Meghan Cowan

1.2k total citations · 1 hit paper
6 papers, 568 citations indexed

About

Meghan Cowan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Meghan Cowan has authored 6 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Meghan Cowan's work include Neural Networks and Applications (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Advanced Neural Network Applications (2 papers). Meghan Cowan is often cited by papers focused on Neural Networks and Applications (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Advanced Neural Network Applications (2 papers). Meghan Cowan collaborates with scholars based in United States and China. Meghan Cowan's co-authors include Luís Ceze, Thierry Moreau, Tianqi Chen, Eddie Yan, Haichen Shen, Leyuan Wang, Arvind Krishnamurthy, Ziheng Jiang, Yuwei Hu and Lianmin Zheng and has published in prestigious journals such as Operating Systems Design and Implementation and arXiv (Cornell University).

In The Last Decade

Meghan Cowan

5 papers receiving 544 citations

Hit Papers

align trajectories

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.

TVM: an automated end-to-end optimizing compiler for deep learning

2018 522 citations Tianqi Chen, Thierry Moreau et al. Operating Systems Design and Implementation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meghan Cowan United States	4	313	251	223	156	132	6	568
Yuwei Hu United States	10	463 1.5×	341 1.4×	342 1.5×	231 1.5×	213 1.6×	12	858
Suchit Subhaschandra United Kingdom	7	221 0.7×	143 0.6×	213 1.0×	239 1.5×	171 1.3×	8	518
Guihai Yan China	12	254 0.8×	127 0.5×	225 1.0×	368 2.4×	148 1.1×	59	578
Ramyad Hadidi United States	15	314 1.0×	210 0.8×	329 1.5×	261 1.7×	391 3.0×	31	781
Saketh Rama United States	6	307 1.0×	235 0.9×	174 0.8×	469 3.0×	87 0.7×	7	675
Robert Adolf United States	7	295 0.9×	227 0.9×	347 1.6×	427 2.7×	190 1.4×	11	783
Wencong Xiao China	10	290 0.9×	255 1.0×	176 0.8×	122 0.8×	314 2.4×	25	683
Ritchie Zhao United States	12	263 0.8×	180 0.7×	317 1.4×	297 1.9×	181 1.4×	15	660
Emmanuel Amaro United States	8	211 0.7×	180 0.7×	317 1.4×	299 1.9×	242 1.8×	15	674
David Sheffield United States	8	196 0.6×	171 0.7×	212 1.0×	235 1.5×	147 1.1×	14	552

Countries citing papers authored by Meghan Cowan

Since Specialization

Citations

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

Fields of papers citing papers by Meghan Cowan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meghan Cowan

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

All Works

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6 of 6 papers shown

1.

Cowan, Meghan, et al.. (2024). Towards a Standardized Representation for Deep Learning Collective Algorithms. arXiv (Cornell University). 33–36.

2.

Cowan, Meghan, Saeed Maleki, Madanlal Musuvathi, Olli Saarikivi, & Yifan Xiong. (2023). MSCCLang: Microsoft Collective Communication Language. 502–514. 12 indexed citations

3.

Cowan, Meghan, et al.. (2020). Riptide: Fast End-to-End Binarized Neural Networks. 2. 379–389. 8 indexed citations

4.

Cowan, Meghan, et al.. (2020). SoK: Opportunities for Software-Hardware-Security Codesign for Next Generation Secure Computing. 1–9. 3 indexed citations

5.

Cowan, Meghan, Thierry Moreau, Tianqi Chen, James Bornholt, & Luís Ceze. (2020). Automatic generation of high-performance quantized machine learning kernels. 305–316. 23 indexed citations

6.

Chen, Tianqi, Thierry Moreau, Ziheng Jiang, et al.. (2018). TVM: an automated end-to-end optimizing compiler for deep learning. Operating Systems Design and Implementation. 578–594. 522 indexed citations breakdown →

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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