Sean Lie

797 total citations
11 papers, 519 citations indexed

About

Sean Lie is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Sean Lie has authored 11 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Hardware and Architecture and 2 papers in Artificial Intelligence. Recurrent topics in Sean Lie's work include Parallel Computing and Optimization Techniques (4 papers), Distributed systems and fault tolerance (3 papers) and Cognitive Functions and Memory (2 papers). Sean Lie is often cited by papers focused on Parallel Computing and Optimization Techniques (4 papers), Distributed systems and fault tolerance (3 papers) and Cognitive Functions and Memory (2 papers). Sean Lie collaborates with scholars based in United States and Canada. Sean Lie's co-authors include C. Scott Ananian, Krste Asanović, Bradley C. Kuszmaul, Charles E. Leiserson, G. Lauterbach, Wenjun Zhang, Min Xu, A.S. Dhodapkar, Rajeev Balasubramonian and S. Balakrishnan and has published in prestigious journals such as IEEE Micro and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Sean Lie

11 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sean Lie United States	7	459	386	109	58	39	11	519
Luke Yen United States	11	823 1.8×	703 1.8×	141 1.3×	83 1.4×	47 1.2×	17	839
Dave Dice United States	13	659 1.4×	558 1.4×	97 0.9×	49 0.8×	55 1.4×	35	690
Austen McDonald United States	14	971 2.1×	839 2.2×	228 2.1×	51 0.9×	89 2.3×	22	993
Torvald Riegel Switzerland	9	667 1.5×	487 1.3×	215 2.0×	42 0.7×	39 1.0×	10	680
Anders Landin Sweden	11	615 1.3×	580 1.5×	19 0.2×	149 2.6×	36 0.9×	21	735
Michael Van Biesbrouck United States	9	391 0.9×	444 1.2×	15 0.1×	118 2.0×	28 0.7×	11	493
Shailender Chaudhry United States	6	304 0.7×	335 0.9×	19 0.2×	111 1.9×	31 0.8×	12	384
Alexander Matveev United States	9	202 0.4×	147 0.4×	34 0.3×	27 0.5×	53 1.4×	24	240
Sean White United States	6	179 0.4×	193 0.5×	20 0.2×	166 2.9×	24 0.6×	13	321
Patrick Marlier Switzerland	6	245 0.5×	172 0.4×	50 0.5×	58 1.0×	9 0.2×	9	266

Countries citing papers authored by Sean Lie

Since Specialization

Citations

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

Fields of papers citing papers by Sean Lie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Lie

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Lie. A scholar is included among the top collaborators of Sean Lie 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 Sean Lie. Sean Lie 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:

11 of 11 papers shown

1.

Saxena, Shreyas, et al.. (2024). MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. 214–230. 1 indexed citations

2.

Lie, Sean. (2024). Wafer-Scale AI: GPU Impossible Performance. 1–71. 2 indexed citations

3.

Lie, Sean. (2024). Inside the Cerebras Wafer-Scale Cluster. IEEE Micro. 44(3). 49–57. 7 indexed citations

4.

Lie, Sean. (2023). Cerebras Architecture Deep Dive: First Look Inside the Hardware/Software Co-Design for Deep Learning. IEEE Micro. 43(3). 18–30. 27 indexed citations

5.

Lie, Sean. (2022). Cerebras Architecture Deep Dive: First Look Inside the HW/SW Co-Design for Deep Learning : Cerebras Systems. 1–34. 28 indexed citations

6.

Lie, Sean. (2021). Multi-Million Core, Multi-Wafer AI Cluster. 1–41. 12 indexed citations

7.

Sudan, Kshitij, et al.. (2013). A novel system architecture for web scale applications using lightweight CPUs and virtualized I/O. 167–178. 6 indexed citations

8.

Dhodapkar, A.S., et al.. (2011). SeaMicro SM10000-64 server: Building datacenter servers using cell phone chips. 1–18. 10 indexed citations

9.

Ananian, C. Scott, Krste Asanović, Bradley C. Kuszmaul, Charles E. Leiserson, & Sean Lie. (2006). Unbounded Transactional Memory. IEEE Micro. 26(1). 59–69. 115 indexed citations

10.

Ananian, C. Scott, Krste Asanović, Bradley C. Kuszmaul, Charles E. Leiserson, & Sean Lie. (2005). Unbounded Transactional Memory. 316–327. 310 indexed citations

11.

Lie, Sean, Krste Asanović, Bradley C. Kuszmaul, & Charles E. Leiserson. (2004). Hardware Transactional Memory. DSpace@MIT (Massachusetts Institute of Technology). 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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