Pavel Ruzankin

36 papers and 271 indexed citations i.

About

Pavel Ruzankin is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Statistics and Probability. According to data from OpenAlex, Pavel Ruzankin has authored 36 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Cardiology and Cardiovascular Medicine and 8 papers in Statistics and Probability. Recurrent topics in Pavel Ruzankin’s work include Bayesian Methods and Mixture Models (7 papers), Probability and Risk Models (7 papers) and Stochastic processes and statistical mechanics (5 papers). Pavel Ruzankin is often cited by papers focused on Bayesian Methods and Mixture Models (7 papers), Probability and Risk Models (7 papers) and Stochastic processes and statistical mechanics (5 papers). Pavel Ruzankin collaborates with scholars based in Russia, United States and United Kingdom. Pavel Ruzankin's co-authors include А. А. Боровков, I. S. Borisov, Viachaslau Barodka, Jennifer S. Lawton, Glenn J.R. Whitman, Jeffrey M. Dodd‐o, Michael C. Grant, Peter Harremoës, Allan Gottschalk and Kaushik Mandal and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Information Theory and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Co-authorship network of co-authors of Pavel Ruzankin i

Fields of papers citing papers by Pavel Ruzankin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pavel Ruzankin

Since Specialization
Citations

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