Ilya Sutskever

43 papers and 96.5k indexed citations i.

About

Ilya Sutskever is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Ilya Sutskever has authored 43 papers receiving a total of 96.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Ilya Sutskever’s work include Neural Networks and Applications (11 papers), Machine Learning and Algorithms (9 papers) and Generative Adversarial Networks and Image Synthesis (9 papers). Ilya Sutskever is often cited by papers focused on Neural Networks and Applications (11 papers), Machine Learning and Algorithms (9 papers) and Generative Adversarial Networks and Image Synthesis (9 papers). Ilya Sutskever collaborates with scholars based in United States, Canada and United Kingdom. Ilya Sutskever's co-authors include Geoffrey E. Hinton, Alex Krizhevsky, Ruslan Salakhutdinov, Nitish Srivastava, Jeff Dean, Kai Chen, Tomáš Mikolov, Greg S. Corrado, James Martens and Aja Huang and has published in prestigious journals such as Nature, Communications of the ACM and Neural Computation.

In The Last Decade

Co-authorship network of co-authors of Ilya Sutskever i

Fields of papers citing papers by Ilya Sutskever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ilya Sutskever

Since Specialization
Citations

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