Yury Sokolov

11 papers and 285 indexed citations i.

About

Yury Sokolov is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yury Sokolov has authored 11 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Yury Sokolov’s work include Neural dynamics and brain function (6 papers), Functional Brain Connectivity Studies (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). Yury Sokolov is often cited by papers focused on Neural dynamics and brain function (6 papers), Functional Brain Connectivity Studies (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). Yury Sokolov collaborates with scholars based in United States, Hungary and China. Yury Sokolov's co-authors include Róbert Kozma, Paul J. Werbos, Miklós Ruszinkó, Andrew C. Papanicolaou, Samuel S. McAfee, Detlef Heck, James W. Wheless, Yu Liu, Roozbeh Rezaie and Walter J. Freeman and has published in prestigious journals such as Automatica, eLife and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Yury Sokolov i

Fields of papers citing papers by Yury Sokolov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yury Sokolov

Since Specialization
Citations

This map shows the geographic impact of Yury Sokolov'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 Yury Sokolov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yury Sokolov 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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2025