Ekin D. Cubuk

147 total papers · 19.6k total citations
59 papers, 7.7k citations indexed

About

Ekin D. Cubuk is a scholar working on Materials Chemistry, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ekin D. Cubuk has authored 59 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Materials Chemistry, 14 papers in Artificial Intelligence and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Ekin D. Cubuk's work include Machine Learning in Materials Science (21 papers), Advanced Neural Network Applications (10 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Ekin D. Cubuk is often cited by papers focused on Machine Learning in Materials Science (21 papers), Advanced Neural Network Applications (10 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Ekin D. Cubuk collaborates with scholars based in United States, United Kingdom and China. Ekin D. Cubuk's co-authors include Barret Zoph, Quoc V. Le, Samuel S. Schoenholz, Yu Zhang, Daniel Park, William Chan, Chung‐Cheng Chiu, Vijay Vasudevan, Efthimios Kaxiras and Evan J. Reed and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Ekin D. Cubuk

58 papers receiving 7.4k citations

Hit Papers

SpecAugment: A Simple Dat... 2019 2026 2021 2023 2019 2019 2023 2023 2020 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ekin D. Cubuk 2.7k 2.7k 1.4k 1.3k 1.1k 59 7.7k
Koji Tsuda 2.4k 0.9× 2.4k 0.9× 548 0.4× 1.8k 1.4× 835 0.8× 213 8.9k
Nikolaus Hansen 7.7k 2.8× 939 0.4× 353 0.2× 909 0.7× 1000 0.9× 105 13.1k
K. Müller 3.3k 1.2× 3.1k 1.2× 2.4k 1.7× 2.3k 1.7× 1.7k 1.6× 161 14.9k
G. Beni 1.5k 0.6× 1.3k 0.5× 390 0.3× 882 0.7× 1.7k 1.6× 117 7.1k
Ryan P. Adams 2.9k 1.1× 1.6k 0.6× 362 0.3× 818 0.6× 792 0.7× 94 8.9k
L. D. Jackel 3.8k 1.4× 338 0.1× 631 0.4× 4.0k 3.0× 2.0k 1.9× 88 11.5k
Zhiguang Wang 889 0.3× 3.6k 1.4× 704 0.5× 265 0.2× 1.8k 1.6× 376 8.0k
Grégoire Montavon 5.3k 2.0× 1.1k 0.4× 471 0.3× 1.7k 1.3× 594 0.6× 49 10.2k
H. S. M. Coxeter 1.1k 0.4× 765 0.3× 219 0.2× 760 0.6× 1.5k 1.4× 130 8.1k
Risi Kondor 1.2k 0.4× 3.6k 1.4× 250 0.2× 724 0.6× 611 0.6× 34 5.9k

Countries citing papers authored by Ekin D. Cubuk

Since Specialization
Citations

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

Fields of papers citing papers by Ekin D. Cubuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ekin D. Cubuk. 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 Ekin D. Cubuk. The network helps show where Ekin D. Cubuk may publish in the future.

Co-authorship network of co-authors of Ekin D. Cubuk

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

All Works

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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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