Inna Perevozskaya

23 papers and 1.1k indexed citations i.

About

Inna Perevozskaya is a scholar working on Statistics and Probability, Economics and Econometrics and Surgery. According to data from OpenAlex, Inna Perevozskaya has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 9 papers in Economics and Econometrics and 8 papers in Surgery. Recurrent topics in Inna Perevozskaya’s work include Statistical Methods in Clinical Trials (14 papers), Lipoproteins and Cardiovascular Health (8 papers) and Optimal Experimental Design Methods (8 papers). Inna Perevozskaya is often cited by papers focused on Statistical Methods in Clinical Trials (14 papers), Lipoproteins and Cardiovascular Health (8 papers) and Optimal Experimental Design Methods (8 papers). Inna Perevozskaya collaborates with scholars based in United States, United Kingdom and South Africa. Inna Perevozskaya's co-authors include Sukrut Shah, Diane L. Tribble, Dieter Lütjohann, Michael Igel, Thomas Sudhop, Klaus von Bergmann, Yale Mitchel, Michel Farnier, Geraldine Macdonell and Michael J. Davies and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Inna Perevozskaya i

Fields of papers citing papers by Inna Perevozskaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Inna Perevozskaya

Since Specialization
Citations

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