Volodymyr Kuleshov

22 papers and 2.2k indexed citations i.

About

Volodymyr Kuleshov is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Volodymyr Kuleshov has authored 22 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Volodymyr Kuleshov’s work include Genomics and Phylogenetic Studies (7 papers), Gene expression and cancer classification (4 papers) and Machine Learning and Algorithms (3 papers). Volodymyr Kuleshov is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Gene expression and cancer classification (4 papers) and Machine Learning and Algorithms (3 papers). Volodymyr Kuleshov collaborates with scholars based in United States, China and Italy. Volodymyr Kuleshov's co-authors include Sebastian Thrun, Andre Esteva, Jeff Dean, Mark A. DePristo, Bharath Ramsundar, Claire Cui, Greg S. Corrado, Katherine Chou, M Snyder and Serafim Batzoglou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Volodymyr Kuleshov i

Fields of papers citing papers by Volodymyr Kuleshov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Volodymyr Kuleshov

Since Specialization
Citations

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