Vladimir Vovk

121 papers and 3.2k indexed citations i.

About

Vladimir Vovk is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Vladimir Vovk has authored 121 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 35 papers in Computational Theory and Mathematics and 35 papers in Statistics and Probability. Recurrent topics in Vladimir Vovk’s work include Computability, Logic, AI Algorithms (35 papers), Machine Learning and Algorithms (26 papers) and Neural Networks and Applications (15 papers). Vladimir Vovk is often cited by papers focused on Computability, Logic, AI Algorithms (35 papers), Machine Learning and Algorithms (26 papers) and Neural Networks and Applications (15 papers). Vladimir Vovk collaborates with scholars based in United Kingdom, United States and Canada. Vladimir Vovk's co-authors include Alex Gammerman, Glenn Shafer, Craig Saunders, Ruodu Wang, Ilia Nouretdinov, Vladimir Vapnik, A. P. Dawid, Harris Papadopoulos, Zhiyuan Luo and Alexey Chervonenkis and has published in prestigious journals such as NeuroImage, Biometrika and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Vladimir Vovk i

Fields of papers citing papers by Vladimir Vovk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vladimir Vovk

Since Specialization
Citations

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