Alexey Kurakin

7.9k total citations
9 papers, 378 citations indexed

About

Alexey Kurakin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Alexey Kurakin has authored 9 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Alexey Kurakin's work include Adversarial Robustness in Machine Learning (5 papers), Cryptography and Data Security (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Alexey Kurakin is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Cryptography and Data Security (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Alexey Kurakin collaborates with scholars based in United States and Russia. Alexey Kurakin's co-authors include Zheng Zhang, Esteban Real, Saurabh Saxena, Sherry Moore, Jie Tan, Quoc V. Le, Andrew Selle, Natalia Ponomareva, Sergei Vassilvitskii and Matthew Jagielski and has published in prestigious journals such as Nature Communications, Journal of Vision and arXiv (Cornell University).

In The Last Decade

Alexey Kurakin

6 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexey Kurakin United States 4 242 215 93 46 22 9 378
Vinay Shet United States 8 293 1.2× 111 0.5× 45 0.5× 61 1.3× 11 0.5× 15 342
Christian Gollan Germany 13 182 0.8× 367 1.7× 25 0.3× 11 0.2× 12 0.5× 18 520
Shu-Fai Wong United Kingdom 6 585 2.4× 231 1.1× 156 1.7× 149 3.2× 8 0.4× 8 665
Stefan Eickeler Germany 11 413 1.7× 121 0.6× 51 0.5× 40 0.9× 9 0.4× 37 528
Siming He China 5 53 0.2× 120 0.6× 51 0.5× 29 0.6× 30 1.4× 11 235
R. V. Dharaskar India 11 156 0.6× 100 0.5× 35 0.4× 21 0.5× 12 0.5× 45 349
Enrique Yeguas-Bolívar Spain 8 126 0.5× 58 0.3× 22 0.2× 16 0.3× 10 0.5× 29 218
Colin Ponce United States 4 186 0.8× 73 0.3× 54 0.6× 55 1.2× 36 1.6× 7 261

Countries citing papers authored by Alexey Kurakin

Since Specialization
Citations

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

Fields of papers citing papers by Alexey Kurakin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Kurakin

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

All Works

9 of 9 papers shown
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Amin, Kareem, Weiwei Kong, Alexey Kurakin, et al.. (2024). Private prediction for large-scale synthetic text generation. 7244–7262.
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Shankar, Shreya, Brian Cheung, Nicolas Papernot, et al.. (2023). Subtle adversarial image manipulations influence both human and machine perception. Nature Communications. 14(1). 4933–4933. 3 indexed citations
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Ponomareva, Natalia, et al.. (2023). How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy. 5823–5824. 6 indexed citations
7.
Elsayed, Gamaleldin F., Shreya Shankar, Brian Cheung, et al.. (2019). Adversarial examples influence human visual perception. Journal of Vision. 19(10). 190c–190c. 3 indexed citations
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Real, Esteban, Sherry Moore, Andrew Selle, et al.. (2017). Large-Scale Evolution of Image Classifiers. arXiv (Cornell University). 2902–2911. 243 indexed citations
9.
Kurakin, Alexey, et al.. (2016). A Real Time System For Dynamic Hand Gesture Recognition With A Depth Sensor. Zenodo (CERN European Organization for Nuclear Research). 1975–1979. 120 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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2026