Irina A. Suslina

16 papers and 259 indexed citations i.

About

Irina A. Suslina is a scholar working on Statistics and Probability, Numerical Analysis and Applied Mathematics. According to data from OpenAlex, Irina A. Suslina has authored 16 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 8 papers in Numerical Analysis and 6 papers in Applied Mathematics. Recurrent topics in Irina A. Suslina’s work include Mathematical Approximation and Integration (8 papers), Statistical Methods and Inference (7 papers) and Image and Signal Denoising Methods (3 papers). Irina A. Suslina is often cited by papers focused on Mathematical Approximation and Integration (8 papers), Statistical Methods and Inference (7 papers) and Image and Signal Denoising Methods (3 papers). Irina A. Suslina collaborates with scholars based in Russia, Cyprus and Bulgaria. Irina A. Suslina's co-authors include Yu. I. Ingster, Yuri I. Ingster, Theofanis Sapatinas and Cristina Butucea and has published in prestigious journals such as The Annals of Statistics, Lecture notes in statistics and ESAIM Probability and Statistics.

In The Last Decade

Co-authorship network of co-authors of Irina A. Suslina i

Fields of papers citing papers by Irina A. Suslina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irina A. Suslina. 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 Irina A. Suslina. The network helps show where Irina A. Suslina may publish in the future.

Countries citing papers authored by Irina A. Suslina

Since Specialization
Citations

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