Azalia Mirhoseini

2.6k total citations · 1 hit paper
42 papers, 962 citations indexed

About

Azalia Mirhoseini is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Azalia Mirhoseini has authored 42 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Artificial Intelligence. Recurrent topics in Azalia Mirhoseini's work include Parallel Computing and Optimization Techniques (9 papers), Sparse and Compressive Sensing Techniques (7 papers) and Advanced Neural Network Applications (7 papers). Azalia Mirhoseini is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Sparse and Compressive Sensing Techniques (7 papers) and Advanced Neural Network Applications (7 papers). Azalia Mirhoseini collaborates with scholars based in United States, China and Russia. Azalia Mirhoseini's co-authors include Farinaz Koushanfar, Ebrahim M. Songhori, Quoc V. Le, Anna Goldie, Jeff Dean, Bita Darvish Rouhani, Noam Shazeer, Geoffrey E. Hinton, Andy Davis and Joe Wenjie Jiang and has published in prestigious journals such as Nature, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Azalia Mirhoseini

39 papers receiving 927 citations

Hit Papers

A graph placement methodology for fast chip design 2021 2026 2022 2024 2021 100 200 300
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.

  1. A graph placement methodology for fast chip design
    2021 312 citations Azalia Mirhoseini, Anna Goldie et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Azalia Mirhoseini United States 13 480 313 297 181 174 42 962
Kasem Khalil United States 16 368 0.8× 297 0.9× 166 0.6× 164 0.9× 204 1.2× 109 897
Janardhan Rao Doppa United States 23 600 1.3× 472 1.5× 237 0.8× 402 2.2× 343 2.0× 132 1.4k
Indranil Saha India 15 353 0.7× 404 1.3× 168 0.6× 198 1.1× 253 1.5× 50 1.1k
Li Jiang China 21 1.3k 2.6× 366 1.2× 374 1.3× 277 1.5× 296 1.7× 162 1.8k
Hiroki Nakahara Japan 16 511 1.1× 321 1.0× 202 0.7× 110 0.6× 485 2.8× 98 971
Caiwen Ding United States 22 782 1.6× 833 2.7× 219 0.7× 347 1.9× 617 3.5× 117 1.8k
Yangdong Deng China 20 366 0.8× 143 0.5× 467 1.6× 450 2.5× 240 1.4× 93 1.2k
Oliver Bringmann Germany 19 381 0.8× 215 0.7× 637 2.1× 439 2.4× 237 1.4× 205 1.5k

Countries citing papers authored by Azalia Mirhoseini

Since Specialization
Citations

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

Fields of papers citing papers by Azalia Mirhoseini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azalia Mirhoseini

This figure shows the co-authorship network connecting the top 25 collaborators of Azalia Mirhoseini. A scholar is included among the top collaborators of Azalia Mirhoseini 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 Azalia Mirhoseini. Azalia Mirhoseini 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.
Goldie, Anna, Azalia Mirhoseini, Mustafa Ege Yazgan, et al.. (2024). Addendum: A graph placement methodology for fast chip design. Nature. 634(8034). E10–E11. 3 indexed citations
2.
Jain, Paras, et al.. (2022). Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). 2 indexed citations
3.
Jain, Paras, et al.. (2021). Representing Long-Range Context for Graph Neural Networks with Global Attention. Neural Information Processing Systems. 34. 7 indexed citations
4.
Mirhoseini, Azalia, Anna Goldie, Mustafa Ege Yazgan, et al.. (2021). A graph placement methodology for fast chip design. Nature. 594(7862). 207–212. 312 indexed citations breakdown →
5.
Goldie, Anna & Azalia Mirhoseini. (2021). Reinforcement Learning for Placement Optimization. 5–5. 3 indexed citations
6.
Nguyen, Thien Duc, Phillip Rieger, Hossein Yalame, et al.. (2021). BAFFLE: TOWARDS RESOLVING FEDERATED LEARNING’S DILEMMA - THWARTING BACKDOOR AND INFERENCE ATTACKS. 1 indexed citations
7.
Wang, Xin, Fisher Yu, Yi-An Ma, et al.. (2020). Deep Mixture of Experts via Shallow Embedding. Uncertainty in Artificial Intelligence. 552–562. 16 indexed citations
8.
Goldie, Anna & Azalia Mirhoseini. (2020). Placement Optimization with Deep Reinforcement Learning. 3–7. 23 indexed citations
9.
Mirhoseini, Azalia, Anna Goldie, Hieu Pham, et al.. (2018). A Hierarchical Model for Device Placement. International Conference on Learning Representations. 55 indexed citations
10.
Mirhoseini, Azalia, Bita Darvish Rouhani, Ebrahim M. Songhori, & Farinaz Koushanfar. (2016). Perform-ML. 1–6. 11 indexed citations
11.
Rouhani, Bita Darvish, Azalia Mirhoseini, Ebrahim M. Songhori, & Farinaz Koushanfar. (2016). Automated Analysis of Streaming Big and Dense Data on Reconfigurable Platforms. 1 indexed citations
12.
Rouhani, Bita Darvish, Azalia Mirhoseini, Ebrahim M. Songhori, & Farinaz Koushanfar. (2016). Automated Real-Time Analysis of Streaming Big and Dense Data on Reconfigurable Platforms. ACM Transactions on Reconfigurable Technology and Systems. 10(1). 1–22. 8 indexed citations
13.
Mirhoseini, Azalia, Ahmad‐Reza Sadeghi, & Farinaz Koushanfar. (2016). CryptoML: Secure outsourcing of big data machine learning applications. 149–154. 8 indexed citations
14.
Mirhoseini, Azalia, Ebrahim M. Songhori, Bita Darvish Rouhani, & Farinaz Koushanfar. (2015). Flexible Transformations For Learning Big Data. 453–454. 2 indexed citations
15.
Rouhani, Bita Darvish, Ebrahim M. Songhori, Azalia Mirhoseini, & Farinaz Koushanfar. (2015). SSketch: An Automated Framework for Streaming Sketch-Based Analysis of Big Data on FPGA. 187–194. 21 indexed citations
16.
Songhori, Ebrahim M., et al.. (2015). AHEAD: Automated Framework for Hardware Accelerated Iterative Data Analysis. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015. 942–947.
17.
Mirhoseini, Azalia, Ebrahim M. Songhori, & Farinaz Koushanfar. (2013). Automated checkpointing for enabling intensive applications on energy harvesting devices. 27–32. 15 indexed citations
18.
Mirhoseini, Azalia, Ebrahim M. Songhori, & Farinaz Koushanfar. (2013). Idetic: A high-level synthesis approach for enabling long computations on transiently-powered ASICs. 216–224. 55 indexed citations
19.
Mirhoseini, Azalia & Farinaz Koushanfar. (2011). Learning to manage combined energy supply systems. 229–234. 5 indexed citations
20.
Koushanfar, Farinaz & Azalia Mirhoseini. (2010). A Unified Framework for Multimodal Submodular Integrated Circuits Trojan Detection. IEEE Transactions on Information Forensics and Security. 6(1). 162–174. 92 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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