А.В. Куракин

About

А.В. Куракин is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, А.В. Куракин has authored 5 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Science Applications. Recurrent topics in А.В. Куракин’s work include Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Neural Network Applications (1 paper). А.В. Куракин is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Neural Network Applications (1 paper). А.В. Куракин collaborates with scholars based in United States and Japan. А.В. Куракин's co-authors include David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Kihyuk Sohn, Colin Raffel, Han Zhang, Nicolas Papernot, Gamaleldin F. Elsayed, Shreya Shankar and Ian Goodfellow and has published in prestigious journals such as Journal of Artificial Intelligence Research, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of А.В. Куракин i

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Fields of papers citing papers by А.В. Куракин

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by А.В. Куракин. 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 А.В. Куракин. The network helps show where А.В. Куракин may publish in the future.

Countries citing papers authored by А.В. Куракин

Since Specialization

Citations

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

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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