Anna Goldie

1.9k total citations · 1 hit paper
13 papers, 820 citations indexed

About

Anna Goldie is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Anna Goldie has authored 13 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Anna Goldie's work include VLSI and FPGA Design Techniques (6 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (4 papers). Anna Goldie is often cited by papers focused on VLSI and FPGA Design Techniques (6 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (4 papers). Anna Goldie collaborates with scholars based in United States and United Kingdom. Anna Goldie's co-authors include Quoc V. Le, Denny Britz, Minh-Thang Luong, Azalia Mirhoseini, Jeff Dean, Stephan Gouws, Ray Kurzweil, Brian Strope, Young‐Joon Lee and Joe Wenjie Jiang and has published in prestigious journals such as Nature, arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Anna Goldie

13 papers receiving 776 citations

Hit Papers

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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Goldie United States 8 434 226 187 107 64 13 820
Xuefei Ning China 13 281 0.6× 420 1.9× 184 1.0× 123 1.1× 62 1.0× 44 737
Ebrahim M. Songhori United States 11 465 1.1× 302 1.3× 83 0.4× 141 1.3× 111 1.7× 23 851
Kasem Khalil United States 16 297 0.7× 368 1.6× 204 1.1× 166 1.6× 164 2.6× 109 897
Azalia Mirhoseini United States 13 313 0.7× 480 2.1× 174 0.9× 297 2.8× 181 2.8× 42 962
Rocco Fazzolari Italy 15 215 0.5× 299 1.3× 92 0.5× 47 0.4× 147 2.3× 56 765
Brody Huval United States 3 986 2.3× 111 0.5× 516 2.8× 67 0.6× 70 1.1× 3 1.5k
Muhammad Abdullah Hanif Austria 21 379 0.9× 638 2.8× 262 1.4× 207 1.9× 103 1.6× 73 1.0k
Suyog Gupta United States 8 426 1.0× 270 1.2× 456 2.4× 110 1.0× 106 1.7× 8 835
Shaohuai Shi Hong Kong 13 492 1.1× 137 0.6× 351 1.9× 78 0.7× 181 2.8× 37 813

Countries citing papers authored by Anna Goldie

Since Specialization
Citations

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

Fields of papers citing papers by Anna Goldie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Goldie

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

All Works

13 of 13 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
3.
Yue, Summer, Ebrahim M. Songhori, Joe Wenjie Jiang, et al.. (2022). Scalability and Generalization of Circuit Training for Chip Floorplanning. 65–70. 3 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.
Jiang, Zixuan, Ebrahim M. Songhori, Shen Wang, et al.. (2021). Delving into Macro Placement with Reinforcement Learning. 1–3. 7 indexed citations
7.
Goldie, Anna & Azalia Mirhoseini. (2020). Placement Optimization with Deep Reinforcement Learning. 3–7. 23 indexed citations
8.
Mirhoseini, Azalia, Anna Goldie, Hieu Pham, et al.. (2018). A Hierarchical Model for Device Placement. International Conference on Learning Representations. 55 indexed citations
9.
Mirhoseini, Azalia, et al.. (2018). Hierarchical Planning for Device Placement. 9 indexed citations
10.
Gouws, Stephan, et al.. (2017). Generating Long and Diverse Responses with Neural Conversation Models. arXiv (Cornell University). 33 indexed citations
11.
Shao, Yuanlong, Stephan Gouws, Denny Britz, et al.. (2017). Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models. 2210–2219. 92 indexed citations
12.
Britz, Denny, Anna Goldie, Minh-Thang Luong, & Quoc V. Le. (2017). Massive Exploration of Neural Machine Translation Architectures. 1442–1451. 271 indexed citations
13.
Goldie, Anna, et al.. (2009). Automatic question generation and answer judging: a q&a game for language learning.. 57–60. 2 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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