Sungdae Cho United States	8	259 1.7×	34 0.4×	21 0.3×	33 0.6×	42 1.1×	25	324
Loc N. Huynh Singapore	4	209 1.4×	70 0.9×	80 1.0×	27 0.5×	107 2.9×	5	297
Zhuoran Song China	8	105 0.7×	91 1.1×	70 0.9×	25 0.5×	19 0.5×	48	220
Subhankar Pal United States	9	126 0.8×	129 1.6×	95 1.2×	233 4.3×	162 4.4×	24	379
Aporva Amarnath United States	9	120 0.8×	148 1.8×	89 1.1×	241 4.5×	181 4.9×	16	399
Xueming Li China	8	178 1.2×	40 0.5×	53 0.7×	7 0.1×	20 0.5×	44	249

Countries citing papers authored by Jeff Pool

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Pool

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Pool

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

All Works

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10 of 10 papers shown

1.

Pool, Jeff, et al.. (2021). Channel Permutations for N:M Sparsity. Neural Information Processing Systems. 34. 6 indexed citations

2.

Yu, Chong & Jeff Pool. (2020). Self-Supervised Generative Adversarial Compression.. Neural Information Processing Systems. 33. 8235–8246. 5 indexed citations

3.

Mao, Huizi, Song Han, Jeff Pool, et al.. (2017). Exploring the Granularity of Sparsity in Convolutional Neural Networks. 1927–1934. 129 indexed citations

4.

Han, Song, Jeff Pool, Sharan Narang, et al.. (2016). DSD: Dense-Sparse-Dense Training for Deep Neural Networks. arXiv (Cornell University). 12 indexed citations

5.

Pool, Jeff, Anselmo Lastra, & Montek Singh. (2012). Lossless compression of variable-precision floating-point buffers on GPUs. 47–54. 8 indexed citations

6.

Lastra, Anselmo, Montek Singh, & Jeff Pool. (2012). Energy-precision tradeoffs in the graphics pipeline. 10 indexed citations

7.

Pool, Jeff, Anselmo Lastra, & Montek Singh. (2011). Precision selection for energy-efficient pixel shaders. 159–168. 18 indexed citations

8.

Pool, Jeff, Anselmo Lastra, & Montek Singh. (2011). Power-Gated Arithmetic Circuits for Energy-Precision Tradeoffs in Mobile Graphics Processing Units. Journal of Low Power Electronics. 7(2). 148–162. 8 indexed citations

9.

Pool, Jeff, Anselmo Lastra, & Montek Singh. (2010). An energy model for graphics processing units. 409–416. 19 indexed citations

10.

Pool, Jeff, Anselmo Lastra, & Montek Singh. (2008). Energy-precision tradeoffs in mobile Graphics Processing Units. 60–67. 27 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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