Vladimir Pozdnyakov

39 papers and 237 indexed citations i.

About

Vladimir Pozdnyakov is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Vladimir Pozdnyakov has authored 39 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 8 papers in Statistics and Probability. Recurrent topics in Vladimir Pozdnyakov’s work include Bayesian Methods and Mixture Models (7 papers), Probability and Risk Models (7 papers) and Statistical Methods and Inference (6 papers). Vladimir Pozdnyakov is often cited by papers focused on Bayesian Methods and Mixture Models (7 papers), Probability and Risk Models (7 papers) and Statistical Methods and Inference (6 papers). Vladimir Pozdnyakov collaborates with scholars based in United States and Russia. Vladimir Pozdnyakov's co-authors include Joseph Glaz, Sylvan Wallenstein, Jun Yan, Martin Kulldorff, Thomas H. Meyer, J. Michael Steele, Yubo Wang, Dipak Dey, John Steele and L. Mark Elbroch and has published in prestigious journals such as Ecology, IEEE Transactions on Signal Processing and Methods in Ecology and Evolution.

In The Last Decade

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

Fields of papers citing papers by Vladimir Pozdnyakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vladimir Pozdnyakov

Since Specialization
Citations

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